Wavelet-based enhancement for detection of left ventricular myocardial boundaries in magnetic resonance images

J. C. Fu, J. W. Chai, Stephen T.C. Wong

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

MRI is noninvasive and generates clear images, giving it great potential as a diagnostic instrument. However, current methods of image analysis are too time-consuming for dynamic systems such as the cardiovascular system. Since dynamic imagery generate a huge number of images, a computer aided machine vision diagnostic tool is essential for implementing MRI-based measurement. In this paper, a wavelet-based image technique is applied to enhance left ventricular endocardial and epicardial profiles as the preprocessor for a dynamic programming-based automatic border detection algorithm. Statistical tests are conducted to verify the performance of the enhancement technique by comparing borders manually drawn with 1. borders generated from the enhanced images, and 2. borders generated for the original images. (C) 2000 Elsevier Science Inc.

Original languageEnglish (US)
Pages (from-to)1135-1141
Number of pages7
JournalMagnetic Resonance Imaging
Volume18
Issue number9
DOIs
StatePublished - 2000

Keywords

  • Border detection
  • Image enhancement
  • Magnetic resonance image
  • Wavelet transform

ASJC Scopus subject areas

  • Biophysics
  • Clinical Biochemistry
  • Structural Biology
  • Radiology Nuclear Medicine and imaging
  • Condensed Matter Physics

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