Fast elastic registration of soft tissues under large deformations

Antiga, 2003, Centerline computation and geometric analysis of branching tubular surfaces with application to blood vessel modeling, 4 Bano, 2013, Registration of preoperative liver model for laparoscopic surgery from intraoperative 3D acquisition, Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), 8090 LNCS, 201 Benckert, 2014, The surgeon’s contribution to image-guided oncology, Visceral Med., 30, 232, 10.1159/000366458 Boltcheva, 2009, Mesh generation from 3D multi-material images Brock, 2005, Accuracy of finite element model-based multi-organ deformable image registration, Med. Phys., 32, 1647, 10.1118/1.1915012 Cash, 2005, Compensating for intraoperative soft-tissue deformations using incomplete surface data and finite elements, IEEE Trans. Med. Imaging, 24, 1479, 10.1109/TMI.2005.855434 Chan, 2017, Target localization of 3d versus 4d cone beam computed tomography in lipiodol-guided stereotactic radiotherapy of hepatocellular carcinomas, PloS One, 12, e0174929, 10.1371/journal.pone.0174929 Charnoz, 2005, Liver registration for the follow-up of hepatic tumors, 155 Chen, 2007, Non-rigid mr-ct image registration for mr-guided liver cancer surgery, 1756 Cheung, 2010, Fused video and ultrasound images for minimally invasive partial nephrectomy: a phantom study, 408 Christ, 2017, Automatic liver and tumor segmentation of ct and mri volumes using cascaded fully convolutional neural networks, arXiv preprint Clements, 2008, Robust surface registration using salient anatomical features for image-guided liver surgery: algorithm and validation, Med. Phys., 35, 2528, 10.1118/1.2911920 Clements, 2016, Evaluation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound, J. Med. Imaging, 3, 10.1117/1.JMI.3.1.015003 Crum, 2004, Non-rigid image registration: theory and practice, Br. J. Radiol., 77, S140, 10.1259/bjr/25329214 Crum, 2014, Non-rigid image registration: theory and practice, Br. J. Radiol., 77, 140, 10.1259/bjr/25329214 Eccles, 2016, Intravenous contrast-enhanced cone beam computed tomography (IVCBCT) of intrahepatic tumors and vessels, Adv. Radiation Oncol., 1, 43, 10.1016/j.adro.2016.01.001 Eisenhauer, 2009, New response evaluation criteria in solid tumours: revised recist guideline (version 1.1), Eur. J. Cancer, 45, 228, 10.1016/j.ejca.2008.10.026 Elhawary, 2010, Multimodality non-rigid image registration for planning, targeting and monitoring during ct-guided percutaneous liver tumor cryoablation, Acad Radiol., 17, 1334, 10.1016/j.acra.2010.06.004 Enquobahrie, 2007, Vessel enhancing diffusion filter, Insight J., 1, 1 Faure, 2012, SOFA: A multi-model framework for interactive physical simulation, 283 Feldkamp, 1984, Practical cone-beam algorithm, JOSA A., 1, 612, 10.1364/JOSAA.1.000612 Foruzan, 2015, Multimodality liver registration of open-mr and ct scans, Int. J. Comput. Assist. Radiol. Surg., 10, 1253, 10.1007/s11548-014-1139-0 Grimson, 1996, An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization, IEEE Trans. Medical Imaging, 15, 129, 10.1109/42.491415 Heizmann, 2010, Assessment of intraoperative liver deformation during hepatic resection: prospective clinical study, World J. Surg., 34, 10.1007/s00268-010-0561-x Hill, 2001, Medical image registration, Phys. Med. Biol., 46, R1, 10.1088/0031-9155/46/3/201 Ikeda, 2013, Pure laparoscopic hepatectomy in semiprone position for right hepatic major resection, J. Hepatobiliary Pancreat. Sci., 20, 145, 10.1007/s00534-012-0558-y Jarnagin, 2017, Toward integrated image guided liver surgery Jones, 2014, Optimized dynamic contrast-enhanced cone-beam CT for target visualization during liver SBRT, 489, 012035 Kaus, 2007, Assessment of a model-based deformable image registration approach for radiation therapy planning, Int. J. Radiation Oncol.* Biol.* Phys., 68, 572, 10.1016/j.ijrobp.2007.01.056 Kenngott, 2014, Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative ct imaging, Surg. Endosc., 28, 933, 10.1007/s00464-013-3249-0 Khalifa, 2011, State-of-the-art medical image registration methodologies: A survey, 235 Lange, 2008, Validation metrics for non-rigid registration of medical images containing vessel trees, 82 Lee, 2015, Evaluation of five image registration tools for abdominal CT: Pitfalls and opportunities with soft anatomy Li, 2014, Automated liver segmentation method for CBCT dataset by combining sparse shape composition and probabilistic atlas construction, Med. Phys., 41 Li, 2012, Automated liver segmentation for cone beam ct dataset by probabilistic atlas construction, 195, 583 Maintz, 1998, A survey of medical image registration, Med. Image Anal., 2, 1, 10.1016/S1361-8415(01)80026-8 de Manuel, 2014, Organ-focused mutual information for nonrigid multimodal registration of liver CT and Gd–EOB–DTPA-enhanced MRI, Med. Image Anal., 18, 22, 10.1016/j.media.2013.09.002 Marami, 2011, Model-based deformable registration of preoperative 3D to intraoperative low-resolution 3D and 2D sequences of MR images, MICCAI 2011, 460 Marchesseau, 2010, Fast porous visco-hyperelastic soft tissue model for surgery simulation: application to liver surgery, Prog. Biophys. Mol. Biol., 103 Mattes, 2003, Pet-ct image registration in the chest using free-form deformations, IEEE Trans. Med. Imag., 22, 120, 10.1109/TMI.2003.809072 Meinzer, 2002, Computerized planning of liver surgery—an overview, Computers Graphics, 26, 569, 10.1016/S0097-8493(02)00102-4 Modat, 2009, A parallel-friendly normalized mutual information gradient for free-form registration, Proc. SPIE, 7259, 10.1117/12.811588 Modat, 2010, Fast free-form deformation using graphics processing units., Comput. Methods Programs Biomed., 98, 10.1016/j.cmpb.2009.09.002 Mulholland, 2014 Müller, 2002, Stable real-time deformations, 49 Murphy, 2011, Evaluation of registration methods on thoracic ct: the empire10 challenge, IEEE Trans. Med. Imag., 30, 1901, 10.1109/TMI.2011.2158349 Nesme, 2005, Efficient, physically plausible finite elements, 77 Nicolau, 2011, Augmented reality in laparoscopic surgical oncology, Surg. Oncol., 20, 189, 10.1016/j.suronc.2011.07.002 Nocedal, 2006, Numerical Optimization Oktay, 2013, Biomechanically driven registration of pre- to intra-operative 3D images for laparoscopic surgery, Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), 8150 LNCS, 1 Peterlik, 2011, Constraint-based haptic rendering of multirate compliant mechanisms, IEEE Trans. Haptics, 4, 175, 10.1109/TOH.2011.41 Plantefève, 2016, Patient-specific biomechanical modeling for guidance during minimally-invasive hepatic surgery, Ann. Biomed. Eng., 44, 139, 10.1007/s10439-015-1419-z Popuri, 2010, Fast FEM-based non-rigid registration, 378 Reinertsen, 2007, Clinical validation of vessel-based registration for correction of brain-shift, Med. Image Anal., 11, 673, 10.1016/j.media.2007.06.008 Rieder, 2012, Automatic alignment of pre-and post-interventional liver ct images for assessment of radiofrequency ablation Rohlfing, 2003, Nonrigid image registration in shared-memory multiprocessor environments with application to brains, breasts, and bees, IEEE Trans. Inf. Technol. Biomed, 7, 16, 10.1109/TITB.2003.808506 Rohlfing, 2003, Volume-preserving nonrigid registration of mr breast images using free-form deformation with an incompressibility constraint, IEEE Trans. Med. Imag., 22, 730, 10.1109/TMI.2003.814791 Rohrer, 2008, Parallel mutual information based 3D non-rigid registration on a multi-core platform, 12 Ručka, 2017, Fast reconstruction of image deformation field using radial basis function, 1146 Rucker, 2013, A mechanics-Based nonrigid registration method for liver surgery using sparse intraoperative data, IEEE Trans. Med. Imaging, 33, 1 Rucker, 2013, Nonrigid liver registration for image-guided surgery using partial surface data: A novel iterative approach Rueckert, 2015, Non-rigid registration using free-form deformations, 277 Rueckert, 1999, Nonrigid registration using free-form deformations: application to breast mr images, IEEE Trans. Med. Imag., 18, 712, 10.1109/42.796284 Rusinkiewicz, 2001, Efficient variants of the ICP algorithm, 145 dos Santos, 2014, Pose-independent surface matching for intra-operative soft-tissue marker-less registration, Med. Image Anal., 18, 1101, 10.1016/j.media.2014.06.002 Sharp, 2007, Gpu-based streaming architectures for fast cone-beam ct image reconstruction and demons deformable registration, Phys. Med. Biol., 52, 5771, 10.1088/0031-9155/52/19/003 Shekhar, 2010, Live augmented reality: a new visualization method for laparoscopic surgery using continuous volumetric computed tomography, Surg. Endosc., 24, 1976, 10.1007/s00464-010-0890-8 Simpson, 2012, Model-Assisted Image-Guided Liver Surgery Using Sparse Intraoperative Data, 7 Song, 2014, Multi-modality liver image registration based on multilevel B-splines free-form deformation and L-BFGS optimal algorithm, J. Central South University, 21, 287, 10.1007/s11771-014-1939-y Sotiras, 2013, Deformable medical image registration: A survey, IEEE Trans. Medical Imaging, 32, 1153, 10.1109/TMI.2013.2265603 Speidel, 2011, Intraoperative surface reconstruction and biomechanical modeling for soft tissue registration, Scath. Net, 1 Strasberg, 2005, Nomenclature of hepatic anatomy and resections: a review of the brisbane 2000 system, J. Hepatobiliary Pancreat. Sci., 12, 351, 10.1007/s00534-005-0999-7 Suwelack, 2014, Physics-based shape matching for intraoperative image guidance, Med. Phys., 41, 111901, 10.1118/1.4896021 Suwelack, 2012, Quadratic corotated finite elements for real-time soft tissue registration, 39 Tang, 2010, MR-guided liver cancer surgery by nonrigid registration, 113 Thévenaz, 2000, Optimization of mutual information for multiresolution image registration, IEEE Trans. Image Process., 9, 2083, 10.1109/83.887976 Tsutsumi, 2013, Image-guided laparoscopic surgery in an open MRI operating theater, Surg. Endosc., 27, 2178, 10.1007/s00464-012-2737-y Uchida, 2014, Recent advances in 3d computed tomography techniques for simulation and navigation in hepatobiliary pancreatic surgery, J. Hepatobiliary Pancreat. Sci., 21, 239, 10.1002/jhbp.82 Vagvolgyi, 2008, Video to CT registration for image overlay on solid organs, Proc. Augmented Reality in Medical Imaging and Augmented Reality in Computer-Aided Surgery (AMIARCS), 78 Verscheure, 2013, Three-dimensional skeletonization and symbolic description in vascular imaging: preliminary results, Int. J. Comput. Assist Radiol. Surg., 8, 233, 10.1007/s11548-012-0784-4 Wakabayashi, 2015, Recommendations for laparoscopic liver resection: a report from the second international consensus conference held in morioka, Ann. Surg., 261, 619 Wittek, 2009, On the unimportance of constitutive models in computing brain deformation for image-guided surgery, Biomech. Model Mechanobiol., 8, 77, 10.1007/s10237-008-0118-1 Wu, 2014, Registration of liver images to minimally invasive intraoperative surface and subsurface data Yushkevich, 2006, User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability, Neuroimage, 31, 1116, 10.1016/j.neuroimage.2006.01.015