Angle Images using Gabor Filters in Cardiac Tagged MRI

被引：0

作者：

Barajas, Joel ^{[1
]}

Garcia-Barnes, Jaume ^{[1
]}

Carreras, Francesc ^{[1
]}

Pujadas, Sandra ^{[1
]}

Radeva, Petia ^{[1
]}

机构：

[1] CICATA IPN, Queretaro, Mexico

来源：

ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT | 2005年 / 131卷

关键词：

Tagged MRI; Gabor Filters; Angle Images; HARP;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Tagged Magnetic Resonance Imaging (MRI) is a non invasive technique used to examine cardiac deformation in vivo An Angle Image is a representation of a Tagged MRI which recovers the relative position of the tissue respect to the distorted tags Thus cardiac deformation can be estimated This paper describes a new approach to generate Angle Images using a bank of Gabor filters in short axis cardiac Tagged MRI Our method improves the Angle Images obtained by global techniques like HARP with a local frequency analysis We propose to use the phase response of a combination of a Gabor filters bank and use it to find a more precise deformation of the left ventricle We demonstrate the accuracy of our method over HARP by several experimental results

引用

页码：107 / 114

页数：8

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