1 |
DEMARINIS S . Cancer overtakes cardiovascular disease as leading cause of death in wealthy nations[J]. Explore, 2020, 16 (1): 6- 7.
doi: 10.1016/j.explore.2019.11.003
|
2 |
PANG Y , LYU J , YU C , et al. Risk factors for cardiovascular disease in the Chinese population: recent progress and implications[J]. Glo Hea J, 2020, 4 (3): 65- 71.
doi: 10.1016/j.glohj.2020.08.004
|
3 |
FRANGI A F , NIESSEN W J , VIERGEVER M A . Three-dimensional modeling for functional analysis of cardiac images: a review[J]. IEEE Trans Med Imaging, 2001, 20 (1): 2- 5.
doi: 10.1109/42.906421
|
4 |
WANG H , AMINI A A . Cardiac motion and deformation recovery from MRI: A Review[J]. IEEE Trans Med Imaging, 2012, 31 (2): 487- 503.
doi: 10.1109/TMI.2011.2171706
|
5 |
ZERHOUNI E A , PARISH D M , ROGERS W J , et al. Human heart: Tagging with MR imaging-A method for noninvasive assessment of myocardial motion[J]. Radiology, 1988, 169 (1): 59- 63.
doi: 10.1148/radiology.169.1.3420283
|
6 |
CHEN T , WANG X , CHUNG S , et al. Automated 3D motion tracking using Gabor filter bank, robust point matching, and deformable models[J]. IEEE Trans Med Imaging, 2009, 29 (1): 1- 11.
|
7 |
LI M , GUPTA H , LLOYD S G , et al. A graph theoretic approach for computing 3D+ time biventricular cardiac strain from tagged MRI data[J]. Med Image Anal, 2017, 35, 46- 57.
doi: 10.1016/j.media.2016.06.006
|
8 |
YU Y , ZHANG S T , LI K , et al. Deformable models with sparsity constraints for cardiac motion analysis[J]. Med Image Anal, 2014, 18 (6): 927- 937.
doi: 10.1016/j.media.2014.03.002
|
9 |
TSADOK Y , FRIEDMAN Z , HALUSKA B A , et al. Myocardial strain assessment by cine cardiac magnetic resonance imaging using non-rigid registration[J]. Magn Reson Imaging, 2016, 34 (4): 381- 390.
doi: 10.1016/j.mri.2015.12.035
|
10 |
SHI P , SINUSAS A J , CONSTABLE R T , et al. Volumetric deformation analysis using mechanics-based data fusion: applications in cardiac motion recovery[J]. Int J Comput Vision, 1999, 35 (1): 87- 107.
doi: 10.1023/A:1008163112590
|
11 |
REMME E W , AUGENSTEIN K F , YOUNG A A , et al. Parameter distribution models for estimation of population based left ventricular deformation using sparse fiducial markers[J]. IEEE Trans Med Imaging, 2005, 24 (3): 381- 388.
doi: 10.1109/TMI.2004.842458
|
12 |
VERESS A I , GULLBERG G T , WEISS J A . Measurement of strain in the left ventricle during diastole with cine-MRI and deformable image registration[J]. J Biomech Eng, 2005, 127 (7): 1195- 1207.
doi: 10.1115/1.2073677
|
13 |
BISTOQUET A , SKRINJAR O M . Left ventricular deformation recovery from cine MRI using a 4d incompressible model[J]. IEEE Trans Med Imaging, 2007, 26 (9): 1136- 1153.
doi: 10.1109/TMI.2007.903693
|
14 |
LIU H F , SHI P C . State-space analysis of cardiac motion with biomechanical constraints[J]. IEEE T Image Process, 2007, 16 (4): 901- 917.
doi: 10.1109/TIP.2007.891773
|
15 |
WONG K C L , WANG L W , ZHANG H Y , et al. Physiological fusion of functional and structural images for cardiac deformation recovery[J]. IEEE Trans Med Imaging, 2011, 30 (4): 990- 1000.
doi: 10.1109/TMI.2011.2105274
|
16 |
QIAO M Y , WANG Y Y , GUO Y , et al. Temporally coherent cardiac motion tracking from cine MRI: traditional registration method and modern CNN method[J]. Med Phys, 2020, 47 (9): 4189- 4198.
doi: 10.1002/mp.14341
|
17 |
TANG J Y, GAN Z Y, YANG X. Cardiac motion tracking in short-axis MRI using siamese convolution network[C]//2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019: 865-870.
|
18 |
ZHANG N , YANG G , GAO Z F , et al. Deep learning for diagnosis of chronic myocardial infarction on nonenhanced cardiac cine MRI[J]. Radiology, 2019, 291 (3): 606- 617.
doi: 10.1148/radiol.2019182304
|
19 |
ZHENG Q , DELINGETTE H , AYACHE N . Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow[J]. Med Image Anal, 2019, 56, 80- 95.
doi: 10.1016/j.media.2019.06.001
|
20 |
MANTILLA J J , PAREDES J L , BELLANGER J J , et al. Discriminative dictionary learning for local LV wall motion classification in cardiac MRI[J]. Expert Syst Appl, 2019, 129, 286- 295.
doi: 10.1016/j.eswa.2019.04.010
|
21 |
SEDERBERG T W , PARRY S R . Free-form deformation of solid geometric models[J]. Siggraph, 1986, 20 (4): 151- 160.
doi: 10.1145/15886.15903
|
22 |
COOTES T F , TAYLOR C J , COOPER D H , et al. Active shape models-their training and application[J]. Comput Vis Image Underst, 1995, 61 (1): 38- 59.
doi: 10.1006/cviu.1995.1004
|
23 |
GONG J C , WANG Y , WANG Y J . A method for segmentation of glioma on multimodal magnetic resonance images based on wavelet fusion and deep learning[J]. Chinese J Magn Reson, 2020, 37 (2): 131- 143.
|
|
宫进昌, 王宇, 王远军. 结合小波融合和深度学习的脑胶质瘤自动分割[J]. 波谱学杂志, 2020, 37 (2): 131- 143.
|
24 |
LIU P , ZHONG Y M , WANG L J . Automatic segmentation of right ventricle in cine cardiac magnetic resonance image based on a dense and multi-scale U-net method[J]. Chinese J Magn Reson, 2020, 37 (4): 456- 468.
|
|
刘鹏, 钟玉敏, 王丽嘉. 基于密集多尺度U-net网络的电影心脏磁共振图像右心室自动分割[J]. 波谱学杂志, 2020, 37 (4): 456- 468.
|
25 |
GUCCIONE J M, MCCULLOCH A D. Finite element modeling of ventricular mechanics[M]. Springer New York, 1991.
|
26 |
PAPADEMETRIS X, SHI P C, DIONE D P, et al. Recovery of soft tissue object deformation from 3D image sequences using biomechanical models[C]//Proceedings of the 16th International Conference on Information Processing in Medical Imaging. Berlin, Heidelberg: Springer, 2000.
|
27 |
SHI P C , SINUSAS A J . Point-tracked quantitative analysis of left ventricular surface motion from 3-D image sequences[J]. IEEE Trans Med Imaging, 2000, 19 (1): 36- 50.
doi: 10.1109/42.832958
|
28 |
PAPADEMETRIS , XENOPHON , SINUSAS , et al. Estimation of 3-D left ventricular deformation from medical images using biomechanical models[J]. IEEE Trans Med Imaging, 2002, 21 (7): 786- 800.
doi: 10.1109/TMI.2002.801163
|
29 |
杨桂通. 弹性力学[M]. 第2版 高等教育出版社, 2012.
|
30 |
GEMAN S , GERMAN D . Stochastic relaxation, gibbs distributions and the Bayesian restoration of images[J]. IEEE Trans Pattern Anal Mach Intell, 1984, 6, 721- 741.
|
31 |
ZHANG H Y , GAO Z , XU L , et al. A meshfree representation for cardiac medical image computing[J]. IEEE J Transl Eng He, 2018, 6, 1- 12.
|
32 |
李亚智. 有限元法基础与程序设计[M]. 科学出版社, 2004.
|