Deformable image registration for radiation therapy: principle, methods, applications and evaluation

References

• Brock KK, Mutic S, McNutt TR, et al. Use of image registration and fusion algorithms and techniques in radiotherapy: report of the AAPM Radiation Therapy Committee Task Group No. 132. Med Phys. 2017;44:e43–e76.
   PubMed Web of Science ®Google Scholar
• de Crevoisier R, Tucker SL, Dong L, et al. Increased risk of biochemical and local failure in patients with distended rectum on the planning CT for prostate cancer radiotherapy. Int J Radiat Oncol Biol Phys. 2005;62:965–973.
   PubMed Web of Science ®Google Scholar
• Castelli J, Simon A, Louvel G, et al. Impact of head and neck cancer adaptive radiotherapy to spare the parotid glands and decrease the risk of xerostomia. Radiat Oncol. 2015;10:6.
   PubMed Web of Science ®Google Scholar
• Han X, Hoogeman MS, Levendag PC, et al., editors. Atlas-based auto-segmentation of head and neck CT images. International Conference on Medical Image Computing and Computer-assisted Intervention. Springer; 2008.
   Google Scholar
• Acosta O, Mylona E, Le Dain M, et al. Multi-atlas-based segmentation of prostatic urethra from planning CT imaging to quantify dose distribution in prostate cancer radiotherapy. Radiother Oncol. 2017;125:492–499.
   PubMed Web of Science ®Google Scholar
• Acosta O, Simon A, Monge F, et al., editors. Evaluation of multi-atlas-based segmentation of CT scans in prostate cancer radiotherapy. 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE; 2011.
   Google Scholar
• Dowling JA, Fripp J, Chandra S, et al. Fast automatic multi-atlas segmentation of the prostate from 3D MR images. Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions. Springer; 2011. p. 10–21.
   Google Scholar
• Acosta O, Dowling J, Drean G, et al. Multi-atlas-based segmentation of pelvic structures from CT scans for planning in prostate cancer radiotherapy. In: Abdomen and Thoracic Imaging. Boston, (MA): Springer; 2014. p. 623-656.
   Google Scholar
• Langerak T, Heijkoop S, Quint S, et al. Towards automatic plan selection for radiotherapy of cervical cancer by fast automatic segmentation of cone beam CT scans. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. Springer; 2014. p. 528–535.
   Google Scholar
• Daisne J-F, Blumhofer A. Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation. Radiat Oncol. 2013;8:154.
   PubMed Web of Science ®Google Scholar
• La Macchia M, Fellin F, Amichetti M, et al. Systematic evaluation of three different commercial software solutions for automatic segmentation for adaptive therapy in head-and-neck, prostate and pleural cancer. Radiat Oncol. 2012;7:160.
   PubMed Web of Science ®Google Scholar
• Bodensteiner D. RayStation: external beam treatment planning system. Med Dosim. 2018;43:168–176.
   PubMed Web of Science ®Google Scholar
• Farina E, Ferioli M, Castellucci P, et al. 18F-Fdg-PET-guided planning and re-planning (adaptive) radiotherapy in head and neck cancer: current state of art. Anticancer Res. 2017;37:6523–6532.
   PubMed Web of Science ®Google Scholar
• Seppälä T, Visapää H, Collan J, et al. Converting from CT- to MRI-only-based target definition in radiotherapy of localized prostate cancer. Strahlenther Onkol. 2015;191:862–868.
   PubMed Web of Science ®Google Scholar
• Sabater S, del Rosario Pastor-Juan M, Berenguer R, et al. Analysing the integration of MR images acquired in a non-radiotherapy treatment position into the radiotherapy workflow using deformable and rigid registration. Radiother Oncol. 2016;119:179–184.
   PubMed Web of Science ®Google Scholar
• Zhong H, Wen N, Gordon JJ, et al. An adaptive MR-CT registration method for MRI-guided prostate cancer radiotherapy. Phys Med Biol. 2015;60:2837.
   PubMed Web of Science ®Google Scholar
• Tait LM, Hoffman D, Benedict S, et al. The use of MRI deformable image registration for CT-based brachytherapy in locally advanced cervical cancer. Brachytherapy. 2016;15:333–340.
   PubMed Web of Science ®Google Scholar
• Chuter R, Prestwich R, Bird D, et al. The use of deformable image registration to integrate diagnostic MRI into the radiotherapy planning pathway for head and neck cancer. Radiother Oncol. 2017;122:229–235.
   PubMed Web of Science ®Google Scholar
• Leibfarth S, Mönnich D, Welz S, et al. A strategy for multimodal deformable image registration to integrate PET/MR into radiotherapy treatment planning. Acta Oncol. 2013;52:1353–1359.
   PubMed Web of Science ®Google Scholar
• Hwang AB, Bacharach SL, Yom SS, et al. Can positron emission tomography (PET) or PET/computed tomography (CT) acquired in a nontreatment position be accurately registered to a head-and-neck radiotherapy planning CT? Int J Radiat Oncol Biol Phys. 2009;73:578–584.
   PubMed Web of Science ®Google Scholar
• Yang Y, Teo SK, Van Reeth E, et al. A hybrid approach for fusing 4D-MRI temporal information with 3D-CT for the study of lung and lung tumor motion. Med Phys. 2015;42:4484–4496.
   PubMed Web of Science ®Google Scholar
• Thörnqvist S, Hysing LB, Zolnay AG, et al. Adaptive radiotherapy in locally advanced prostate cancer using a statistical deformable motion model. Acta Oncol. 2013;52:1423–1429.
   PubMed Web of Science ®Google Scholar
• Bondar L, Intven M, Burbach JM, et al. Statistical modeling of CTV motion and deformation for IMRT of early-stage rectal cancer. Int J Radiat Oncol Biol Phys. 2014;90:664–672.
   PubMed Web of Science ®Google Scholar
• Tilly D, van de Schoot AJ, Grusell E, et al. Dose coverage calculation using a statistical shape model—applied to cervical cancer radiotherapy. Phys Med Biol. 2017;62:4140.
   PubMed Web of Science ®Google Scholar
• Rigaud B, Simon A, Gobeli M, et al. Statistical shape model to generate a planning library for cervical adaptive radiotherapy. IEEE Trans Med Imaging. 2019;38:406–416.
   PubMed Web of Science ®Google Scholar
• Heijkoop ST, Langerak TR, Quint S, et al. Clinical implementation of an online adaptive plan-of-the-day protocol for nonrigid motion management in locally advanced cervical cancer IMRT. Int J Radiat Oncol Biol Phys. 2014;90:673–679.
   PubMed Web of Science ®Google Scholar
• Lutkenhaus LJ, Visser J, de Jong R, et al. Evaluation of delivered dose for a clinical daily adaptive plan selection strategy for bladder cancer radiotherapy. Radiother Oncol. 2015;116:51–56.
   PubMed Web of Science ®Google Scholar
• Ghose S, Holloway L, Lim K, et al. A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning. Artif Intell Med. 2015;64:75–87.
   PubMed Web of Science ®Google Scholar
• Collins SD, Leech MM. A review of plan library approaches in adaptive radiotherapy of bladder cancer. Acta Oncol. 2018;57:566–573.
   PubMed Web of Science ®Google Scholar
• Thörnqvist S, Hysing LB, Tuomikoski L, et al. Adaptive radiotherapy strategies for pelvic tumors – a systematic review of clinical implementations. Acta Oncol. 2016;55:943–958.
   PubMed Web of Science ®Google Scholar
• Kipritidis J, Hugo G, Weiss E, et al. Measuring interfraction and intrafraction lung function changes during radiation therapy using four‐dimensional cone beam CT ventilation imaging. Med Phys. 2015;42:1255–1267.
   PubMed Web of Science ®Google Scholar
• Yamamoto T, Kabus S, Klinder T, et al. Investigation of four-dimensional computed tomography-based pulmonary ventilation imaging in patients with emphysematous lung regions. Phys Med Biol. 2011;56:2279.
   PubMed Web of Science ®Google Scholar
• Yamamoto T, Kabus S, Von Berg J, et al. Impact of four-dimensional computed tomography pulmonary ventilation imaging-based functional avoidance for lung cancer radiotherapy. Int J Radiat Oncol Biol Phys. 2011;79:279–288.
   PubMed Web of Science ®Google Scholar
• Yamamoto T, Kabus S, Klinder T, et al. Four‐dimensional computed tomography pulmonary ventilation images vary with deformable image registration algorithms and metrics. Med Phys. 2011;38:1348–1358.
   PubMed Web of Science ®Google Scholar
• Freyhardt P, Hartwig T, De Bucourt M, et al. MR-guided facet joint injection therapy using an open 1.0-T MRI system: an outcome study. Eur Radiol. 2013;23:3296–3303.
   PubMed Web of Science ®Google Scholar
• Van Heijst TC, Den Hartogh MD, Lagendijk JJ, et al. MR-guided breast radiotherapy: feasibility and magnetic-field impact on skin dose. Phys Med Biol. 2013;58:5917.
   PubMed Web of Science ®Google Scholar
• Lagendijk JJ, Raaymakers BW, van Vulpen M. The magnetic resonance imaging-linac system. Semin Radiat Oncol. 2014;24:207–209.
   PubMed Web of Science ®Google Scholar
• Owrangi AM, Greer PB, Glide-Hurst CK. MRI-only treatment planning: benefits and challenges. Phys Med Biol. 2018;63:05TR01.
   PubMed Web of Science ®Google Scholar
• Tenhunen M, Korhonen J, Kapanen M, et al. MRI-only based radiation therapy of prostate cancer: workflow and early clinical experience. Acta Oncol. 2018;57:902–907.
   PubMed Web of Science ®Google Scholar
• Dowling JA, Lambert J, Parker J, et al. An atlas-based electron density mapping method for magnetic resonance imaging (MRI)-alone treatment planning and adaptive MRI-based prostate radiation therapy. Int J Radiat Oncol Biol Phys. 2012;83:e5–e11.
   PubMed Web of Science ®Google Scholar
• Chen S, Quan H, Qin A, et al. MR image‐based synthetic CT for IMRT prostate treatment planning and CBCT image‐guided localization. J Appl Clin Med Phys. 2016;17:236–245.
   PubMed Web of Science ®Google Scholar
• Burgos N, Cardoso MJ, Guerreiro F, et al., editors. Robust CT synthesis for radiotherapy planning: application to the head and neck region. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer; 2015.
   Google Scholar
• König L, Derksen A, Papenberg N, et al. Deformable image registration for adaptive radiotherapy with guaranteed local rigidity constraints. Radiat Oncol. 2016;11:122.
   PubMed Web of Science ®Google Scholar
• Gardner SJ, Wen N, Kim J, et al. Contouring variability of human-and deformable-generated contours in radiotherapy for prostate cancer. Phys Med Biol. 2015;60:4429.
   PubMed Web of Science ®Google Scholar
• Kim J, Kumar S, Liu C, et al. A novel approach for establishing benchmark CBCT/CT deformable image registrations in prostate cancer radiotherapy. Phys Med Biol. 2013;58:8077.
   PubMed Web of Science ®Google Scholar
• Thor M, Bentzen L, Elstrøm UV, et al. Dose/volume-based evaluation of the accuracy of deformable image registration for the rectum and bladder. Acta Oncol. 2013;52:1411–1416.
   PubMed Web of Science ®Google Scholar
• Thor M, Petersen JB, Bentzen L, et al. Deformable image registration for contour propagation from CT to cone-beam CT scans in radiotherapy of prostate cancer. Acta Oncol. 2011;50:918–925.
   PubMed Web of Science ®Google Scholar
• Riegel AC, Antone JG, Zhang H, et al. Deformable image registration and interobserver variation in contour propagation for radiation therapy planning. J Appl Clin Med Phys. 2016;17:347–357.
   PubMed Web of Science ®Google Scholar
• Thörnqvist S, Petersen JB, Høyer M, et al. Propagation of target and organ at risk contours in radiotherapy of prostate cancer using deformable image registration. Acta Oncol. 2010;49:1023–1032.
   PubMed Web of Science ®Google Scholar
• Xie Y, Chao M, Lee P, et al. Feature-based rectal contour propagation from planning CT to cone beam CT. Med Phys. 2008;35:4450–4459.
   PubMed Web of Science ®Google Scholar
• Van Der Put R, Kerkhof E, Raaymakers B, et al. Contour propagation in MRI-guided radiotherapy treatment of cervical cancer: the accuracy of rigid, non-rigid and semi-automatic registrations. Phys Med Biol. 2009;54:7135.
   PubMed Web of Science ®Google Scholar
• Lu C, Chelikani S, Jaffray DA, et al. Simultaneous nonrigid registration, segmentation, and tumor detection in MRI guided cervical cancer radiation therapy. IEEE Trans Med Imaging. 2012;31:1213–1227.
   PubMed Web of Science ®Google Scholar
• Berendsen FF, Van Der Heide UA, Langerak TR, et al. Free-form image registration regularized by a statistical shape model: application to organ segmentation in cervical MR. Comput Vision Image Understand. 2013;117:1119–1127.
   Web of Science ®Google Scholar
• Chapman CH, Polan D, Vineberg K, et al. Deformable image registration-based contour propagation yields clinically acceptable plans for MRI-based cervical cancer brachytherapy planning. Brachytherapy. 2018;17:360–367.
   PubMed Web of Science ®Google Scholar
• Gupta V, Wang Y, Romero AM, et al. Fast and robust adaptation of organs-at-risk delineations from planning scans to match daily anatomy in pre-treatment scans for online-adaptive radiotherapy of abdominal tumors. Radiother Oncol. 2018;127:332–338.
   PubMed Web of Science ®Google Scholar
• Brock KK, Hawkins M, Eccles C, et al. Improving image-guided target localization through deformable registration. Acta Oncol. 2008;47:1279–1285.
   PubMed Web of Science ®Google Scholar
• Rigaud B, Simon A, Castelli J, et al. Evaluation of deformable image registration methods for dose monitoring in head and neck radiotherapy. Biomed Res Int. 2015;2015:726268.
   PubMed Web of Science ®Google Scholar
• Kumarasiri A, Siddiqui F, Liu C, et al. Deformable image registration based automatic CT‐to‐CT contour propagation for head and neck adaptive radiotherapy in the routine clinical setting. Med Phys. 2014;41:121712.
   PubMed Web of Science ®Google Scholar
• Ramadaan IS, Peick K, Hamilton DA, et al. Validation of Varian’s SmartAdapt® deformable image registration algorithm for clinical application. Radiat Oncol. 2015;10:73.
   PubMed Web of Science ®Google Scholar
• Veiga C, McClelland J, Moinuddin S, et al. Toward adaptive radiotherapy for head and neck patients: feasibility study on using CT-to-CBCT deformable registration for "dose of the day" calculations. Med Phys. 2014;41:031703.
   PubMed Web of Science ®Google Scholar
• Hou J, Guerrero M, Chen W, et al. Deformable planning CT to cone-beam CT image registration in head-and-neck cancer. Med Phys. 2011;38:2088–2094.
   PubMed Web of Science ®Google Scholar
• Hvid CA, Elstrøm UV, Jensen K, et al. Accuracy of software-assisted contour propagation from planning CT to cone beam CT in head and neck radiotherapy. Acta Oncol. 2016;55:1324–1330.
   PubMed Web of Science ®Google Scholar
• Broggi S, Scalco E, Belli ML, et al. A comparative evaluation of 3 different free-form deformable image registration and contour propagation methods for head and neck MRI: the case of parotid changes during radiotherapy. Technol Cancer Res Treat. 2017;16:373–381.
   PubMed Web of Science ®Google Scholar
• Louie AV, Rodrigues G, Olsthoorn J, et al. Inter-observer and intra-observer reliability for lung cancer target volume delineation in the 4D-CT era. Radiother Oncol. 2010;95:166–171.
   PubMed Web of Science ®Google Scholar
• Gaede S, Olsthoorn J, Louie AV, et al. An evaluation of an automated 4D-CT contour propagation tool to define an internal gross tumour volume for lung cancer radiotherapy. Radiother Oncol. 2011;101:322–328.
   PubMed Web of Science ®Google Scholar
• Speight R, Sykes J, Lindsay R, et al. The evaluation of a deformable image registration segmentation technique for semi-automating internal target volume (ITV) production from 4DCT images of lung stereotactic body radiotherapy (SBRT) patients. Radiother Oncol. 2011;98:277–283.
   PubMed Web of Science ®Google Scholar
• van Dam IE, de Koste J, Hanna GG, et al. Improving target delineation on 4-dimensional CT scans in stage I NSCLC using a deformable registration tool. Radiother Oncol. 2010;96:67–72.
   PubMed Web of Science ®Google Scholar
• Stützer K, Haase R, Lohaus F, et al. Evaluation of a deformable registration algorithm for subsequent lung computed tomography imaging during radiochemotherapy. Med Phys. 2016;43:5028–5039.
   PubMed Web of Science ®Google Scholar
• Hardcastle N, Hofman MS, Hicks RJ, et al. Accuracy and utility of deformable image registration in 68 Ga 4D PET/CT assessment of pulmonary perfusion changes during and after lung radiation therapy. Int J Radiat Oncol Biol Phys. 2015;93:196–204.
   PubMed Web of Science ®Google Scholar
• Al‐Ward SM, Kim A, McCann C, et al. The development of a 4D treatment planning methodology to simulate the tracking of central lung tumors in an MRI‐linac. J Appl Clin Med Phys. 2017;19:145–155.
   PubMed Web of Science ®Google Scholar
• de Xivry JO, Janssens G, Bosmans G, et al. Tumour delineation and cumulative dose computation in radiotherapy based on deformable registration of respiratory correlated CT images of lung cancer patients. Radiother Oncol. 2007;85:232–238.
   PubMed Web of Science ®Google Scholar
• Mazur TR, Fischer-Valuck BW, Wang Y, et al. SIFT-based dense pixel tracking on 0.35 T cine-MR images acquired during image-guided radiation therapy with application to gating optimization. Med Phys. 2015;43:279–293.
   Web of Science ®Google Scholar
• Fast MF, Eiben B, Menten MJ, et al. Tumour auto-contouring on 2d cine MRI for locally advanced lung cancer: a comparative study. Radiother Oncol. 2017;125:485–491.
   PubMed Web of Science ®Google Scholar
• Sharma M, Weiss E, Siebers JV. Dose deformation-invariance in adaptive prostate radiation therapy: implication for treatment simulations. Radiother Oncol. 2012;105:207–213.
   PubMed Web of Science ®Google Scholar
• Simon A, Le Maitre A, Nassef M, et al. Is dose deformation-invariance hypothesis verified in prostate IGRT? Int J Radiat Oncol Biol Phys. 2017;97:830–838.
   PubMed Web of Science ®Google Scholar
• Moteabbed M, Sharp G, Wang Y, et al. Validation of a deformable image registration technique for cone beam CT-based dose verification. Med Phys. 2015;42:196–205.
   PubMed Web of Science ®Google Scholar
• Lou J, Huang P, Ma C, et al. Parotid gland radiation dose‐xerostomia relationships based on actual delivered dose for nasopharyngeal carcinoma. J Appl Clin Med Phys. 2018;19:251–260.
   PubMed Web of Science ®Google Scholar
• Arai K, Kadoya N, Kato T, et al. Feasibility of CBCT-based proton dose calculation using a histogram-matching algorithm in proton beam therapy. Phys Med. 2017;33:68–76.
   PubMed Web of Science ®Google Scholar
• Kurz C, Kamp F, Park YK, et al. Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT. Med Phys. 2016;43:5635–5646.
   PubMed Web of Science ®Google Scholar
• Landry G, Nijhuis R, Dedes G, et al. Investigating CT to CBCT image registration for head and neck proton therapy as a tool for daily dose recalculation. Med Phys. 2015;42:1354–1366.
   PubMed Web of Science ®Google Scholar
• Branchini M, Fiorino C, Dell'Oca I, et al. Validation of a method for “dose of the day” calculation in head-neck tomotherapy by using planning ct-to-MVCT deformable image registration. Phys Med. 2017;39:73–79.
   PubMed Web of Science ®Google Scholar
• Cole A, Veiga C, Johnson U, et al. Toward adaptive radiotherapy for lung patients: feasibility study on deforming planning CT to CBCT to assess the impact of anatomical changes on dosimetry. Phys Med Biol. 2018;63:155014.
   PubMed Web of Science ®Google Scholar
• Onozato Y, Kadoya N, Fujita Y, et al. Evaluation of on-board kV cone beam computed tomography-based dose calculation with deformable image registration using Hounsfield unit modifications. Int J Radiat Oncol Biol Phys. 2014;89:416–423.
   PubMed Web of Science ®Google Scholar
• Marchant TE, Joshi KD, Moore CJ. Accuracy of radiotherapy dose calculations based on cone-beam CT: comparison of deformable registration and image correction based methods. Phys Med Biol. 2018;63:065003.
   PubMed Web of Science ®Google Scholar
• Boman E, Kapanen M, Pickup L, et al. Importance of deformable image registration and biological dose summation in planning of radiotherapy retreatments. Med Dosim. 2017;42:296–303.
   PubMed Web of Science ®Google Scholar
• Andersen E, Muren L, Sørensen TS, et al. Bladder dose accumulation based on a biomechanical deformable image registration algorithm in volumetric modulated arc therapy for prostate cancer. Phys Med Biol. 2012;57:7089.
   PubMed Web of Science ®Google Scholar
• Lee DS, Woo J-Y, Kim JW, et al. Re-irradiation of hepatocellular carcinoma: clinical applicability of deformable image registration. Yonsei Med J. 2016;57:41–49.
   PubMed Web of Science ®Google Scholar
• Thor M, Andersen ES, Petersen JB, et al. Evaluation of an application for intensity-based deformable image registration and dose accumulation in radiotherapy. Acta Oncol. 2014;53:1329–1336.
   PubMed Web of Science ®Google Scholar
• Kvinnsland Y, Muren LP, Dahl O. Evaluation of a new method for calculation of cumulative doses in the rectum wall using repeat CT scans. Acta Oncol. 2004;43:388–395.
   PubMed Web of Science ®Google Scholar
• Rubeaux M, Cazoulat G, Duménil A, et al. Numerical phantom generation to evaluate non-rigid CT/CBCT registration algorithms for prostate cancer radiotherapy. Nice (France): Image-Guidance and Multimodal Dose Planning in Radiation Therapy; 2012. p. 74–81.
   Google Scholar
• Kobayashi K, Murakami N, Wakita A, et al. Dosimetric variations due to interfraction organ deformation in cervical cancer brachytherapy. Radiother Oncol. 2015;117:555–558.
   PubMed Web of Science ®Google Scholar
• Teo B-K, Millar LPB, Ding X, et al. Assessment of cumulative external beam and intracavitary brachytherapy organ doses in gynecologic cancers using deformable dose summation. Radiother Oncol. 2015;115:195–202.
   PubMed Web of Science ®Google Scholar
• Jamema SV, Mahantshetty U, Andersen E, et al. Uncertainties of deformable image registration for dose accumulation of high-dose regions in bladder and rectum in locally advanced cervical cancer. Brachytherapy. 2015;14:953–962.
   PubMed Web of Science ®Google Scholar
• Andersen ES, Noe KØ, Sørensen TS, et al. Simple DVH parameter addition as compared to deformable registration for bladder dose accumulation in cervix cancer brachytherapy. Radiother Oncol. 2013;107:52–57.
   PubMed Web of Science ®Google Scholar
• van Heerden LE, Houweling AC, Koedooder K, et al. Structure-based deformable image registration: added value for dose accumulation of external beam radiotherapy and brachytherapy in cervical cancer. Radiother Oncol. 2017;123:319–324.
   PubMed Web of Science ®Google Scholar
• Rosu M, Chetty IJ, Balter JM, et al. Dose reconstruction in deforming lung anatomy: dose grid size effects and clinical implications. Med Phys. 2005;32:2487–2495.
   PubMed Web of Science ®Google Scholar
• Zhong H, Chetty IJ. Adaptive radiotherapy for NSCLC patients: utilizing the principle of energy conservation to evaluate dose mapping operations. Phys Med Biol. 2017;62:4333.
   PubMed Web of Science ®Google Scholar
• Zhong H, Siebers JV. Monte Carlo dose mapping on deforming anatomy. Phys Med Biol. 2009;54:5815.
   PubMed Web of Science ®Google Scholar
• Nassef M, Simon A, Cazoulat G, et al. Quantification of dose uncertainties in cumulated dose estimation compared to planned dose in prostate IMRT. Radiother Oncol. 2016;119:129–136.
   PubMed Web of Science ®Google Scholar
• Yu J, Hardcastle N, Jeong K, et al. On voxel-by-voxel accumulated dose for prostate radiation therapy using deformable image registration. Technol Cancer Res Treat. 2015;14:37–47.
   PubMed Web of Science ®Google Scholar
• Moulton CR, House MJ, Lye V, et al. Accumulation of rectum dose‐volume metrics for prostate external beam radiotherapy combined with brachytherapy: evaluating deformably registered dose distribution addition using parameter‐based addition. J Med Imaging Radiat Oncol. 2017;61:534–542.
   PubMed Web of Science ®Google Scholar
• Vestergaard A, Muren LP, Søndergaard J, et al. Adaptive plan selection vs. re-optimisation in radiotherapy for bladder cancer: a dose accumulation comparison. Radiother Oncol. 2013;109:457–462.
   PubMed Web of Science ®Google Scholar
• Lim K, Kelly V, Stewart J, et al. Pelvic radiotherapy for cancer of the cervix: is what you plan actually what you deliver? Int J Radiat Oncol Biol Phys. 2009;74:304–312.
   PubMed Web of Science ®Google Scholar
• Stewart J, Lim K, Kelly V, et al. Automated weekly replanning for intensity-modulated radiotherapy of cervix cancer. Int J Radiat Oncol Biol Phys. 2010;78:350–358.
   PubMed Web of Science ®Google Scholar
• Oh S, Stewart J, Moseley J, et al. Hybrid adaptive radiotherapy with on-line MRI in cervix cancer IMRT. Radiother Oncol. 2014;110:323–328.
   PubMed Web of Science ®Google Scholar
• Rigaud B, Simon A, Gobeli M, et al. CBCT-guided evolutive library for cervical adaptive IMRT. Med Phys. 2018;45:1379–1390.
   PubMed Web of Science ®Google Scholar
• Reniers B, Janssens G, de Xivry JO, et al. Dose distribution for gynecological brachytherapy with dose accumulation between insertions: feasibility study. Brachytherapy. 2016;15:504–513.
   PubMed Web of Science ®Google Scholar
• Zhen X, Chen H, Yan H, et al. A segmentation and point-matching enhanced efficient deformable image registration method for dose accumulation between HDR CT images. Phys Med Biol. 2015;60:2981.
   PubMed Web of Science ®Google Scholar
• Ryckman JM, Shelton JW, Waller AF, et al. Anatomic structure-based deformable image registration of brachytherapy implants in the treatment of locally advanced cervix cancer. Brachytherapy. 2016;15:584–592.
   PubMed Web of Science ®Google Scholar
• Kim H, Huq MS, Houser C, et al. Mapping of dose distribution from IMRT onto MRI-guided high dose rate brachytherapy using deformable image registration for cervical cancer treatments: preliminary study with commercially available software. JCB. 2014;6:178.
   Web of Science ®Google Scholar
• Abe T, Tamaki T, Makino S, et al. Assessing cumulative dose distributions in combined radiotherapy for cervical cancer using deformable image registration with pre-imaging preparations. Radiat Oncol. 2014;9:293.
   PubMed Web of Science ®Google Scholar
• Kadoya N, Miyasaka Y, Nakajima Y, et al. Evaluation of deformable image registration between external beam radiotherapy and HDR brachytherapy for cervical cancer with a 3D‐printed deformable pelvis phantom. Med Phys. 2017;44:1445–1455.
   PubMed Web of Science ®Google Scholar
• Moulton CR, House MJ, Lye V, et al. Registering prostate external beam radiotherapy with a boost from high-dose-rate brachytherapy: a comparative evaluation of deformable registration algorithms. Radiat Oncol. 2015;10:254.
   PubMed Web of Science ®Google Scholar
• Castelli J, Simon A, Lafond C, et al. Adaptive radiotherapy for head and neck cancer. Acta Oncol. 2018;57:1284–1292.
   PubMed Web of Science ®Google Scholar
• Zhang P, Simon A, Rigaud B, et al. Optimal adaptive IMRT strategy to spare the parotid glands in oropharyngeal cancer. Radiother Oncol. 2016;120:41–47.
   PubMed Web of Science ®Google Scholar
• Elstrøm UV, Wysocka BA, Muren LP, et al. Daily kV cone-beam CT and deformable image registration as a method for studying dosimetric consequences of anatomic changes in adaptive IMRT of head and neck cancer. Acta Oncol. 2010;49:1101–1108.
   PubMed Web of Science ®Google Scholar
• Nobnop W, Chitapanarux I, Neamin H, et al. Evaluation of deformable image registration (DIR) methods for dose accumulation in nasopharyngeal cancer patients during radiotherapy. Radiol Oncol. 2017;51:438–446.
   PubMed Web of Science ®Google Scholar
• Castelli J, Simon A, Rigaud B, et al. A nomogram to predict parotid gland overdose in head and neck IMRT. Radiat Oncol. 2016;11:79.
   PubMed Web of Science ®Google Scholar
• Noble DJ, Yeap P-L, Seah SY, et al. Anatomical change during radiotherapy for head and neck cancer, and its effect on delivered dose to the spinal cord. Radiother Oncol. 2019;130:32–38.
   PubMed Web of Science ®Google Scholar
• Samavati N, Velec M, Brock KK. Effect of deformable registration uncertainty on lung SBRT dose accumulation. Med Phys. 2016;43:233–240.
   PubMed Web of Science ®Google Scholar
• Jung SH, Yoon SM, Park SH, et al. Four-dimensional dose evaluation using deformable image registration in radiotherapy for liver cancer. Med Phys. 2012;40:011706.
   Web of Science ®Google Scholar
• Velec M, Moseley JL, Eccles CL, et al. Effect of breathing motion on radiotherapy dose accumulation in the abdomen using deformable registration. Int J Radiat Oncol Biol Phys. 2011;80:265–272.
   PubMed Web of Science ®Google Scholar
• Senthi S, Griffioen GH, de Koste J, et al. Comparing rigid and deformable dose registration for high dose thoracic re-irradiation. Radiother Oncol. 2013;106:323–326.
   PubMed Web of Science ®Google Scholar
• Heemsbergen WD, Al-Mamgani A, Witte MG, et al. Urinary obstruction in prostate cancer patients from the Dutch trial (68 Gy vs. 78 Gy): relationships with local dose, acute effects, and baseline characteristics. Int J Radiat Oncol Biol Phys. 2010;78:19–25.
   PubMed Web of Science ®Google Scholar
• Acosta O, Drean G, Ospina JD, et al. Voxel-based population analysis for correlating local dose and rectal toxicity in prostate cancer radiotherapy. Phys Med Biol. 2013;58:2581.
   PubMed Web of Science ®Google Scholar
• Drean G, Acosta O, Ospina JD, et al. Identification of a rectal subregion highly predictive of rectal bleeding in prostate cancer IMRT. Radiother Oncol. 2016;119:388–397.
   PubMed Web of Science ®Google Scholar
• Drean G, Acosta O, Lafond C, et al. Interindividual registration and dose mapping for voxelwise population analysis of rectal toxicity in prostate cancer radiotherapy. Med Phys. 2016;43:2721–2730.
   PubMed Web of Science ®Google Scholar
• Monti S, Palma G, D’avino V, et al. Voxel-based analysis unveils regional dose differences associated with radiation-induced morbidity in head and neck cancer patients. Sci Rep. 2017;7:7220.
   PubMed Web of Science ®Google Scholar
• Avanzo M, Barbiero S, Trovo M, et al. Voxel-by-voxel correlation between radiologically radiation induced lung injury and dose after image-guided, intensity modulated radiotherapy for lung tumors. Phys Med. 2017;42:150–156.
   PubMed Web of Science ®Google Scholar
• Palma G, Monti S, D'Avino V, et al. A voxel-based approach to explore local dose differences associated with radiation-induced lung damage. Int J Radiat Oncol Biol Phys. 2016;96:127–133.
   PubMed Web of Science ®Google Scholar
• Jamema SV, Phurailatpam R, Paul SN, et al. Commissioning and validation of commercial deformable image registration software for adaptive contouring. Phys Med. 2018;47:1–8.
   PubMed Web of Science ®Google Scholar
• Zhong H, Guttmann D, Huang M, et al. Evaluating the feasibility of applying deformable registration into adaptive therapy for NRG oncology RTOG 1106. Int J Radiat Oncol Biol Phys. 2017;99:E509–E510.
   Web of Science ®Google Scholar
• Veiga C, Lourenço AM, Mouinuddin S, et al. Toward adaptive radiotherapy for head and neck patients: uncertainties in dose warping due to the choice of deformable registration algorithm. Med Phys. 2015;42:760–769.
   PubMed Web of Science ®Google Scholar
• Fusella M, Giglioli FR, Fiandra C, et al. Evaluation of dose recalculation vs dose deformation in a commercial platform for deformable image registration with a computational phantom. Med Dosim. 2018;43:82–90.
   PubMed Web of Science ®Google Scholar
• Abe Y, Kadoya N, Arai K, et al. Effect of DIR uncertainty on prostate passive-scattering proton therapy dose accumulation. Phys Med. 2017;39:113–120.
   PubMed Web of Science ®Google Scholar
• Zhong H, Siddiqui SM, Movsas B, et al. Evaluation of adaptive treatment planning for patients with non-small cell lung cancer. Phys Med Biol. 2017;62:4346.
   PubMed Web of Science ®Google Scholar
• Moriya S, Tachibana H, Kitamura N, et al. Dose warping performance in deformable image registration in lung. Phys Med. 2017;37:16–23.
   PubMed Web of Science ®Google Scholar
• Zhang L, Wang Z, Shi C, et al. The impact of robustness of deformable image registration on contour propagation and dose accumulation for head and neck adaptive radiotherapy. J Appl Clin Med Phys. 2018;19:185–194.
   PubMed Web of Science ®Google Scholar
• Weistrand O, Svensson S. The ANACONDA algorithm for deformable image registration in radiotherapy. Med Phys. 2015;42:40–53.
   PubMed Web of Science ®Google Scholar
• Johnson PB, Padgett KR, Chen KL, et al. Evaluation of the tool “Reg Refine” for user-guided deformable image registration. J Appl Clin Med Phys. 2016;17:158–170.
   PubMed Web of Science ®Google Scholar
• Velec M, Moseley JL, Svensson S, et al. Validation of biomechanical deformable image registration in the abdomen, thorax and pelvis in a commercial radiotherapy treatment planning system. Med Phys. 2017;44:3407–3417.
   PubMed Web of Science ®Google Scholar
• Cazoulat G, Simon A, Dumenil A, et al. Surface-constrained nonrigid registration for dose monitoring in prostate cancer radiotherapy. IEEE Trans Med Imaging. 2014;33:1464–1474.
   PubMed Web of Science ®Google Scholar
• Qi XS, Santhanam A, Neylon J, et al. Near real-time assessment of anatomic and dosimetric variations for head and neck radiation therapy via graphics processing unit-based dose deformation framework. Int J Radiat Oncol Biol Phys. 2015;92:415–422.
   PubMed Web of Science ®Google Scholar
• Gu X, Dong B, Wang J, et al. A contour-guided deformable image registration algorithm for adaptive radiotherapy. Phys Med Biol. 2013;58:1889.
   PubMed Web of Science ®Google Scholar
• Østergaard Noe K, De Senneville BD, Elstrøm UV, et al. Acceleration and validation of optical flow based deformable registration for image-guided radiotherapy. Acta Oncol. 2008;47:1286–1293.
   PubMed Web of Science ®Google Scholar
• Brock KK, Dawson LA, Sharpe MB, et al. Feasibility of a novel deformable image registration technique to facilitate classification, targeting, and monitoring of tumor and normal tissue. Int J Radiat Oncol Biol Phys. 2006;64:1245–1254.
   PubMed Web of Science ®Google Scholar
• Al-Mayah A, Moseley J, Hunter S, et al. Biomechanical-based image registration for head and neck radiation treatment. Phys Med Biol. 2010;55:6491.
   PubMed Web of Science ®Google Scholar
• Polan DF, Feng M, Lawrence TS, et al. Implementing radiation dose-volume liver response in biomechanical deformable image registration. Int J Radiat Oncol Biol Phys. 2017;99:1004–1012.
   PubMed Web of Science ®Google Scholar
• Qin A, Liang J, Han X, et al. The impact of deformable image registration methods on dose warping. Med Phys. 2018;45:1287–1294.
   PubMed Web of Science ®Google Scholar
• Sharifi H, Zhang H, Bagher-Ebadian H, et al. Utilization of a hybrid finite-element based registration method to quantify heterogeneous tumor response for adaptive treatment for lung cancer patients. Phys Med Biol. 2018;63:065017.
   PubMed Web of Science ®Google Scholar
• Castadot P, Lee JA, Parraga A, et al. Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors. Radiother Oncol. 2008;89:1–12.
   PubMed Web of Science ®Google Scholar
• Hardcastle N, Tomé WA, Cannon DM, et al. A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy. Radiat Oncol. 2012;7:90.
   PubMed Web of Science ®Google Scholar
• Varadhan R, Karangelis G, Krishnan K, et al. A framework for deformable image registration validation in radiotherapy clinical applications. J Appl Clin Med Phys. 2013;14:192–213.
   Web of Science ®Google Scholar
• Li X, Zhang Y, Shi Y, et al. Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck radiotherapy. PLoS One. 2017;12:e0175906.
   PubMed Web of Science ®Google Scholar
• Kashani R, Hub M, Balter JM, et al. Objective assessment of deformable image registration in radiotherapy: a multi-institution study. Med Phys. 2008;35:5944–5953.
   PubMed Web of Science ®Google Scholar
• Kadoya N, Nakajima Y, Saito M, et al. Multi-institutional validation study of commercially available deformable image registration software for thoracic images. Int J Radiat Oncol Biol Phys. 2016;96:422–431.
   PubMed Web of Science ®Google Scholar
• Yeo U, Supple J, Taylor M, et al. Performance of 12 DIR algorithms in low‐contrast regions for mass and density conserving deformation. Med Phys. 2013;40:101701.
   PubMed Web of Science ®Google Scholar
• Mogadas N, Sothmann T, Knopp T, et al. Influence of deformable image registration on 4D dose simulation for extracranial SBRT: a multi-registration framework study. Radiother Oncol. 2018;127:225–232.
   PubMed Web of Science ®Google Scholar
• Ribeiro CO, Knopf A, Langendijk JA, et al. Assessment of dosimetric errors induced by deformable image registration methods in 4D pencil beam scanned proton treatment planning for liver tumours. Radiother Oncol. 2018;128:174–181.
   PubMed Web of Science ®Google Scholar
• Kierkels R, den Otter L, Korevaar E, et al. An automated, quantitative, and case-specific evaluation of deformable image registration in computed tomography images. Phys Med Biol. 2018;63:045026.
   PubMed Web of Science ®Google Scholar
• Murphy K, Van Ginneken B, Reinhardt JM, et al. Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge. IEEE Trans Med Imaging. 2011;30:1901–1920.
   PubMed Web of Science ®Google Scholar
• Vandemeulebroucke J, Sarrut D, Clarysse P, editors. The POPI-model, a point-validated pixel-based breathing thorax model. XV International Conference on the Use of Computers in Radiation Therapy (ICCR); 2007.
   Google Scholar
• Castillo R, Castillo E, Fuentes D, et al. A reference dataset for deformable image registration spatial accuracy evaluation using the COPDgene study archive. Phys Med Biol. 2013;58:2861.
   PubMed Web of Science ®Google Scholar
• Pukala J, Meeks SL, Staton RJ, et al. A virtual phantom library for the quantification of deformable image registration uncertainties in patients with cancers of the head and neck. Med Phys. 2013;40:111703.
   PubMed Web of Science ®Google Scholar
• Brock KK, Consortium D. Results of a multi-institution deformable registration accuracy study (MIDRAS). Int J Radiat Oncol Biol Phys. 2010;76:583–596.
   PubMed Web of Science ®Google Scholar
• Neylon J, Min Y, Low DA, et al. A neural network approach for fast, automated quantification of DIR performance. Med Phys. 2017;44:4126–4138.
   PubMed Web of Science ®Google Scholar
• Paganelli C, Meschini G, Molinelli S, et al. Patient‐specific validation of deformable image registration in radiation therapy: overview and caveats. Med Phys. 2018;45:e908–e922.
   PubMed Web of Science ®Google Scholar