DIGITAL CURVATURE ESTIMATION FOR LEFT-VENTRICULAR SHAPE-ANALYSIS

被引：20

作者：

BARONI, M ^{[1
]}

BARLETTA, G ^{[1
]}

机构：

[1] UNIV FLORENCE,INST INTERNAL MED,CARDIOL UNIT,I-50121 FLORENCE,ITALY

来源：

IMAGE AND VISION COMPUTING | 1992年 / 10卷 / 07期

关键词：

LEFT VENTRICULAR SHAPE; CURVATURE ESTIMATION; ADAPTIVE FILTERING;

D O I：

10.1016/0262-8856(92)90061-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Curvature estimation, from noisy digital curves is addressed for shape analysis of angiographic left ventricle (LV) images. A simple and fast algorithm, based on Fourier series approximation, changes the harmonic number and filter window along the closed (or partially open) contours to optimize smoothness and reconstruction errors. The curvatures estimated on a set of ventricle-shaped models are significantly closer to their analytical values than those assessed by four other methods. Preliminary results on LV data are presented.

引用

页码：485 / 494

页数：10

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