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Molecular Physics
An International Journal at the Interface Between Chemistry and Physics
Volume 117, 2019 - Issue 7-8: NMR Relaxometry and Related Methods
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NMR Relaxometry and Related Methods

Theory of fast field-cycling NMR relaxometry of liquid systems undergoing chemical exchange

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Pages 849-860 | Received 30 Jun 2018, Accepted 11 Oct 2018, Published online: 15 Nov 2018

ABSTRACT

The time evolution of the nuclear magnetisation of chemically exchanging systems in liquids is calculated for the pre-polarised fast field-cycling sequence of nuclear magnetic resonance (NMR) relaxometry. The obtained parameter expressions of the magnetisation allow one to derive the longitudinal relaxation rates and the residence times of the exchanging sites from the experiment. In the particular cases of slow and fast exchange, approximations leading to simple analytic expressions are derived. The theory takes account of the delay time necessary to ensure that the field for acquiring the signal is stable enough after its rapid jump from its relaxation value. The domains of mono-exponential or bi-exponential relaxation of the magnetisation are displayed in a concise way through 3D and 2D logarithmic plots of the population ratio of the exchanging sites and of their intrinsic relaxation times. The influence of the acquisition delay on the fitted values of the populations, residence times, and intrinsic relaxation times of the sites is emphasised in the case of the bi-exponential water proton relaxation observed in a tumour tissue.

GRAPHICAL ABSTRACT

1. Introduction

Fast field-cycling (FFC) techniques [Citation1,Citation2] in both nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) give unique information about the quantum dynamics of spins and spatial motions of molecules in liquids [Citation3–9], in particular of water molecules in the biomedical context [Citation2–5,Citation8–14]. These experiments provide raw NMR relaxation data, that is the time evolution of the longitudinal magnetisation of the water protons across several orders of magnitude of the external magnetic field B0. This time evolution probes the various sites, environments or compartments of the water molecules such as the coordination sites of metal ions and adsorption sites on macromolecules, the intra- or extra-cellular space in biological tissues, the vascular space in living organisms, and the bulk aqueous environment [Citation3–5,Citation8–17]. In the context of MRI contrast agents, and more generally of paramagnetic metal complexes in solution, numerous FFC-NMR experiments were performed to study the Brownian modulation of anisotropic electronic spin Hamiltonians, such as those related to the zero-field splitting (ZFS), the hyperfine coupling, and the g factor [Citation3–6]. Usually, water molecules do not remain confined in a given site, but exchange between adjacent sites. The lifetimes or residence times τsite of a water molecule in its various accessible sites (site = A, B) are fundamental parameters which characterise these sites and their interactions. The lifetimes τsite and the intrinsic NMR relaxation rates R1site of the sites can be determined from NMR relaxation data. In a protein aqueous solution, where water exchanges between protein binding sites and free bulk water sites, the rotational correlation time τR [Citation8,Citation10] of the protein macromolecules can be derived together with the parameters τsite and R1site from nuclear magnetic relaxation dispersions (NMRD), provided that τR is shorter than the lifetime of a water molecule bound to a tumbling protein. The time τR is a key determinant of the aggregation of the proteins, hence of the feasibility and quality of their NMR spectroscopy. The lifetimes τsite can also allow one to distinguish between healthy and diseased tissues. For instance, intracellular water lifetime can be used as a biomarker of tumours and of their aggressiveness [Citation14,Citation16]. More generally, profiles of NMR relaxation rates as a function of the field over several decades are expected to yield completely new biomarkers of diseases, especially in the low and ultra-low field domains [Citation2,Citation11–14,Citation18].

In liquid systems, the influence of chemical exchange between two sites on the evolution of the magnetisation of the nuclei of the exchanging species is a standard problem at a fixed external magnetic field [Citation19–21]. However, in an FFC-NMR or MRI experiment, the external field takes very different values during the evolution of the nuclear magnetisation. Then, the evolution of the magnetisations of the two sites is no longer given by the usual solution of the Bloch–McConnell equations. The aim of this paper is to provide a theoretical framework suitable to extract the lifetimes and intrinsic relaxation rates R1 of the sites at any value of the relaxation field from the ultra-low regime below earth field up to several T.

The article is organised as follows. Section 2 provides the solution of the Bloch–McConnell equations in a form suitable to express the time evolution of the nuclear magnetisation during any FFC sequence. The general expression of the signal, which results from this time evolution and can be observed at the end of the sequence, is derived in Section 3 for the important pre-polarised (PP) sequence. The limiting cases of slow and fast chemical exchange lead to simple analytical expressions of the signal which are detailed in Section 4. Finally, the relaxometric exploration of systems undergoing chemical exchange is discussed in terms of the site populations and intrinsic relaxation rates in Section 5.

2. Convenient expression of the solution of the Bloch–McConnell equations

In a fixed external field B0 along the z-axis, consider nuclear spins I of the same isotope. Through chemical exchange, these spins alternately occupy two different relaxation sites A and B corresponding to different molecular environments. The spins of sites A, B have population fractions pA, pB with pA+pB=1. Their residence times are τA, τB which verify the detailed balance principle τB/τA=pB/pA. Their magnetic susceptibilities are χA=pAχ, χB=pBχ where χ=χA+χB is the total magnetic susceptibility of the spins of the two sites. Their time-dependent magnetisations along the z axis are MAz=pAMz, MBz=pBMz, Mz being the total magnetisation. In the field value Bv, they have equilibrium magnetisations MAveq=χABv, MBveq=χBBv, intrinsic relaxation times T1Av, T1Bv, and intrinsic relaxation rates R1Av=1/T1Av, R1Bv=1/T1Bv. For any property m with values mA, mB at sites A, B, the property column is defined as m~=mAmB. The Bloch–McConnell equations read [Citation19–21] (1) dMAzdt=1T1Av(MAzMAveq)MAzτA+MBzτB,dMBzdt=1T1Bv(MBzMBveq)MBzτB+MAzτA.(1) Introduce the α relaxation parameters (2) αAv=1T1Av+1τA,αBv=1T1Bv+1τB(2) and the relaxation matrix (3) Rv=αAvτB1τA1αBv(3) Using the detailed balance principle, the Bloch–McConnell equations can be rewritten in matrix form in terms of the magnetisation column M~z=MAzMBz and its equilibrium value M~veq=MAveqMBveq as (4) ddtM~z=Rv(M~zM~veq).(4) Introduce the residual magnetisation column m~vz=M~zM~veq. Equation (4) is equivalent to (5) ddtm~vz=Rvm~vz.(5) The eigenvalues of the relaxation matrix Rv are the fast and slow effective relaxation rates Rv+ and Rv, respectively defined as (6) Rv±=12(αAv+αBv)±(αAvαBv)2+4τA1τB1.(6) Introducing the coefficients (7) μv±=(αAvRv±)τB,(7) their difference (8) Dv=μvμv+,(8) and the enhancement factors (9) κv±=1+μv±,(9) the matrix Pv of the eigenvectors associated to Rv+, Rv and its inverse Pv1 are (10) Pv=11μv+μvandPv1=1Dvμv1μv+1,(10) where Dv is the determinant of Pv. The matrix Rv can be rewritten as (11) Rv=PvRv+00RvPv1.(11)

At the initial time ti, assume that the magnetisation column m~zv is m~zv(ti)=mAzv(ti)mBzv(ti). The general solution of Equation (5) at time tti is (12) m~zv(t)=eRv(tti)m~zv(ti),(12) where the exponential relaxation matrix eRvu can be expressed as (13) eRvu=PveRv+u00eRvuPv1.(13) Replacing Pv and Pv1 by their expressions of Equation (10), Equation (13) can be rewritten as (14) eRvu=eRv+uΛv++eRvuΛv(14) with (15) Λv+=1Dvμv1μv+μvμv+,Λv=1Dvμv+1μvμv+μv.(15) Note that the matrix-column product of Λv± by a column m~=mAmB is given by (16) Λv±m~=cv±[m~]1μv±,(16) where the auxiliary linear functions cv± take scalar values and are defined as (17) cv±[m~]=cv±mAmB=1Dv(±μvmAmB).(17) Then, the solution of Equations (1) or (4) is the image of the initial magnetisation column M~z(ti) by the evolution operator Ev(tti) defined as the affine transformation (18) M~z(t)=Ev(tti)M~z(ti)=χ~Bv+eRv(tti)[M~z(ti)χ~Bv],(18) with χ~=χAχB and eRv(tti) given by Equations (14)–(17).

3. Time evolution of the nuclear magnetisation during the pre-polarised sequence and observed signal

The PP sequence [Citation1] is a typical FFC sequence of successive different field values which is sketched in Figure . The PP sequence allows one to explore the evolution of the nuclear magnetisation at low field and to derive the intrinsic relaxation rates of the studied nuclei and their lifetimes in their different sites.

Figure 1. Basic cycle of the magnetic field Bv(t) (continuous line) in a pre-polarised (PP) sequence. The field Bv successively takes the polarisation value Bp for a polarisation time tp, the relaxation value Br for an evolution time τ, the signal acquisition value Ba for an acquisition time ta, and the zero value for a repetition delay taken to be equal to tp. The nuclear magnetisation Mz(t) (dotted line) in arbitrary units tends to its instantaneous equilibrium value χBv(t) so that it evolves as the field Bv(t) with some delay. The time origin is conveniently taken to be at the start of the evolution period τ.

Figure 1. Basic cycle of the magnetic field Bv(t) (continuous line) in a pre-polarised (PP) sequence. The field Bv successively takes the polarisation value Bp for a polarisation time tp, the relaxation value Br for an evolution time τ, the signal acquisition value Ba for an acquisition time ta, and the zero value for a repetition delay taken to be equal to tp. The nuclear magnetisation Mz(t) (dotted line) in arbitrary units tends to its instantaneous equilibrium value χBv(t) so that it evolves as the field Bv(t) with some delay. The time origin is conveniently taken to be at the start of the evolution period τ.

Turn to the description of the PP sequence and to the related theoretical expression of the evolution of the magnetisation column during this sequence. The applied magnetic field Bv successively takes the polarisation value Bp, typically between 0.2 and 1 T, for a fixed polarisation duration tp, the relaxation value Br during the variable evolution time τ, and the acquisition value Ba during the fixed acquisition time ta taken to be somewhat longer than the delay s required to ensure field stability. Since relaxation at field Br is investigated by varying τ, the time origin is taken to be the start of the evolution period. The magnetisation column M~z at time τ+s is calculated by successive applications of the operators Ep(tp), Er(τ), and Ea(s). It reads (19) M~z(τ+s)MAz(τ+s)MBz(τ+s)=Ea(s)Er(τ)Ep(tp)M~z(ti=tp).(19) The observed signal is the free induction decay (FID) obtained by applying a 90° pulse at the stabilised acquisition field Ba after the acquisition delay s. It is proportional to the total longitudinal magnetisation Mz(τ+s)=MAz(τ+s)+MBz(τ+s). Finally, after recording the FID, the applied magnetic field Bv is switched off to zero during a fixed repetition delay td of the order of the polarisation duration tp before repetition (cycling) of the sequence. The repetition delay is chosen so that the magnetisations of both sites are zero before the start of a new cycle. In Figure , note that the field Bv displays sudden jumps at times ti=tp, ti+tp=0, ti+tp+τ=τ, and after the acquisition of the FID, though field ramps occur in practice. The magnetisations MAz(t), MBz(t) remain constant across these ideal field jumps.

Assume that the polarisation period tp is longer than 4max(T1Ap,T1Bp), where T1Ap, T1Bp are the intrinsic relaxation times in the polarisation field Bp. Then, the magnetisation column M~z reaches its equilibrium value M~peq=χ~Bp at the end of the polarisation period so that M~z(0)=Ep(tp)M~z(ti=tp)=M~peq. Replacing Ea(s) and Er(τ) by their affine expressions in Equation (18) and setting (20) m~zr(0)=mAzr(0)mBzr(0)m~zr0=mAzr0mBzr0=M~z(0)χ~Br=MAz(0)χABrMBz(0)χBBr,(20) Equation (19) simplifies to (21) M~z(τ+s)=Ea(s)Er(τ)M~z(0)=Ea(s){χ~Br+eRrτ[M~z(0)χ~Br]}=χ~Ba+eRasχ~(BrBa)+eRaseRrτm~rz(0)(21) Replacing eRas and eRrτ by their expressions in Equation (14) with Λv± (v=r,s) given by Equations (16) and (17), M~z(τ+s) can be rewritten as (22) M~z(τ+s)MAz(τ+s)MBz(τ+s)=C~0(s)+eRr+τC~+(s)+eRrτC~(s)(22) where the columns C~0(s), C~±(s) are defined as (23) C~0(s)=χ~Ba+eRa+s1Da(μaχAχB)1μa++eRas1Da(μa+χA+χB)1μa(BrBa)C~±(s)=cr±[m~zr(0)]eRa+s1Da(μaμr±)1μa++eRas1Da(μa++μr±)1μa(23) with (24) cr+[m~zr(0)]=1Dr(μrmAzr(0)mBzr(0)),cr[m~zr(0)]=1Dr(μr+mAzr(0)+mBzr(0)),(24) and mAzr(0)=MAz(0)χABr, mBzr(0)=MBz(0)χBBr.

The NMR signal is proportional to (25) Mz(τ+s)=MAz(τ+s)+MBz(τ+s)=w0(s)+w+(s)eRr+τ+w(s)eRrτ,(25) where the coefficients w0(s), w±(s) are defined as (26) w0(s)=χBa+eRa+sκa+Da(μaχAχB)+eRasκaDa(μa+χA+χB)(BrBa)w±(s)=cr±[m~zr(0)]eRa+sκa+Da(μaμr±)+eRasκaDa(μa++μr±),(26) with κa± defined by Equation (9) and cr±[m~zr(0)] given by Equation (24).

Turn to the limiting case s=0. According to Equations (22) and (23), the column magnetisation becomes (27) M~z(τ)MzA(τ)MzB(τ)=C~0(0)+eRr+τC~+(0)+eRrτC~(0),(27) with the columns (28) C~0(0)=χ~Br,C~±(0)=cr±[m~zr(0)]1μr±.(28) Then, the NMR signal is proportional to (29) Mz(τ)=w0(0)+w+(0)eRr+τ+w(0)eRrτ,(29) with the coefficients (30) w0(0)=χBr,w+(0)=κr+Dr[μrmAzr(0)mBzr(0)],w(0)=κrDr[μr+mAzr(0)+mBzr(0)].(30) The expressions of the coefficients w±(0) can be simplified. Introducing the discriminant Δ¯r=(R1BrR1Ar+τB1τA1)2+4τA1τB1, the coefficients w±(0) in Equation (30) can be rewritten as rational fractions in Δ¯r. Replacing Δ¯r2 by its expression in terms of R1Ar, R1Br, τA1, τB1 and using the equality (pAτB)1=(pBτA)1=τA1+τB1, w±(0) simplify to (31) w±(0)=(Mz(0)χBr)12×1(12pB)(R1BrR1Ar)+τA1+τB1Δ¯r,(31) with τA1=τB1pB/(1pB). Following Ruggiero et al. [Citation14], consider the evolution of the magnetisation of the hydrogen nuclei of water exchanging between intra- (in) and extra- (ex) cellular compartments for the saturation recovery sequence. Setting in=A, ex=B, vin=pA, vex=pB, according to Equations (1) and (4) of the Supporting Information of Ref. [Citation14], the coefficients of the decreasing exponentials eRr+τ and eRrτ with the shorter (S) and longer (L) apparent relaxation times are (32) aS=121(12pB)(R1BrR1Ar)+τA1+τB1Δ¯r,(32) and aL=1aS, respectively. From Equation (31), w+(0)=(Mz(0)χBr)aS and w(0)=(Mz(0)χBr)×aL are respectively proportional to aS and aL with the same proportionality factor Mz(0)χBr. Thus, the changes of Mz(τ) with time of the PP sequence and saturation recovery sequence are just proportional at any evolution time τ. For immediate acquisition s=0, the difference between the two sequences is the dynamic range of Mz(τ) which decreases from Mz(0) to χBr for the PP sequence and increases from 0 to χBr for the saturation recovery or non-polarised (NP) [Citation1] sequence. Since the magnetisation Mz(τ) is proportional to an NMR experimental signal, which is defined up to an arbitrary multiplicative factor, Mz(0) and χBr should be considered as additional independent fit parameters when fitting the model of Mz(τ) of Equations (29) and (30) to experimental data, unless there is a relationship between χBr and Mz(0) due to the experimental conditions.

4. Particular cases

Following McLaughlin and Leigh [Citation20], slow and fast exchange situations can be defined by comparing the effective exchange rate 1/τAB, the so-called ‘shutter-speed’ [Citation16], and the relaxation rate difference Δv defined as (33) 1τAB=1τA+1τBandΔv=1T1Av1T1Bv.(33) The slow and fast exchange situations are defined by the inequalities 1/τAB<<|Δv| and |Δv|<<1/τAB, respectively. They depend on the field value Bv because the intrinsic relaxation rates 1/T1Av, 1/T1Bv vary with the field.

4.1. Immediate acquisition s=0

4.1.1. Slow exchange limit in the relaxation field Br: 1/τAB<<|Δr|

For Δr>0, the fast and slow effective relaxation rates are (34) Rr+=αAr=1T1Ar+1τA,Rr=αBr=1T1Br+1τB.(34) According to Equations (7) and (34), we have μr+0, μrΔrτB+τB/τA1. The slow exchange condition leads to |τB/τA1|<<|Δr|τB so that μrΔrτB and Dr=μrμr+ΔrτB. Since Δr=|Δr|, according to Equation (24), we have (35) cr+[m~zr(0)]=mAzr(0)mBzr(0)|Δr|τB,cr[m~zr(0)]=mBzr(0)|Δr|τB.(35) Consequently, from Equations (27), (28), and (34), the magnetisations of sites A and B are (36) MAz(τ)=χABr+mAzr(0)mBzr(0)|Δr|τBeαArτ+mBzr(0)|Δr|τBeαBrτMBz(τ)=χBBr+mBzr(0)eαBrτ.(36) Dropping all the terms with the factors 1/(|Δr|τB), these magnetisations reduce to (37) MAz(τ)=χABr+mAzr(0)eαArτ,MBz(τ)=χBBr+mBzr(0)eαBrτ(37) Since 1<<|Δr|τB, the total magnetisation derived from Equation (36) is (38) Mz(τ)=MAz(τ)+MBz(τ)=χBr+mAzr(0)mBzr(0)|Δr|τBeαArτ+mBzr(0)eαBrτ.(38) Except if |mAzr(0)|<<|mBzr(0)|, for instance, when pA<<pB, Mz(τ) reduces to the symmetric expression (39) Mz(τ)=χBr+mAzr(0)eαArτ+mBzr(0)eαBrτ.(39) When Δr<0, the values of cr±[m~rz(0)], MAz(τ), MBz(τ), and Mz(τ) are obtained by permutation of the roles of A and B. Note that under the additional conditions 1/τA<<1/T1Ar and 1/τB<<1/T1Br, the total magnetisation evolves as the sum of the magnetisations of sites without exchange.

4.1.2. Fast exchange limit in the relaxation field Br: |Δr|<<1/τAB

The fast exchange condition leads to the inequality ΔrτB<<1/pA. Setting (40) 1T1r=121T1Ar+1T1Br,(40) the effective relaxation rates are (41) Rr+=1τA+1τB+1T1r+Δr2(pBpA),Rr=pAT1Ar+pBT1Br.(41) Then, we have αARr=ΔrpB+1/τA, μr=ΔrpBτB+pB/pApB/pA, αARr+=ΔrpA1/τB, μr+=ΔrpAτB11, and DrpB/pA+1=1/pA. From Equation (28), we get (42) C~0(0)=χ~Br,C~+(0)=[pBmAzr(0)pAmBzr(0)]11,C~(0)=[mAzr(0)+mBzr(0)]pApB,(42) so that the site magnetisations are (43) MAz(τ)=χABr+[pBmAzr(0)pAmBzr(0)]eRr+τ+[mAzr(0)+mBzr(0)]pAeRrτ,MBz(τ)=χBBr[pBmAzr(0)pAmBzr(0)]eRr+τ+[mAzr(0)+mBzr(0)]pBeRrτ,(43) and the total magnetisation is (44) Mz(τ)=χBr+[mAzr(0)+mBzr(0)]eRrτ.(44) The total magnetisation decays with the slow effective relaxation rate Rr given by Equation (41).

4.1.3. Site of scarce nuclei with high intrinsic relaxation rate

Assume that the population of site B is scarce, i.e. pB<<1 and pA1, with a high relaxation rate 1/T1Br>>1/T1Ar. For instance, the situation occurs in liquid solutions when A corresponds to the solvent molecules in the bulk and B to solvent molecules bound to paramagnetic species or slowly rotating macromolecules. Then, as 1/τA<<1/τB, we have αA<<αB. Then, the effective relaxation rates are (45) Rr+αBr,Rr1T1Ar+pBpA1T1Br+τB.(45) The parameters defining the change-of-basis matrices Pr and Pr1 from Equation (10) with v=r are μrpBpAT1BrT1Br+τB<<1, μr+1τBT1Br, Dr=μr+1+τBT1Br. By neglecting terms in pB/pA=τB/τA and mBr(0)/mAr(0), from Equations (27) and (28), the site magnetisations can be approximated as (46) MAz(τ)=χABr+mAzr(0)eRrτ,MBz(τ)=0,(46) so that the total magnetisation is (47) Mz(τ)MAz(τ)χBr+mzr(0)eRrτ,(47)

The Mz(τ) evolution of Equation (47) with Rr given by Equation (45) overlaps the time decays obtained above in the slow and fast exchange limits. Indeed, in the slow exchange case T1Br<<τB, Rr in Equation (45) reduces to Rr1/T1Ar+(pB/pA)/τB=1/T1Ar+1/τA=αAr, so that Mz(τ) obeys Equation (39) with negligible site B magnetisation. In the fast exchange limit τB<<T1Br, Rr in Equation (45) takes the form Rr1/T1Ar+(pB/pA)/T1BrpA/T1Ar+pB/T1Br of Equation (41).

4.2. Delayed acquisition s>0

4.2.1. Slow exchange limits in the relaxation and acquisition fields Br and Ba: 1/τAB<<min(|Δr|,|Δa|)

Assume that the slow exchange condition 1/τAB<<|Δa| also holds in the acquisition field Ba though the intrinsic relaxation rates are expected to have values lower than those in the relaxation field Br<Ba since relaxation rates usually decrease as field increases. For Δa>0, as for the relaxation field Br, we have Ra+=αAa, Ra=αBa, μa+0, μaΔaτB, and Da=μaμa+ΔaτB. Then, dropping all the terms in factors of 1/(|Δr|τB) or 1/(|Δa|τB), the columns C~0(s), C~±(s) defined by Equations (23) and (24) reduce to (48) C~0(s)=χAχBBa+eαAasχAeαBasχB(BrBa),C~+(s)=mAzr(0)eαAas0,C~(s)=mBzr(0)0eαBas.(48) According to Equation (22), we have (49) MAz(τ+s)=χA[Ba+eαAas(BrBa)]+mAzr(0)eαAaseαArτ,MBz(τ+s)=χB[Ba+eαBas(BrBa)]+mBzr(0)eαBaseαBrτ,(49) and the total magnetisation reads (50) Mz(τ+s)=χBa+(χAeαAas+χBeαBas)(BrBa)+mAzr(0)eαAaseαArτ+mBzr(0)eαBaseαBrτ.(50)

4.2.2. Slow exchange limit in the relaxation field Br and fast exchange limit in the acquisition field Ba: |Δa|<<1/τAB<<|Δr|

This situation may occur since relaxation rates usually decrease as field increases so that |Δa|,which is expected to be smaller than |Δr|, can become much smaller than 1/τAB. For Δr>0, as in Section 4.1.1, we have μr+0, μrΔrτB and Dr=μrμr+ΔrτB. As for the fast exchange limit in the relaxation field Br studied in Section 4.1.2, setting 1/T1a=(1/T1Aa+1/T1Ba)/2, the effective relaxation rates are Ra+=1/τA+1/τB+1/T1a+(Δa/2)(pBpA), RapA/T1A+pB/T1B, so that we have μapB/pA, μa+1, Da1/pA. Then, neglecting the terms with the factors 1/(|Δr|τB), the total magnetisation is given by (51) Mz(τ+s)=χBa+eRasχ(BrBa)+eRas[mAzr(0)eαArτ+mBzr(0)eαBrτ].(51)

4.2.3. Fast exchange limits in the relaxation and acquisition fields Br and Ba: max(|Δr|,|Δa|)<<1/τAB

Since relaxation rates usually decrease as field increases, it is expected that the condition of fast exchange at field Br implies the analogous condition |Δa|=|1/T1Aa1/T1Ba|<<1/τAB of fast exchange at field Ba>Br. As for the fast exchange limit in the relaxation field Br studied in Section 4.1.2, setting 1/T1a=(1/T1Aa+1/T1Ba)/2, the effective relaxation rates are Ra+=1/τA+1/τB+1/T1a+(Δa/2)(pBpA), RapA/T1A+pB/T1B, so that we have μapB/pA, μa+1, Da1/pA. The columns C~0(s), C~±(s) are readily obtained from Equations (23) and (24). Using Equation (22), they yield the site magnetisations (52) MAz(τ+s)=χABa+[(pBχApAχB)eRa+s+χAeRas](BrBa)+[pBmAzr(0)pAmBzr(0)]eRa+seRr+τ+pA[mAzr(0)+mBzr(0)]eRaseRrτ,MBz(τ+s)=χBBa+[(pBχApAχB)eRa+s+χBeRas](BrBa)[pBmAzr(0)pAmBzr(0)]eRa+seRr+τ+pB[mAzr(0)+mBzr(0)]eRaseRrτ,(52) and the total magnetisation (53) Mz(τ+s)=χBa+χeRas(BrBa)+[mAzr(0)+mBzr(0)]eRaseRrτ.(53)

4.2.4. Site of scarce nuclei with high intrinsic relaxation rates in the relaxation and acquisition fields Br and Ba

Under the same conditions as in Section 4.1.3 and the hypothesis 1/T1Aa<<1/T1Ba, the site magnetisations can be approximated as (54) MAz(τ+s)=χABa+eRasχA(BrBa)+mAzr(0)eRaseRrτ,MBz(τ+s)=0,(54) so that the total magnetisation is (55) Mz(τ+s)MAz(τ+s)χBa+eRasχ(BrBa)+mzr(0)eRaseRrτ.(55) The Mz(τ) evolution of Equation (55) overlaps time decays obtained in the slow and fast exchange limits. For slow exchange in both fields Br and Ba, Equation (55) becomes Equation (50) where the site B magnetisation terms in mBzr(0) and χB are neglected. For fast exchange in both fields Br and Ba, Equation (55) is identical to Equation (53).

As a rule, in the various cases of slow exchange in the fields Br and/or Ba, when either the intrinsic relaxation rate or the exchange rate is dominant for a given site, note that the α parameter giving the evolution of the site magnetisation is practically equal to the dominant term.

Finally, our formalism using the general evolution operator of the magnetisations of the exchanging sites can be easily applied to any FFC sequence.

5. Relaxometric exploration of systems

Information, that can be deduced from NMR relaxometry, depends on the values of τA, τB, T1Av, T1Bv. Here, consider typical values of relaxation and residence times in biological systems. The residence time τi of an intracellular water molecule is known to vary between 0.01 s for red blood cells to 100 s for xenopus ovocytes [Citation16]. These residence times should be compared with typical intrinsic relaxation times [Citation14]. Whatever the field, the T1 value is rather long, of the order of 1 s, in the extracellular medium, but can be considerably reduced by inclusion of paramagnetic contrast agents [Citation3–5,Citation11,Citation21]. On the other hand, T1 drops from 1 s to 30 ms when the field decreases from 0.25 T to 0.2 mT in mouse leg tissues. It should be emphasised that the detailed balance principle implies a decrease of the residence time τe of an extracellular water molecule with the volume fraction of the extracellular space, so that τe may become an order of magnitude shorter than τi. Thus, the values of τA, τB, T1Av, T1Bv range between a few milliseconds and a few seconds. They can be easily studied with standard NMR spectrometers, the pulse sequences of which make it possible to analyse the evolution of the nuclear magnetisation over times less than 0.1 ms.

The FFC-NMR investigation of dynamical processes of characteristic times between 1 ms and 1 s becomes problematic when the acquisition delay s is not negligible with respect to the values of τA, τB, T1Ar, T1Br, T1Aa, T1Ba. In practice, this delay incorporates the duration of the field ramp from Br to Ba and the time required to ensure the Ba stability. It is only of a few milliseconds on a Stelar FFC relaxometer [Citation1], but can reach a few tens of milliseconds on an MRI scanner [Citation2].

The natural time unit τu of systems of nuclei undergoing chemical exchange is the shutter time τAB, or better (56) τu=2τAB,(56) which reduces to the common residence time τA=τB when the sites A and B have equal populations of nuclei. Therefore, the times τA, τB, T1Ar, T1Br, T1Aa, T1Ba will be expressed in τu units hereafter.

It is necessary to sample the total longitudinal magnetisation Mz(τ) in the relaxation field Br at both short and long τ values in order to determine Rr+ and Rr, respectively. The application of a 90° pulse to measure Mz(τ) is only feasible from the moment when the acquisition field Ba is stable, that is at the end of a delay s>0 after the fast jump of the field value Bv from Br to a value near the acquisition value Ba which is reached by the rapid change of the current through the magnet coil. Then, the observed signal is proportional to Mz(τ+s) rather than Mz(τ), where Mz(τ+s) is given by Equations (25) and (26), which can be used in the general case to derive the lifetimes and intrinsic relaxation rates of the sites at the relaxation field Br. According to these equations, this derivation is only possible for a short delay s such as Ra±s is not significantly larger than unity. Otherwise, the signal vanishes and the relaxation information is lost. In particular, a bi-exponential decrease of the magnetisation can be reduced to an apparent mono-exponential decay if only one of the two factors w+(s) or w(s) keeps a significant value.

Practically, the magnetisation decay with time τ can be fitted either by a single decreasing exponential or by a linear combination of two such exponentials corresponding in principle to the most general case of Equation (25). However, as shown below, the possibility of observing a bi-exponential decay occurs only in special cases because either exchange tends to lead to effective mono-exponential behaviour or the population of one site is largely dominant. A physico-chemical knowledge of the system of exchanging nuclei must be invoked to decide between these two cases. The Mz general expressions of Equations (25), (29), or its limiting expressions of Equations (39), (50), (51) should be used for bi-exponential decay. Simplified mono-exponential expressions, such as those of Section 4, can be used for mono-exponential relaxation.

Quite generally, bi-exponential relaxation is observable if the ratio w+/w derived from Equation (26) is neither too small nor too large, typically in the range (57) 0.1w+/w10.(57) Moreover, the effective relaxation rates Rr+ and Rr given by Equation (6) with v=r should differ significantly in order to be distinguishable from experimental data. This is all the more the case with increasing inaccuracy in the measurements and decreasing number of relaxation periods τ. Typically, the ratio Rr+/Rr1 should satisfy the inequality (58) Rr+/Rr2.(58) Assume that the relaxation field has a fixed value Br. We will investigate the domain of the parameters τA, τB, T1Ar, T1Br for which the total magnetisation has a bi-exponential decay. Introduce the population ratio (59) q=pBpA=χBχA=τBτA.(59) In what follows, the optimal ideal situation of immediate acquisition s=0 is considered first. The influence of delayed acquisition s>0 is investigated later.

The domain of bi-exponential decay can be characterised by the only three independent dimensionless parameters q, T1Ar/τu, T1Br/τu forming a three-dimensional space. In this space, the boundary surfaces of the bi-exponential domain, i.e. w+/w=0.1 (grey boundary) and 10 (blue boundary) with s=0, are shown in Figure as a function of the decimal logarithms of the three parameters. The domain is formed by two zones Z1 and Z2 between the grey and blue surfaces. More precise information is given in Figure where plane sections of Figure are displayed for different typical fixed q values. Within each of these plane sections, the frontiers of the dotted area are the traces of the above boundary surfaces corresponding to the conditions of Equation (57). Besides, the contours w+/w=q and 1/q appear as black and blue curves, respectively. They show that w+/w ranges between q and 1/q. They should be considered as matching the logT1Ar and logT1Br axes when they are parallel and close to these axes. The areas corresponding to the ratio Rr+/Rr in the intervals [1,2], [2,4], [4,12], [12,20], [20, ] are coloured in white, green, yellow, orange and red, respectively.

Figure 2. Bi-exponential relaxation domain, 0.1w+/w10, in the space of logarithmic co-ordinates logq with q=pB/pA, log(T1Ar/τu), log(T1Br/τu) for immediate signal acquisition s=0. This domain is defined by its boundaries w+/w=0.1 (grey contour) and w+/w=10 (blue contour). The surface contours Rr+/Rr=3 (green surface) and Rr+/Rr=20 (red surface) are also displayed (Colour online, B/W in print).

Figure 2. Bi-exponential relaxation domain, 0.1≤w+/w−≤10, in the space of logarithmic co-ordinates log⁡q with q=pB/pA, log⁡(T1Ar/τu), log⁡(T1Br/τu) for immediate signal acquisition s=0. This domain is defined by its boundaries w+/w−=0.1 (grey contour) and w+/w−=10 (blue contour). The surface contours Rr+/Rr−=3 (green surface) and Rr+/Rr−=20 (red surface) are also displayed (Colour online, B/W in print).

Figure 3. Bi-exponential relaxation areas, 0.1w+/w10, (dotted zones) in the space of logarithmic co-ordinates log(T1Ar/τu), log(T1Br/τu) for immediate signal acquisition s=0 and for the values 1, 0.2, 5, 0.01, 100 of the population ratio q=pB/pA=τB/τA. In the white zone corresponding to Rr+/Rr < 2, observation of bi-exponential relaxation is difficult because of the proximity of Rr+ and Rr. Several intervals of the ratio Rr+/Rr (coloured zones) are also displayed. For each q value, the point of co-ordinates log(τA/τu), log(τB/τu) is represented by a black circle (Colour online, B/W in print).

Figure 3. Bi-exponential relaxation areas, 0.1≤w+/w−≤10, (dotted zones) in the space of logarithmic co-ordinates log⁡(T1Ar/τu), log⁡(T1Br/τu) for immediate signal acquisition s=0 and for the values 1, 0.2, 5, 0.01, 100 of the population ratio q=pB/pA=τB/τA. In the white zone corresponding to Rr+/Rr− < 2, observation of bi-exponential relaxation is difficult because of the proximity of Rr+ and Rr−. Several intervals of the ratio Rr+/Rr− (coloured zones) are also displayed. For each q value, the point of co-ordinates log⁡(τA/τu), log⁡(τB/τu) is represented by a black circle (Colour online, B/W in print).

For q=1, the bi-exponential behaviour occurs in two zones symmetric with respect to the principal diagonal with 0.1w+/w10, but not in the fast exchange area and in a narrow band around T1BrT1Ar.

For q=0.2, there are two zones of observable bi-exponential relaxation: a dotted band parallel to the logT1Ar axis corresponding to T1Br<T1Ar with 0.1w+/wq=0.2 and a dotted band parallel to the logT1Br axis corresponding to T1Br>T1Ar on the left side of the black curve with 0.1w+/w1/q=5.

For q=5, the figure is symmetric to the case q=0.2 with respect to the principal diagonal logT1Ar=logT1Br. The two zones of observable bi-exponential relaxation are a dotted band parallel to the logT1Ar axis corresponding to T1Br<T1Ar with 0.1w+/wq=5 and a dotted band parallel to the logT1Br axis corresponding to T1Br>T1Ar below the blue curve with 0.1w+/w1/q=0.2.

For q=0.01, there is no intersection between the dotted and the coloured zones Rr+/Rr2 indicating the absence of observable bi-exponential relaxation.

For q=100, the figure is symmetric to the case q=0.01 with respect to the principal diagonal logT1A=logT1B. There is no intersection between the dotted and coloured zones indicating the absence of observable bi-exponential relaxation.

Turn to an instrument with an acquisition delay s>0. For an FFC-MRI scanner with s=20–30 ms, consider residence times τA, τB of the order of 100–200 ms. Then, a typical acquisition delay is s/τu=0.2. A delay time s>0 leads to an attenuation of the observed signal. Besides this attenuation, the mono or bi-exponential decay of the total magnetisation leads to different qualitative changes. For the cases 4.2.3 and 4.2.4 of mono-exponential decay described by Equations (53) and (55), the attenuation is simply given by the factor eRas so that the inequality Ras1 should hold to keep a reasonable signal to noise ratio. The situation is similar for the limiting case 4.2.2 of fast exchange in field Ba and biexponential decay described by Equation (51). By contrast, for the limiting case 4.2.1 of slow exchange in field Ba and bi-exponential decay described by Equation (50), the relative weights of the two exponentials are differently affected. If R1Aas>1 or R1Bas>1, the bi-exponential behaviour may reduce to a mono-exponential decay.

The loss of information brought by the delay time s>0 is illustrated in Figure for q=1, 0.2, and 5, where the dotted areas correspond to the condition of bi-exponential decay of Equation (57). Comparing Figure (a–c) with the analogous Figure (a–c) relative to s=0, the areas corresponding to an observable bi-exponential decay of Mz are considerably reduced. For instance, for q=1, the two symmetric large dotted zones of bi-exponential decay shrink to two symmetrical narrow areas. Moreover, the dotted band parallel to the logT1Ar axis corresponding to T1Br<T1Ar and the dotted band parallel to the logT1Br axis corresponding to T1Br>T1Ar have disappeared for q = 0.2 and 5, respectively.

Figure 4. Bi-exponential relaxation areas, 0.1w+/w10, (dotted zones) in the space of logarithmic co-ordinates log(T1Ar/τu), log(T1Br/τu) for delayed signal acquisition s/τu>0 and for the values 1, 0.2, 5 of the population ratio q=pB/pA=τB/τA. The white and coloured areas corresponding to value intervals of Rr+/Rr are defined as in Figure . For each q value, the point of co-ordinateslog(τA/τu), log(τB/τu) is represented by a black circle (Colour online, B/W in print).

Figure 4. Bi-exponential relaxation areas, 0.1≤w+/w−≤10, (dotted zones) in the space of logarithmic co-ordinates log⁡(T1Ar/τu), log⁡(T1Br/τu) for delayed signal acquisition s/τu>0 and for the values 1, 0.2, 5 of the population ratio q=pB/pA=τB/τA. The white and coloured areas corresponding to value intervals of Rr+/Rr− are defined as in Figure 3. For each q value, the point of co-ordinateslog⁡(τA/τu), log⁡(τB/τu) is represented by a black circle (Colour online, B/W in print).

According to extensive previous studies [Citation15], the bi-exponential situation described by the present formalism is likely to occur frequently in biological tissues because the extra- and intra-cellular water molecules have comparable populations. For instance, the extra-cellular/intra-cellular water ratio q is about 1 for blood and brain white matter. In many tissues, it ranges from 0.1 (muscle) to 20 (tumour rim). Moreover, by adding MRI contrast agents at various concentrations into cell suspensions [Citation14,Citation17], the intrinsic relaxation rate of the water protons of the extracellular medium can be significantly increased, making it possible to extract the intrinsic intracellular relaxation rate and the water residence lifetimes in both intra- and extra-cellular compartments by applying the present theory if the acquisition delay is short enough.

The influence of the acquisition delay on the best fit values of residence times and intrinsic relaxation times is illustrated now by simulating a very-low-field FFC-MRI investigation of a tumour tissue of a mouse leg [Citation14]. Indeed, prototypes of FFC-MRI scanners and FFC-NMR relaxometers operating down to 2 μ T are under development within the framework of the European project IDentIFY. In a tissue, at a given relaxation field Br, a water molecule basically goes back and forth between the intracellular (A=in) space with intrinsic longitudinal time T1in,r during a residence time τin and the extracellular (B=ex) space with intrinsic longitudinal time T1ex,r during a residence time τex. The population fractions are assumed to be pex=0.2 and pin=0.8 since pex, denoted as Vex in Ref. [Citation14], ranges between 0.14 and 0.30. Since the intracellular lifetime τin ranges between 0.48 and 1.44 s, we assume τin = 800 ms and τex=(pex/pin)τin = 200 ms. Below 0.2 mT, according to Figure of Ref. [Citation14] and to Fig. S2 of the related Supporting Information, T1in,r and T1ex,r are expected to be of the order of a few tens and a few hundreds of ms, respectively. For simulation purpose, at Br = 10 μ T, we take extrapolated values T1in,r = 20 ms and T1ex,r = 400 ms. The initial proton magnetisation is assumed to have the equilibrium value in the polarisation field Bp = 100 mT. The acquisition field is Ba = 60 mT, in which the estimates of the intrinsic relaxation times are T1in,a = 150 ms and T1ex,a = 2000 ms. Finally, the acquisition delay has a typical value s = 20 ms as in an MRI scanner built by Lurie et al. [Citation2,Citation7–9]. Thus, s is not negligible with respect to both T1in,a and τex.

Applying the PP sequence of Figure , the evolution of the total magnetisation Mz of the water protons is simulated for the above input parameter values according to Equation (25) which accounts for the acquisition delay. The simulated magnetisation values shown by dots in Figure were obtained for 24 exponentially spaced values of the evolution period τ, ranging between 2 and 700 ms. As in a real experiment, each Mz value is affected by a random error assumed to be here of ±1%. Then, the best fit independent parameters pexfit, τexfit, T1in,rfit, T1ex,rfit entering the magnetisation Mz(τ+s) in Equation (25) are expected to deviate from the ‘true’ input values pex = 0.2, τex = 200 ms, T1in,r = 20 ms, T1ex,r = 400 ms. Even for the present small simulated ‘experimental’ uncertainties and despite the excellent agreement between the continuous fitted function Mz(τ+s) and the simulated data shown in Figure , several best-fit parameters pexfit = 0.235, τexfit, T1in,rfit = 19.8 ms, T1ex,rfit = 146 ms are significantly different from the input values. In particular, the best-fit residence times have very large values so that there is practically no water exchange. Now, following Ruggiero et al. [Citation14], assume that the extracellular medium is similar to Matrigel and has the known value T1ex,rfit = 400 ms obtained in Matrigel from independent FFC-NMR measurements. Under these conditions, we obtain pexfit = 0.195 ± 0.01, τexfit = 209 ± 18 ms, T1in,rfit = 20.3 ± 0.4 ms in very good agreement with the input values and still an excellent agreement between the continuous fitted function Mz(τ+s) and the simulated data as shown in Figure . Note that the simulated data cannot be reproduced by the mono-exponential fit represented by the dashed curve in Figure .

Figure 5. Typical bi-exponential time decay of the water proton magnetisation of a tumour tissue of a mouse leg at body temperature in the relaxation field Br = 10 μ T of an FFC-MRI scanner. Water molecule basically goes back and forth between the intracellular space and the extracellular space. The discrete dots are the simulated data corresponding to Mz(τ+s) in Equation (25) with realistic exchange and relaxation input parameters (see text) for an acquisition delay s = 20 ms with random magnetisation errors of ±1%. The superimposed continuous curves are the excellent fits of Mz(τ+s) to the previous simulated data (see text). The dashed curve is the unsuccessful mono-exponential relaxation function fitted to the simulated data. The dotted curve is the poor fit of Mz(τ) (s=0) in Equation (29) to the simulated data.

Figure 5. Typical bi-exponential time decay of the water proton magnetisation of a tumour tissue of a mouse leg at body temperature in the relaxation field Br = 10 μ T of an FFC-MRI scanner. Water molecule basically goes back and forth between the intracellular space and the extracellular space. The discrete dots are the simulated data corresponding to Mz(τ+s) in Equation (25) with realistic exchange and relaxation input parameters (see text) for an acquisition delay s = 20 ms with random magnetisation errors of ±1%. The superimposed continuous curves are the excellent fits of Mz(τ+s) to the previous simulated data (see text). The dashed curve is the unsuccessful mono-exponential relaxation function fitted to the simulated data. The dotted curve is the poor fit of Mz(τ) (s=0) in Equation (29) to the simulated data.

Turn to the influence of the acquisition delay on the best-fit parameters. Here, the simulated data are still those which were previously obtained by using the magnetisation Mz(τ+s) of Equation (25) with acquisition delay s = 20 ms, but the fitted function is the magnetisation Mz(τ) of Equation (29) with immediate acquisition s = 0. Setting T1ex,rfit = 400 ms, the best-fit parameters pexfit = 0.242, τexfit = 1650 ms, T1in,rfit = 19 ms are in strong disagreement with the input values and lead to a fitted function Mz(τ), represented in Figure by a dotted curve which also strongly departs from the simulated data. For s = 0, even if the amplitude of Mz(τ) is considered as an additional adjustable parameter through an additive term c0, the fit agreement is not improved. This simple example shows that the influence of the acquisition delay on the best-fit parameters of the magnetisation expressions should be carefully examined in systems with bi-exponential decay as soon as it somewhat affects the observed magnetisation.

Finally, recent theoretical developments in the analysis of multi-exponential relaxation data [Citation22] should facilitate the precise determination of the physico-chemical parameters involved in systems of nuclear spins undergoing chemical exchange.

6. Conclusion

We have presented a general formalism for describing the evolution of the magnetisations of populations of nuclei exchanging between two sites after an FFC sequence. In the case of the PP sequence, we have derived general expressions of the magnetisation decay and provided simple formulas in the slow and fast exchange limits, and in the case of a site of scarce nuclei with high intrinsic relaxation rate. We have shown that a bi-exponential decay is only observable if both site populations are comparable and if the exchange rates are slower than or comparable to the absolute difference of intrinsic relaxation rates. We have given analytic expressions of the loss of information due to the finite acquisition delay. We have shown that the acquisition delay can strongly affect the fitted values of the populations, residence times, and intrinsic relaxation times of the sites in the case of bi-exponential relaxation.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the European Union Horizon 2020 research and innovation programme under grant agreement no. 668119 (project ‘IDentIFY’), and was performed under the auspices of the COST Action AC15209, EURELAX.

References