scholarly journals Incompressible Cardiac Motion Estimation of the Left Ventricle Using Tagged MR Images

2009 ◽  
pp. 331-338 ◽  
Author(s):  
Xiaofeng Liu ◽  
Khaled Z. Abd-Elmoniem ◽  
Jerry L. Prince
Keyword(s):  
Left Ventricle ◽  
Motion Estimation ◽  
Cardiac Motion ◽  
Mr Images ◽  
Tagged 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 A gradient-based optical-flow cardiac motion estimation method for cine and tagged MR images

2019 ◽  
Vol 57 ◽  
pp. 136-148 ◽  
Author(s):  
Liang Wang ◽  
Patrick Clarysse ◽  
Zhengjun Liu ◽  
Bin Gao ◽  
Wanyu Liu ◽  
...  
Keyword(s):  
Motion Estimation ◽  
Optical Flow ◽  
Estimation Method ◽  
Cardiac Motion ◽  
Mr Images ◽  
Gradient Based ◽  
Tagged Mr Images

scholarly journals Shortest Path Refinement for Motion Estimation From Tagged MR Images

2010 ◽  
Vol 29 (8) ◽  
pp. 1560-1572 ◽  
Author(s):  
Xiaofeng Liu ◽  
Jerry L. Prince
Keyword(s):  
Motion Estimation ◽  
Shortest Path ◽  
Mr Images ◽  
Tagged Mr Images

Texture Classification and Shape Statistics Variational Approach for Segmentation of Left Ventricle Tagged MR Images

2009 ◽  
Vol 20 (1) ◽  
pp. 30-40 ◽  
Author(s):  
Fu-Chang LIU ◽  
Qiang CHEN ◽  
Quan-Sen SUN ◽  
Pheng Ann HENG ◽  
De-Shen XIA
Keyword(s):  
Left Ventricle ◽  
Variational Approach ◽  
Texture Classification ◽  
Mr Images ◽  
Shape Statistics ◽  
Tagged Mr Images

Left Ventricle Segmentation and Motion Analysis in MultiSlice Computerized Tomography

2010 ◽  
pp. 307-322 ◽  
Author(s):  
Antonio Bravo ◽  
Juan Mantilla ◽  
José Clemente ◽  
Miguel Vera
Keyword(s):  
Left Ventricle ◽  
Motion Estimation ◽  
Motion Analysis ◽  
Computerized Tomography ◽  
Region Growing ◽  
Cardiac Motion ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Anatomical Landmarks ◽  
Ventricle Segmentation

Cardiac motion analysis is an important tool for evaluating the cardiac function. Accurate motion estimation techniques are necessary for providing a set of parameters useful for diagnosis and guiding therapeutical actions. In this chapter, the problem of cardiac motion estimation is presented. A short overview of techniques based in several imaging modalities is given where the machine learning techniques have played an important role. A feasible solution for left ventricle segmentation in multislice computerized tomography (MSCT) and for estimating the left ventricle motion is presented. This method is based on the application of support vector machines (SVM), region growing and a nonrigid bidimensional correspondence algorithm used for tracking the anatomical landmarks extracted from the segmented left ventricle (LV). Some experimental results are presented and at the end of the chapter a short summary is presented.

Tag and contour detection in tagged MR images of the left ventricle

1994 ◽  
Vol 13 (1) ◽  
pp. 74-88 ◽  
Author(s):  
M.A. Guttmann ◽  
J.L. Prince ◽  
E.R. McVeigh
Keyword(s):  
Left Ventricle ◽  
Contour Detection ◽  
Mr Images ◽  
Tagged Mr Images
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