Comparison of Cardiac Motion Fields from Tagged and Untagged MR Images Using Nonrigid Registration

2005 ◽  
pp. 425-433 ◽  
Author(s):  
Raghavendra Chandrashekara ◽  
Raad H. Mohiaddin ◽  
Daniel Rueckert
Keyword(s):  
Cardiac Motion ◽  
Nonrigid Registration ◽  
Mr Images

A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration

2012 ◽  
Vol 31 (6) ◽  
pp. 1263-1275 ◽  
Author(s):  
Wenzhe Shi ◽  
Xiahai Zhuang ◽  
Haiyan Wang ◽  
S. Duckett ◽  
D. V. N. Luong ◽  
...  
Keyword(s):  
Motion Estimation ◽  
Cardiac Motion ◽  
Nonrigid Registration ◽  
Mr Images ◽  
Tagged Mr Images

scholarly journals Graphics Processing Unit–Accelerated Nonrigid Registration of MR Images to CT Images During CT-Guided Percutaneous Liver Tumor Ablations

2015 ◽  
Vol 22 (6) ◽  
pp. 722-733 ◽  
Author(s):  
Junichi Tokuda ◽  
William Plishker ◽  
Meysam Torabi ◽  
Olutayo I. Olubiyi ◽  
George Zaki ◽  
...  
Keyword(s):  
Liver Tumor ◽  
Graphics Processing Unit ◽  
Ct Images ◽  
Nonrigid Registration ◽  
Processing Unit ◽  
Mr Images ◽  
Ct Guided ◽  
Graphics Processing

scholarly journals Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation

2005 ◽  
Vol 24 (9) ◽  
pp. 1113-1126 ◽  
Author(s):  
M.J. Ledesma-Carbayo ◽  
J. Kybic ◽  
M. Desco ◽  
A. Santos ◽  
M. Suhling ◽  
...  
Keyword(s):  
Motion Estimation ◽  
Cardiac Motion ◽  
Nonrigid Registration ◽  
Spatio Temporal

scholarly journals A nonrigid registration algorithm for longitudinal breast MR images and the analysis of breast tumor response

2009 ◽  
Vol 27 (9) ◽  
pp. 1258-1270 ◽  
Author(s):  
Xia Li ◽  
Benoit M. Dawant ◽  
E. Brian Welch ◽  
A. Bapsi Chakravarthy ◽  
Darla Freehardt ◽  
...  
Keyword(s):  
Breast Tumor ◽  
Tumor Response ◽  
Nonrigid Registration ◽  
Mr Images ◽  
Registration Algorithm ◽  
Breast Mr

Nonrigid Registration of Pre-Procedural MRI and Intra-Procedural CT in CT-Guided Cryoablation of Lung Tumors to Improve Lung Tumor Conspicuity

2016 ◽  
Vol 01 (02) ◽  
pp. 1650004
Author(s):  
Nobuhiko Hata ◽  
Servet Tatli ◽  
Atsushi Yamada ◽  
Olutayo Olubiyi ◽  
Stuart G. Silverman
Keyword(s):  
Lung Tumor ◽  
Ct Images ◽  
Nonrigid Registration ◽  
Dice Similarity Coefficient ◽  
Mr Images ◽  
Ct Guided ◽  
Target Registration Error ◽  
Significant Difference ◽  
The Mean ◽  
Image Registrations

To improve lung tumor conspicuity during CT-guided cryoablations, we used nonrigid image registrations to fuse pre-procedural MR images and intra-procedural CT images and determined which set of CT images taken at planning, targeting, and monitoring phases of the procedure provided the most accurate and fastest registrations. In 10 percutaneous CT-guided cryoablation procedures, MR images were registered with intra-procedural CT images using a nonrigid registration technique using an intensity-based approach with affine and B-Spline transformations. The time to complete the registration as well as the accuracy of the registration defined by Target Registration Error (TRE), Dice Similarity Coefficient (DSC), and Hausdorff Distance (HD) were measured to assess the performance of the registration. The least significant difference (LSD) method was used as a post-hoc analysis for comparing time and accuracy among planning, targeting, and monitoring phases. The mean TRE of the registration ranged from 6.26 (planning) to 10.31 (monitoring) mm. The mean DSC ranged from 83.86 (monitoring) to 89.22 (planning). The mean HD values ranged from 7.74 (targeting) to 12.20 (monitoring). Mean registration time ranged from 68.67 (monitoring) to 92.02 (planning) s. Using HD, registrations in either the planning or targeting phase were more accurate than in the monitoring phase. The registration was faster using monitoring images than using planning images. Nonrigid registration techniques can be used to fuse pre-procedural MR images with intra-procedural CT images with varying performance depending on the CT images taken at the different phases of the procedure. Therefore, caution should be taken in setting expectations on accuracies and speeds of registration depending on the phases of the CT-guided ablation procedures.

Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response

2009 ◽  
Author(s):  
Xia Li ◽  
Benoit M. Dawant ◽  
E. Brian Welch ◽  
A. Bapsi Chakravarthy ◽  
Darla Freehardt ◽  
...  
Keyword(s):  
Breast Tumor ◽  
Preliminary Analysis ◽  
Tumor Response ◽  
Nonrigid Registration ◽  
Mr Images ◽  
Registration Algorithm ◽  
Breast Mr
Sign in / Sign up

Export Citation Format

Share Document