Optimised MRI intensity standardisation based on multi-dimensional sub-regional point cloud registration

References

• Abdel-Basset M, Fakhry AE, El-Henawy I, Qiu T, Sangaiah AK. 2017. Feature and intensity based medical image registration using particle swarm optimization. J Med Syst. 41(12):197.
   PubMed Web of Science ®Google Scholar
• Abdel-Basset M, Mohamed M, Chang V. 2018. NMCDA: a framework for evaluating cloud computing services. Future Gener Comput Syst. 86:12–29.
   Web of Science ®Google Scholar
• Aerts HJ, Velazquez ER, Leijenaar RT, Parmar C, Grossmann P, Carvalho S, Bussink J, Monshouwer R, Haibe-Kains B, Rietveld D, et al. 2014. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 5:4006.
   PubMed Web of Science ®Google Scholar
• Aubert-Broche B, Griffin M, Pike GB, Evans AC, Collins DL. 2006. Twenty new digital brain phantoms for creation of validation image data bases. IEEE Trans Med Imaging. 25(11):1410–1416.
   PubMed Web of Science ®Google Scholar
• Collewet G, Strzelecki M, Mariette F. 2004. Influence of MRI acquisition protocols and image intensity normalization methods on texture classification. Magn Reson Imaging. 22(1):81–91.
   PubMed Web of Science ®Google Scholar
• De Nunzio G, Cataldo R, Carla A. 2015. Robust intensity standardization in brain magnetic resonance images. J Digit Imaging. 28(6):727–737.
   PubMed Web of Science ®Google Scholar
• Dzyubachyk O, Staring M, Reijnierse M, Lelieveldt BP, van der Geest RJ. 2017. Inter-station intensity standardization for whole-body MR data. Magn Reson Med. 77(1):422–433.
   PubMed Web of Science ®Google Scholar
• Evans AC, Collins DL, Mills SR, Brown ED, Kelly RL, Peters TM 1993. 3D statistical neuroanatomical models from 305 MRI volumes. 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference; 1993 Oct 31- Nov 6. San Francisco, CA, USA.
   Google Scholar
• Jäger F, Deuerling-Zheng Y, Frericks B, Wacker F, Hornegger J 2006. A new method for MRI intensity standardization with application to lesion detection in the brain. Vision, Modeling, and Visualization 2006: Proceedings; Nov 22-24, Aachen, Germany: IOS Press.
   Google Scholar
• Jäger F, Hornegger J. 2009. Nonrigid registration of joint histograms for intensity standardization in magnetic resonance imaging. IEEE Trans Med Imaging. 28(1):137–150.
   PubMed Web of Science ®Google Scholar
• Lee S, Wolberg G, Shin SY. 1997. Scattered data interpolation with multilevel B-splines. IEEE Trans Vis Comput Graph. 3(3):228–244.
   Web of Science ®Google Scholar
• Madabhushi A, Udupa JK. 2006. New methods of MR image intensity standardization via generalized scale. Med Phys. 33(9):3426–3434.
   PubMed Web of Science ®Google Scholar
• Mazziotta J, Toga A, Evans A, Fox P, Lancaster J, Zilles K, Woods R, Paus T, Simpson G, Pike B, et al. 2001. A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). Philos Trans R Soc Lond B Biol Sci. 356(1412):1293–1322.
   PubMed Web of Science ®Google Scholar
• Nyul LG, Udupa JK, Zhang X. 2000. New variants of a method of MRI scale standardization. IEEE Trans Med Imaging. 19(2):143–150.
   PubMed Web of Science ®Google Scholar
• Penny WD, Friston KJ, Ashburner JT, Kiebel SJ, Nichols TE. 2011. Statistical parametric mapping: the analysis of functional brain images. Cambridge (MA): Academic press.
   Google Scholar
• Robitaille N, Mouiha A, Crépeault B, Valdivia F, Duchesne S. 2012. Tissue-based MRI intensity standardization: application to multicentric datasets. J Biomed Imaging. 4: 347120.
   Google Scholar
• Rolls ET, Joliot M, Tzourio-Mazoyer N. 2015. Implementation of a new parcellation of the orbitofrontal cortex in the automated anatomical labeling atlas. Neuroimage. 122:1–5.
   PubMed Web of Science ®Google Scholar
• Rueckert D, Aljabar P, Heckemann RA, Hajnal JV, Hammers A. 2006. Diffeomorphic registration using B-splines. In: Larsen R, Nielsen M, Sporring J, editors. Medical image computing and computer-assisted intervention – MICCAI 2006: 9th international conference, Copenhagen, Denmark, October 1–6,2006 proceedings, part II. Berlin (Heidelberg): Springer Berlin Heidelberg; p. 702–709.
   Google Scholar
• Sangaiah AK, Fakhry AE, Abdel-Basset M, El-Henawy I. 2018. Arabic text clustering using improved clustering algorithms with dimensionality reduction. Cluster Comput.  [accessed 27 Feb 2018];[1–15]. [10.1007/s10586-018-2084-4].
   Google Scholar
• Sun X, Shi L, Luo Y, Yang W, Li H, Liang P, Li K, Mok VC, Chu WC, Wang D. 2015. Histogram-based normalization technique on human brain magnetic resonance images from different acquisitions. Biomed Eng Online. 14:73.
   PubMed Web of Science ®Google Scholar