A liver registration method for segmented multi-phase CT images

2015 ◽  
Author(s):  
Shuyue Shi ◽  
Rong Yuan ◽  
Zhi Sun ◽  
Qingguo Xie
Keyword(s):  
Ct Images ◽  
Registration Method ◽  
Multi Phase

Automatic detection method of hepatocellular carcinomas using the non-rigid registration method of multi-phase liver CT images

2015 ◽  
Vol 23 (3) ◽  
pp. 275-288 ◽  
Author(s):  
Jeongjin Lee ◽  
Kyoung Won Kim ◽  
So Yeon Kim ◽  
Juneseuk Shin ◽  
Kyung Jun Park ◽  
...  
Keyword(s):  
Detection Method ◽  
Automatic Detection ◽  
Ct Images ◽  
Registration Method ◽  
Rigid Registration ◽  
Liver Ct ◽  
Hepatocellular Carcinomas ◽  
Multi Phase

A Coarse-to-Fine Registration on 3D Multi-Phase Abdominal CT Images

2020 ◽  
Vol 12 (7) ◽  
pp. 909-914
Author(s):  
Shao-Di Yang ◽  
Fan Zhang ◽  
Zhen Yang ◽  
Xiao-Yu Yang ◽  
Shu-Zhou Li
Keyword(s):  
Three Dimensional ◽  
Ct Images ◽  
Abdominal Ct ◽  
Registration Method ◽  
Coarse Registration ◽  
Multi Phase ◽  
Coarse To Fine ◽  
Aided Diagnosis ◽  
Fine Registration ◽  
Spatial Regularization

Registration is a technical support for the integration of nanomaterial imaging-aided diagnosis and treatment. In this paper, a coarse-to-fine three-dimensional (3D) multi-phase abdominal CT images registration method is proposed. Firstly, a linear model is used to coarsely register the paired multiphase images. Secondly, an intensity-based registration framework is proposed, which contains the data and spatial regularization terms and performs fine registration on the paired images obtained in the coarse registration step. The results illustrate that the proposed method is superior to some existing methods with the average MSE, PSNR, and SSIM values of 0.0082, 21.2695, and 0.8956, respectively. Therefore, the proposed method provides an efficient and robust framework for 3D multi-phase abdominal CT images registration.

Liver cancer detection by using transition features obtained from multi-phase CT images

2005 ◽  
Author(s):  
Shigeto Watanabe ◽  
Yoshito Mekada ◽  
Junichi Hasegawa ◽  
Junichiro Toriwaki
Keyword(s):  
Liver Cancer ◽  
Cancer Detection ◽  
Ct Images ◽  
Multi Phase

An automatic registration method for pre- and post-interventional CT images for assessing treatment success in liver RFA treatment

2015 ◽  
Vol 42 (9) ◽  
pp. 5559-5567 ◽  
Author(s):  
Ha Manh Luu ◽  
Wiro Niessen ◽  
Theo van Walsum ◽  
Camiel Klink ◽  
Adriaan Moelker
Keyword(s):  
Treatment Success ◽  
Ct Images ◽  
Automatic Registration ◽  
Registration Method ◽  
Interventional Ct

scholarly journals An Optimized Registration Method Based on Distribution Similarity and DVF Smoothness for 3D PET and CT Images

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 1135-1145 ◽  
Author(s):  
Hongjian Kang ◽  
Huiyan Jiang ◽  
Xiangrong Zhou ◽  
Hengjian Yu ◽  
Takeshi Hara ◽  
...  
Keyword(s):  
Ct Images ◽  
Registration Method ◽  
3D Pet

Evaluation of a Learning-based Deformable Registration Method on Abdominal CT Images

IRBM ◽  
2020 ◽  
Author(s):  
R. Bhattacharjee ◽  
F. Heitz ◽  
V. Noblet ◽  
S. Sharma ◽  
N. Sharma
Keyword(s):  
Ct Images ◽  
Deformable Registration ◽  
Abdominal Ct ◽  
Registration Method
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