Brain symmetry plane detection based on fractal analysis

S. A. Jayasuriya, A. W.C. Liew, Ngai Fong Law

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)568-580
Number of pages13
JournalComputerized Medical Imaging and Graphics
Volume37
Issue number7-8
DOIs
Publication statusPublished - 1 Oct 2013

Keywords

  • Fractal analysis
  • Lacunarity
  • Longitudinal fissure
  • Mid-sagittal plane
  • Neuroimaging

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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