Knowledge-based image analysis for automated boundary extraction of transesophageal echocardiographic left-ventricular images.
Knowledge-based image analysis for automated boundary extraction of transesophageal echocardiographic left-ventricular images.
复制标题
基于知识的图像分析，用于经食管超声心动图左心室图像的自动边界提取。
DOI：
--
复制
发表时间：
1991
影响因子：
10.6
通讯作者：
D. Porembka
中科院分区：
文献类型：
--
作者：
C. Han;K. N. Lin;W. Wee;R. Mintz;D. Porembka
提出了一种从经食道超声心动图(TEE)图像中自动确定左心室(LV)及其边界区域轮廓的系统。它利用心脏解剖学和超声心动图成像的知识来指导图像处理方法的选择，以进行阈值处理、边缘检测和轮廓跟踪，并使用基于中心的边界查找技术来提取LV区域的轮廓。为了加快处理速度，首先从T恤图片中分离出感兴趣的矩形区域，然后将其缩小为原始大小的九分之一的粗略版本。除了最终轮廓边缘提取之外，所有处理步骤都在该缩小图像上执行。描述了用于自动阈值选择、区域分割、噪声去除和区域中心确定的新方法。
A system for automatically determining the contour of the left ventricle (LV) and its bounded area, from transesophageal echocardiographic (TEE) images is presented. It uses knowledge of both heart anatomy and echocardiographic imaging to guide the selection of image processing methodologies for thresholding, edge detection, and contour following and the center-based boundary-finding technique to extract the contour of the LV region. To speed up the processing a rectangular region of interest from a TEE picture is first isolated and then reduced to a coarse version, one-ninth original size. All processing steps, except the final contour edge extraction, are performed on this reduced image. New methods developed for automatic threshold selection, region segmentation, noise removal, and region center determination are described.
二维超声心动图的实时计算机化。
影响因子：
4.8
作者：
Garcia,E;Gueret,P;Bennett,M;Corday,E;Zwehl,W;Meerbaum,S;Corday,S;Swan,HJ;Berman,D
通讯作者：
Berman,D