Brain symmetry plane detection based on fractal analysis

被引：14

作者：

Jayasuriya, S. A. ^{[1
]}

Liew, A. W. C. ^{[1
]}

Law, N. F. ^{[2
]}

机构：

[1] Griffith Univ, Sch Informat & Commun Technol, Southport, Qld 4222, Australia

[2] Hong Kong Polytech Univ, Elect & Informat Engn Dept, Kowloon, Hong Kong, Peoples R China

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2013年 / 37卷 / 7-8期

基金：

澳大利亚研究理事会;

关键词：

Fractal analysis; Lacunarity; Neuroimaging; Mid-sagittal plane; Longitudinal fissure; MIDSAGITTAL PLANE; LOCAL SYMMETRY; LACUNARITY; DIMENSION; TEXTURE; EXTRACTION; IMAGES; SURFACE; ROBUST;

D O I：

10.1016/j.compmedimag.2013.06.001

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In neuroimage analysis, the automatic identification of symmetry plane has various applications. Despite the considerable amount of research, this remains an open problem. Most of the existing work based on image intensity is either sensitive to strong noise or not applicable to different imaging modalities. This paper presents a novel approach for identifying symmetry plane in three-dimensional brain magnetic resonance (MR) images based on the concepts of fractal dimension and lacunarity analysis which characterizes the complexity and homogeneity of an object. Experimental results, evaluation, and comparison with two other state-of-the-art techniques show the accuracy and the robustness of our method. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：568 / 580

页数：13

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