Robust segmentation of the left ventricle from MRI

被引：1

作者：

Medina, V ^{[1
]}

Garza, M ^{[1
]}

Lerallut, JF ^{[1
]}

Meer, P ^{[1
]}

Yanez-Suarez, O ^{[1
]}

Valdes, R ^{[1
]}

机构：

[1] Univ Autonoma Metropolitana Iztapalapa, Dept Elect Engn, Neuroimaging Lab, Mexico City, DF, Mexico

来源：

PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH | 2003年 / 25卷

关键词：

image segmentation; edge detection; nonparametric mean shift; active contours;

D O I：

10.1109/IEMBS.2003.1279824

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Segmentation and extraction of cardiac structures from heart images has been of great importance in the quantification of indicative parameters of cardiac pathologies. In this work we propose an algorithm delineate cardiac cavities, based on a robust extraction of the left ventricle, together with a refined deformable model, that integrates edge confidence information. The final contours were compared with manual segmentations taking as a similiarity measure the Tanimoto index; an average index of 0.74 +/- 0.10 was obtained. The estimated left ventricle volume profile along a cardiac cycle was also compared.

引用

页码：611 / 613

页数：3

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