3D Radio Frequency Ultrasound Cardiac Segmentation Using a Linear Predictor

摘要：

We present an approach for segmenting the left ventricular endocardial boundaries from radio-frequency (RF) ultrasound. The method employs a computationally efficient two-frame linear predictor which exploits the spatio-temporal coherence of the data. By performing segmentation using the RF data we are able to overcome problems due to image inhomogeneities that are often amplified in B-mode segmentation, as well as provide geometric constraints for RF phase-based speckle tracking. We illustrate the advantages of our approach by comparing it to manual tracings of B-mode data and automated B-mode boundary detection using standard (Chan and Vese-based) level sets on echocardiographic images from 28 3D sequences acquired from 6 canine studies, imaged both at baseline and 1 hour post infarction.

作者: Paul C.Pearlman Hemant D.Tagare Albert J.Sinusas James S.Duncan

作者单位: Departments ofElectrical Engineering Departments of Electrical Engineering Biomedical Engineering Diagnostic Radiology, and Diagnostic Radiology, and Internal Medicine-CardiologyYale University, New Haven, CT, USA

会议类型: 国际会议

会议名称: The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention(第13届医学影像计算与计算机辅助介入国际会议 MICCAI 2010)

会议地点: 北京

会议语种:英文

页码: 502-509

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）