LV motion tracking from 3D echocardiography using textural and structural information

Authors:
Andriy Myronenko;Xubo Song;David J. Sahn
Affiliations:
Dept. of CSEE, OGI School of Science and Engineering, Oregon Health and Science University, Beaverton, OR;Dept. of CSEE, OGI School of Science and Engineering, Oregon Health and Science University, Beaverton, OR;Cardiac Fluid Dynamics and Imaging Laboratory, Oregon Health and Science University, Beaverton, OR
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Year:
2007

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Abstract

Automated motion reconstruction of the left ventricle (LV) from 3D echocardiography provides insight into myocardium architecture and function. Low image quality and artifacts make 3D ultrasound image processing a challenging problem. We introduce a LV tracking method, which combines textural and structural information to overcome the image quality limitations. Our method automatically reconstructs the motion of the LV contour (endocardium and epicardium) from a sequence of 3D ultrasound images.