Myronenko Andriy, Song Xubo, Sahn David J
Dept. of CSEE, OGI School of Science and Engineering, Oregon Health and Science University, 20000 NW Walker Road, Beaverton, OR 97006, USA.
Med Image Comput Comput Assist Interv. 2007;10(Pt 2):428-35. doi: 10.1007/978-3-540-75759-7_52.
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.
从三维超声心动图自动重建左心室（LV）运动，有助于深入了解心肌结构和功能。低图像质量和伪像使三维超声图像处理成为一个具有挑战性的问题。我们引入了一种左心室跟踪方法，该方法结合纹理和结构信息以克服图像质量限制。我们的方法可从一系列三维超声图像中自动重建左心室轮廓（心内膜和心肌外膜）的运动。
