A DEFORMABLE TEMPLATE MODEL WITH FEATURE TRACKING FOR AUTOMATED IVUS SEGMENTATION

被引：0

作者：

Manandhar, Prakash ^{[1
]}

Chen, Chi Hau ^{[2
]}

机构：

[1] UMass Dartmouth, Bioengn, N Dartmouth, MA 02740 USA

[2] UMass Dartmouth, Elect Comp Engn, N Dartmouth, MA 02740 USA

来源：

REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 29A AND 29B | 2010年 / 1211卷

关键词：

Intravascular Ultrasound; Segmentation; Active Contour Models; Deformable Template Models; Particle Filtering; Tracking; Kalman Filter; Guidewire; Circular Hough Transform; INTRAVASCULAR ULTRASOUND IMAGES; IN-VIVO;

D O I：

10.1063/1.3362257

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Intravascular Ultrasound (IVUS) can be used to create a 3D vascular profile of arteries for preventative prediction of Coronary Heart Disease (CHD). Segmentation of individual B-scan frames is a crucial step for creating profiles. Manual segmentation is too labor intensive to be of routine use. Automated segmentation algorithms are not yet accurate enough. We present a method of tracking features across frames of ultrasound data to increase automated segmentation accuracy using a deformable template model.

引用

页码：1582 / +

页数：2

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