21.11.3 Magnetic Resonance Imaging, Registration, Alignment, Fusion

Sumanaweera, T.S., Glover, G.H., Binford, T.O., Adler, J.R.,
MR susceptibility misregistration correction,
MedImg(12), No. 2, June 1993, pp. 251-259.
IEEE Top Reference. BibRef 9306

Alexander, M.E.,
Fast hierarchical noniterative registration algorithm,
IJIST(10), No. 3, 1999, pp. 242-257. MRI DAta BibRef 9900

Buelow, H., Dooley, L., Wermser, D.,
Application of principal axes for registration of NMR image sequences,
PRL(21), No. 3, March 2000, pp. 329-336. 0004
BibRef

Krueger, S., Wolff, S., Schmitgen, A., Timinger, H., Bublat, M., Schaeffter, T., Nabavi, A.,
Fast and Accurate Automatic Registration for MR-Guided Procedures Using Active Microcoils,
MedImg(26), No. 3, March 2007, pp. 385-392.
IEEE DOI 0703
BibRef

Jager, F., Hornegger, J.,
Nonrigid Registration of Joint Histograms for Intensity Standardization in Magnetic Resonance Imaging,
MedImg(28), No. 1, January 2009, pp. 137-150.
IEEE DOI 0901
BibRef

Ingalhalikar, M.[Madhura], Yang, J.Z.[Jin-Zhong], Davatzikos, C.[Christos], Verma, R.[Ragini],
DTI-DROID: Diffusion tensor imaging-deformable registration using orientation and intensity descriptors,
IJIST(20), No. 2, June 2010, pp. 99-107.
DOI Link 1006
BibRef

Mahapatra, D.[Dwarikanath], Sun, Y.[Ying],
Rigid Registration of Renal Perfusion Images Using a Neurobiology-Based Visual Saliency Model,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1003
BibRef

Mahapatra, D.[Dwarikanath], Sun, Y.[Ying],
Integrating Segmentation Information for Improved MRF-Based Elastic Image Registration,
IP(21), No. 1, January 2012, pp. 170-183.
IEEE DOI 1112
BibRef

Mahapatra, D.,
Analyzing Training Information From Random Forests for Improved Image Segmentation,
IP(23), No. 4, April 2014, pp. 1504-1512.
IEEE DOI 1404
graph theory BibRef

Geng, X., Ross, T.J., Gu, H., Shin, W., Zhan, W., Chao, Y.P., Lin, C.P., Schuff, N., Yang, Y.,
Diffeomorphic Image Registration of Diffusion MRI Using Spherical Harmonics,
MedImg(30), No. 3, March 2011, pp. 747-758.
IEEE DOI 1103
BibRef

Liu, X., Abd-Elmoniem, K.Z., Stone, M., Murano, E.Z., Zhuo, J., Gullapalli, R.P., Prince, J.L.,
Incompressible Deformation Estimation Algorithm (IDEA) From Tagged MR Images,
MedImg(31), No. 2, February 2012, pp. 326-340.
IEEE DOI 1202
BibRef

Lee, D.H.[Dong-Hoon], Hong, C.P.[Cheol-Pyo], Lee, M.W.[Man-Woo], Han, B.S.[Bong-Soo],
A simple auto prescan calibration method for multislice fast spin echo MRI,
IJIST(23), No. 4, 2013, pp. 289-293.
DOI Link 1312
fast spin echo BibRef

Rivaz, H., Karimaghaloo, Z., Fonov, V.S., Collins, D.L.,
Nonrigid Registration of Ultrasound and MRI Using Contextual Conditioned Mutual Information,
MedImg(33), No. 3, March 2014, pp. 708-725.
IEEE DOI 1404
biomedical MRI BibRef

Gomez, A.D., Merchant, S.S., Hsu, E.W.,
Accurate High-Resolution Measurements of 3-D Tissue Dynamics With Registration-Enhanced Displacement Encoded MRI,
MedImg(33), No. 6, June 2014, pp. 1350-1362.
IEEE DOI 1407
Displacement measurement BibRef

Poot, D.H.J., Klein, S.,
Detecting Statistically Significant Differences in Quantitative MRI Experiments, Applied to Diffusion Tensor Imaging,
MedImg(34), No. 5, May 2015, pp. 1164-1176.
IEEE DOI 1505
Approximation methods BibRef

Huynh, T.[Tri], Gao, Y.Z.[Yao-Zong], Kang, J.Y.[Jia-Yin], Wang, L.[Li], Zhang, P.[Pei], Lian, J., Shen, D.G.[Ding-Gang],
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model,
MedImg(35), No. 1, January 2016, pp. 174-183.
IEEE DOI 1601
BibRef
Earlier: A1, A2, A3, A4, A5, A7, Only:
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data,
MLMI15(321-329).
Springer DOI 1511
Bones BibRef

Pilutti, D., Strumia, M., Büchert, M., Hadjidemetriou, S.,
Non-Parametric Bayesian Registration (NParBR) of Body Tumors in DCE-MRI Data,
MedImg(35), No. 4, April 2016, pp. 1025-1035.
IEEE DOI 1604
Bayes methods BibRef

Cordier, N.[Nicolas], Delingette, H.[Hervé], Lê, M.[Matthieu], Ayache, N.J.[Nicholas J.],
Extended Modality Propagation: Image Synthesis of Pathological Cases,
MedImg(35), No. 12, December 2016, pp. 2598-2608.
IEEE DOI 1612
Brain modeling BibRef

Pradhan, S., Patra, D.,
Enhanced mutual information based medical image registration,
IET-IPR(10), No. 5, 2016, pp. 418-427.
DOI Link 1604
biomedical MRI BibRef

Pinto, C.H.V.[Carlos H. Villa], Ferrari, R.J.[Ricardo José],
Initialization of deformable models in 3D magnetic resonance images guided by automatically detected phase congruency point landmarks,
PRL(79), No. 1, 2016, pp. 1-7.
Elsevier DOI 1608
MRI BibRef

Paiement, A., Mirmehdi, M., Xie, X., Hamilton, M.C.K.,
Registration and Modeling From Spaced and Misaligned Image Volumes,
IP(25), No. 9, September 2016, pp. 4379-4393.
IEEE DOI 1609
biomedical MRI BibRef

Shenoy, R., Shih, M.C., Rose, K.,
Deformable Registration of Biomedical Images Using 2D Hidden Markov Models,
IP(25), No. 10, October 2016, pp. 4631-4640.
IEEE DOI 1610
biomedical MRI BibRef

Hédouin, R., Commowick, O., Bannier, E., Scherrer, B., Taquet, M., Warfield, S.K., Barillot, C.,
Block-Matching Distortion Correction of Echo-Planar Images With Opposite Phase Encoding Directions,
MedImg(36), No. 5, May 2017, pp. 1106-1115.
IEEE DOI 1705
Computational modeling, Encoding, Magnetic resonance imaging, Nonhomogeneous media, Nonlinear distortion, Block-matching, diffusion MRI, echo planar imaging, registration BibRef

Wang, Y., Zheng, Q., Heng, P.A.,
Online Robust Projective Dictionary Learning: Shape Modeling for MR-TRUS Registration,
MedImg(37), No. 4, April 2018, pp. 1067-1078.
IEEE DOI 1804
Data models, Dictionaries, Robustness, Shape, Training data, Dictionary learning, MR-TRUS registration, dimension reduction, shape modelling BibRef

Singh, S.[Sneha], Anand, R.S.[Radhey Shyam], Gupta, D.[Deep],
CT and MR image information fusion scheme using a cascaded framework in ripplet and NSST domain,
IET-IPR(12), No. 5, May 2018, pp. 696-707.
DOI Link 1804
BibRef

Cao, X., Yang, J., Gao, Y., Wang, Q., Shen, D.,
Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis,
IP(27), No. 7, July 2018, pp. 3500-3512.
IEEE DOI 1805
Bidirectional control, Biological tissues, Computed tomography, Image generation, Image registration, Magnetic resonance imaging, radiation therapy BibRef

Chambers, O., Milenkovic, J., Tasic, J.F.,
A pre-processing scheme for real-time registration of dynamic contrast-enhanced magnetic resonance images,
RealTimeIP(14), No. 4, April 2018, pp. 763-772.
WWW Link. 1805
BibRef

Mohseni Salehi, S.S., Khan, S., Erdogmus, D., Gholipour, A.,
Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration,
MedImg(38), No. 2, February 2019, pp. 470-481.
IEEE DOI 1902
Pose estimation, Magnetic resonance imaging, Solid modeling, Real-time systems, fetal MRI BibRef

Duan, C.[Chang], Wang, S.[Shuai], Huang, Q.[Qihong], Wen, T.[Tao], Zhu, C.[Ce], Xu, Y.Y.[Yuan-Yuan],
Feature level MRI fusion based on 3D dual tree compactly supported Shearlet transform,
JVCIR(60), 2019, pp. 319-327.
Elsevier DOI 1903
Medical image fusion, Shearlet transform, Structure tensor BibRef

Ch, M.M.I.[M. Munawwar Iqbal], Riaz, M.M.[M. Mohsin], Iltaf, N.[Naima], Ghafoor, A.[Abdul], Sadiq, M.A.[Muhammad Attique],
Magnetic resonance and computed tomography image fusion using saliency map and cross bilateral filter,
SIViP(13), No. 6, September 2019, pp. 1157-1164.
Springer DOI 1908
BibRef

El Mansouri, O., Vidal, F., Basarab, A., Payoux, P., Kouamé, D., Tourneret, J.,
Fusion of Magnetic Resonance and Ultrasound Images for Endometriosis Detection,
IP(29), 2020, pp. 5324-5335.
IEEE DOI 2004
Spatial resolution, Magnetic resonance imaging, Image fusion, Diseases, Magnetic resonance, Image fusion, proximal alternating linearized minimization BibRef

Panigrahy, C., Seal, A., Mahato, N.K.,
MRI and SPECT Image Fusion Using a Weighted Parameter Adaptive Dual Channel PCNN,
SPLetters(27), 2020, pp. 690-694.
IEEE DOI 2005
Neurons, Single photon emission computed tomography, Magnetic resonance imaging, Image fusion, Transforms, weighted parameter adaptive dual channel pulse coupled neural network BibRef

Bhateja, V.[Vikrant], Nigam, M.[Mansi], Bhadauria, A.S.[Anuj Singh], Arya, A.[Anu],
Two-stage multi-modal MR images fusion method based on Parametric Logarithmic Image Processing (PLIP) Model,
PRL(136), 2020, pp. 25-30.
Elsevier DOI 2008
MRI, HVS, PLIP BibRef

Yang, H., Sun, J., Carass, A., Zhao, C., Lee, J., Prince, J.L., Xu, Z.,
Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN,
MedImg(39), No. 12, December 2020, pp. 4249-4261.
IEEE DOI 2012
Channel estimation, Antenna arrays, MIMO communication, Matching pursuit algorithms, 5G mobile communication, MIND BibRef

Huang, W.J.[Wei-Jian], Yang, H.[Hao], Liu, X.F.[Xin-Feng], Li, C.[Cheng], Zhang, I.[Ian], Wang, R.P.[Rong-Pin], Zheng, H.R.[Hai-Rong], Wang, S.S.[Shan-Shan],
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint,
MedImg(40), No. 10, October 2021, pp. 2589-2599.
IEEE DOI 2110
Image registration, Optimization, Biomedical imaging, Strain, Task analysis, Lesions, Transforms, Medical image analysis, unsupervised deep learning BibRef

Küstner, T.[Thomas], Pan, J.Z.[Jia-Zhen], Qi, H.[Haikun], Cruz, G.[Gastao], Gilliam, C.[Christopher], Blu, T.[Thierry], Yang, B.[Bin], Gatidis, S.[Sergios], Botnar, R.[René], Prieto, C.[Claudia],
LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging,
MedImg(40), No. 12, December 2021, pp. 3686-3697.
IEEE DOI 2112
Image reconstruction, Imaging, Optical filters, Optical flow, motion correction BibRef

Wang, R.[Runze], Zheng, G.[Guoyan],
Disentangled Representation Learning for Deep MR To CT Synthesis Using Unpaired Data,
ICIP21(274-278)
IEEE DOI 2201
Geometry, Training, GSM, Computed tomography, Image processing, Imaging, MR-to-CT synthesis, Context information BibRef

Hoffmann, M.[Malte], Billot, B.[Benjamin], Greve, D.N.[Douglas N.], Iglesias, J.E.[Juan Eugenio], Fischl, B.[Bruce], Dalca, A.V.[Adrian V.],
SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images,
MedImg(41), No. 3, March 2022, pp. 543-558.
IEEE DOI 2203
Training, Magnetic resonance imaging, Strain, Shape, Neuroimaging, Measurement, Deformable image registration, data independence, MRI-contrast invariance BibRef

Zhang, F.[Fan], Wells, W.M.[William M.], O'Donnell, L.J.[Lauren J.],
Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration,
MedImg(41), No. 6, June 2022, pp. 1454-1467.
IEEE DOI 2206
White matter, Strain, Deep learning, Image registration, Brain modeling, Anatomical structure, Image registration, tractography BibRef

Zhang, F.[Fan], Cho, K.I.K.[Kang Ik Kevin], Seitz-Holland, J.[Johanna], Ning, L.P.[Li-Ping], Legarreta, J.H.[Jon Haitz], Rathi, Y.[Yogesh], Westin, C.F.[Carl-Fredrik], O'Donnell, L.J.[Lauren J.], Pasternak, O.[Ofer],
DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI,
MedImg(43), No. 3, March 2024, pp. 1191-1202.
IEEE DOI 2403
Magnetic resonance imaging, Deep learning, Biomedical imaging, Protocols, Optical fiber networks, National Institutes of Health, diffusion MRI BibRef

Cheung, C.L.[Chim-Lee], Wu, M.J.[Meng-Jie], Fang, G.[Ge], Ho, J.D.L.[Justin D. L.], Liang, L.Y.[Li-Yuan], Tan, K.V.[Kel Vin], Lin, F.H.[Fa-Hsuan], Chang, H.C.[Hing-Chiu], Kwok, K.W.[Ka-Wai],
Omnidirectional Monolithic Marker for Intra-Operative MR-Based Positional Sensing in Closed MRI,
MedImg(43), No. 1, January 2024, pp. 439-448.
IEEE DOI 2401
BibRef

Zhong, L.M.[Li-Ming], Chen, Z.[Zeli], Shu, H.[Hai], Zheng, K.Y.[Kai-Yi], Li, Y.[Yin], Chen, W.[Weicui], Wu, Y.K.[Yuan-Kui], Ma, J.H.[Jian-Hua], Feng, Q.J.[Qian-Jin], Yang, W.[Wei],
Multi-Scale Tokens-Aware Transformer Network for Multi-Region and Multi-Sequence MR-to-CT Synthesis in a Single Model,
MedImg(43), No. 2, February 2024, pp. 794-806.
IEEE DOI 2402
Computed tomography, Transformers, Computational modeling, Head, Bones, Biomedical imaging, Neck, MR-to-CT synthesis, transformer, multi-center analysis BibRef

Yu, H.[Hu], Zheng, Q.[Qiang], Hu, F.[Fang], Ma, C.Q.[Chao-Qing], Wang, S.[Shuo], Wang, S.[Shuai],
MSCAReg-Net: Multi-scale complexity-aware convolutional neural network for deformable image registration,
IET-IPR(18), No. 4, 2024, pp. 839-855.
DOI Link 2403
biomedical MRI, convolutional neural nets, image registration, medical image processing, unsupervised learning BibRef

Liu, Y.M.[Yi-Ming], Zhang, M.X.[Meng-Xi], Jiang, B.[Bo], Hou, B.[Bo], Liu, D.[Dan], Chen, J.[Jie], Lian, H.Q.[He-Qing],
Flexible Alignment Super-Resolution Network for Multi-Contrast Magnetic Resonance Imaging,
MultMed(26), 2024, pp. 5159-5169.
IEEE DOI 2404
Superresolution, Magnetic resonance imaging, Semantics, Feature extraction, Hafnium, Task analysis, Image reconstruction, reference-based image super-resolution BibRef

Zhong, Y.T.[Yu-Tian], Zhang, S.[Shuangyang], Liu, Z.Y.[Zhen-Yang], Zhang, X.M.[Xiao-Ming], Mo, Z.X.[Zong-Xin], Zhang, Y.Z.[Yi-Zhe], Hu, H.Y.[Hao-Yu], Chen, W.F.[Wu-Fan], Qi, L.[Li],
Unsupervised Fusion of Misaligned PAT and MRI Images via Mutually Reinforcing Cross-Modality Image Generation and Registration,
MedImg(43), No. 5, May 2024, pp. 1702-1714.
IEEE DOI 2405
Magnetic resonance imaging, Image fusion, Image synthesis, Biological tissues, Image registration, Kernel, Feature extraction, multimodal registration BibRef

Ghoul, A.[Aya], Pan, J.Z.[Jia-Zhen], Lingg, A.[Andreas], Kübler, J.[Jens], Krumm, P.[Patrick], Hammernik, K.[Kerstin], Rueckert, D.[Daniel], Gatidis, S.[Sergios], Küstner, T.[Thomas],
Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging,
MedImg(43), No. 8, August 2024, pp. 3013-3026.
IEEE DOI Code:
WWW Link. 2408
BibRef

Barzilay, N.[Noa], Nelkenbaum, I.[Ilya], Konen, E.[Eli], Kiryati, N.[Nahum], Mayer, A.[Arnaldo],
Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI,
MCV22(252-267).
Springer DOI 2304
BibRef

Shin, J.[Jiyoon], Lee, J.[Jungwoo],
MRI Imputation based on Fused Index- and Intensity-Registration,
WACV23(1948-1957)
IEEE DOI 2302
Visualization, Biomedical equipment, Magnetic resonance imaging, Medical services, Indexes, image and video synthesis BibRef

Grzech, D.[Daniel], Azampour, M.F.[Mohammad Farid], Glocker, B.[Ben], Schnabel, J.[Julia], Navab, N.[Nassir], Kainz, B.[Bernhard], Folgoc, L.L.[Loïc Le],
A variational Bayesian method for similarity learning in non-rigid image registration,
CVPR22(119-128)
IEEE DOI 2210
Measurement, Image registration, Uncertainty, Biological system modeling, Magnetic resonance imaging, Self- semi- meta- unsupervised learning BibRef

Debroux, N.[Noémie], Lienemann, G.[Guillaume], Magnin, B.[Benoît], Guyader, C.L.[Carole Le], Vacavant, A.[Antoine],
A Time-Dependent Joint Segmentation and Registration Model: Application to Longitudinal Registration of Hepatic DCE-MRI Sequences,
IPTA20(1-6)
IEEE DOI 2206
Viscosity, Image segmentation, Shape, Computational modeling, Mathematical model, Task analysis, Strain, registration, hepatic DCE-MRI sequences BibRef

He, Z., Chung, A.C.S.,
Unsupervised End-To-End Groupwise Registration Framework Without Generating Templates,
ICIP20(375-379)
IEEE DOI 2011
Strain, Training, Task analysis, Magnetic resonance imaging, Convolution, Loss measurement, multi-step refinement BibRef

Sindel, A., Breininger, K., Käßer, J., Hess, A., Maier, A., Köhler, T.,
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests,
ICIP18(1453-1457)
IEEE DOI 1809
Magnetic resonance imaging, Spatial resolution, Training, Image edge detection, Super-resolution, MRI BibRef

Pichat, J., Iglesias, J.E., Nousias, S., Yousry, T.,
Part-to-Whole Registration of Histology and MRI Using Shape Elements,
BioIm17(107-115)
IEEE DOI 1802
Image registration, Reliability, Shape BibRef

Ebner, M.[Michael], Chouhan, M.[Manil], Patel, P.A.[Premal A.], Atkinson, D.[David], Amin, Z.[Zahir], Read, S.[Samantha], Punwani, S.[Shonit], Taylor, S.[Stuart], Vercauteren, T.[Tom], Ourselin, S.[Sébastien],
Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution,
RAMBO16(3-13).
Springer DOI 1703
BibRef

Hu, C.X.[Chen-Xi], Reeves, S.J.[Stanley J.],
A regularized trust region method for joint reconstruction of spin magnitude, T2* decay, and off-resonance field map,
ICIP14(1882-1886)
IEEE DOI 1502
Approximation algorithms BibRef

Sweet, A.[Andrew], Pennec, X.[Xavier],
Log-Domain Diffeomorphic Registration of Diffusion Tensor Images,
WBIR10(198-209).
Springer DOI 1007
BibRef

Aktar, M.N., Alam, M.J., Pickering, M.R.,
A Non-Rigid 3D Multi-Modal Registration Algorithm Using Partial Volume Interpolation and the Sum of Conditional Variance,
DICTA14(1-7)
IEEE DOI 1502
affine transforms BibRef

Aktar, M.N., Alam, M.J., Lambert, A.J., Pickering, M.R.,
Robust 3D Multi-Modal Registration of MRI Volumes Using the Sum of Conditional Variance,
DICTA13(1-5)
IEEE DOI 1402
biomedical MRI BibRef

Iwamoto, Y.[Yutaro], Han, X.H.[Xian-Hua], Sasatani, S.[So], Taniguchi, K.[Kazuki], Xiong, W.[Wei], Chen, Y.W.[Yen-Wei],
Super-resolution of MR volumetric images using sparse representation and self-similarity,
ICPR12(3758-3761).
WWW Link. 1302
BibRef

Liu, W.[Wei], Liu, X.Z.[Xiao-Zheng], He, X.F.[Xiao-Fu], Zhou, Z.Y.[Zhen-Yu], Wen, Y.[Ying], Zhou, Y.D.[Yong-Di], Peterson, B.S.[Bradley S.], Xu, D.R.[Dong-Rong],
Spatial Normalization of Diffusion Tensor Images with Voxel-Wise Reconstruction of the Diffusion Gradient Direction,
MBIA12(134-146).
Springer DOI 1210
BibRef

Ruthotto, L.[Lars], Hodneland, E.[Erlend], Modersitzki, J.[Jan],
Registration of Dynamic Contrast Enhanced MRI with Local Rigidity Constraint,
WBIR12(190-198).
Springer DOI 1208
BibRef

Li, S.T.[Shu-Tao], Deng, S.C.[Sheng-Chu], Peng, J.L.[Jing-Lin],
A Comparison of Similarity Measures for 2D Rigid MR Image Registration Using Wavelet Transform,
PSIVT06(270-279).
Springer DOI 0612
BibRef

Singh, M.[Meghna], Mandal, M.K.[Mrinal K.], Basu, A.[Anup],
Confidence Measure for Temporal Registration of Recurrent Non-uniform Samples,
PReMI07(608-615).
Springer DOI 0712
BibRef
Earlier: A1, A3, A2:
Temporal Alignment of Time Varying MRI Datasets for High Resolution Medical Visualization,
ISVC06(I: 222-231).
Springer DOI 0611
BibRef

Singh, M., Thompson, R., Basu, A., Rieger, J., Mandal, M.K.,
Image Based Temporal Registration of MRI Data for Medical Visualization,
ICIP06(1169-1172).
IEEE DOI 0610
BibRef

Cheng, I.[Irene], Nilufar, S.[Sharmin], Basu, A.[Anup], Goebel, R.[Randy],
Shape Tracking and Registration for 4D Visualization of MRI and Structure,
ISVC06(I: 253-262).
Springer DOI 0611
BibRef

Sun, Y.[Ying], Jolly, M.P., Moura, J.M.F.,
Integrated registration of dynamic renal perfusion MR images,
ICIP04(III: 1923-1926).
IEEE DOI 0505
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Dynamic Magnetic Resonance Imaging, Motion in MRI .