LV motion tracking from 3D echocardiography using textural and structural information.
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.
Myronenko
Andriy
A
Dept. of CSEE, OGI School of Science and Engineering, Oregon Health and Science University, 20000 NW Walker Road, Beaverton, OR 97006, USA. myron@csee.ogi.edu
Song
Xubo
X
Sahn
David J
DJ
D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D019560:Echocardiography, Three-Dimensional / Q000379:methods*; D006352:Heart Ventricles / Q000000981:diagnostic imaging*; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009068:Movement / Q000502:physiology*; D009200:Myocardial Contraction / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013552:Swine; D016276:Ventricular Function