Fully Automatic Localization and Segmentation of Intervertebral Disc from 3D Multi-modality MR Images by Regression Forest and CNN

Author(s):  
Xing Ji ◽  
Guoyan Zheng ◽  
Li Liu ◽  
Dong Ni
PLoS ONE ◽  
2015 ◽  
Vol 10 (11) ◽  
pp. e0143327 ◽  
Author(s):  
Chengwen Chu ◽  
Daniel L. Belavý ◽  
Gabriele Armbrecht ◽  
Martin Bansmann ◽  
Dieter Felsenberg ◽  
...  

Author(s):  
Blanca Zufiria ◽  
Maialen Stephens ◽  
Maria Jesus Sanchez ◽  
Jesus Ruiz-Cabello ◽  
Karen Lopez-Linares ◽  
...  

2017 ◽  
Vol 56 (6) ◽  
pp. 1053-1062 ◽  
Author(s):  
Li Kuo Tan ◽  
Yih Miin Liew ◽  
Einly Lim ◽  
Yang Faridah Abdul Aziz ◽  
Kok Han Chee ◽  
...  

2018 ◽  
Vol 12 (8) ◽  
pp. 1629-1637 ◽  
Author(s):  
Ahad Salimi ◽  
Mohammad Ali Pourmina ◽  
Mohammad-Shahram Moin

Author(s):  
John M. Peloquin ◽  
Jonathon H. Yoder ◽  
Nathan T. Jacobs ◽  
Sung M. Moon ◽  
Alexander C. Wright ◽  
...  

Degeneration of the intervertebral disc (IVD) is implicated in low back pain, which is a costly and prevalent disease. Since the IVD is a mechanically active organ, it is important to consider its mechanical behavior as one factor in the degenerate pathology. Strain can be measured directly by imaging methods, but the stress distribution within the disc must be calculated. The stress distribution for a particular strain state is dependent on the IVD’s material properties and its geometry. While the material properties of the tissues comprising IVD have been extensively studied, its three-dimensional geometry remains incompletely characterized. Prior whole-disc models have been constructed from single IVDs. While this approach ensures that the geometry has a physiological basis, it is uncertain the degree to which results from a single IVD shape can be generalized to the entire population.


Author(s):  
Chenglu Zhu ◽  
Xiaoyan Wang ◽  
Zhongzhao Teng ◽  
Sheng-Yong Chen ◽  
Xiaojie Huang ◽  
...  

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