Improved technique to detect the infarction in delayed enhancement image using k-mean method

Mohamed K. Metwally, Neamat El-Gayar, Nael F. Osman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cardiac magnetic resonance (CMR) imaging is an important technique for cardiac diagnosis. Measuring the scar in myocardium is important to cardiologists to assess the viability of the heart. Delayed enhancement (DE) images are acquired after about 10 minutes following injecting the patient with contrast agent so the infracted region appears brighter than its surroundings. A common method to segment the infarction from DE images is based on intensity Thresholding. This technique performed poorly for detecting small infarcts in noisy images. In this work we aim to identify the best threshold value to segment the infarction in case of segmentation using simple Threshold and propose a modified technique to improve the segmentation in noisy images. Our proposed technique is based on enhancing Thresholding using k-means clustering. We test our proposed model using computer simulated and real images with different contrast-to-noise ratio (CNR). We used F-score, which is a combined measure of the precision and sensitivity, to determine the performance of the proposed technique versus simple Thresholding. The results show that the proposed technique outperforms existing methods.

Original languageEnglish (US)
Title of host publicationImage Analysis and Recognition - 7th International Conference, ICIAR 2010, Proceedings
Pages108-119
Number of pages12
EditionPART 2
DOIs
StatePublished - Aug 13 2010
Event7th International Conference on Image Analysis and Recognition, ICIAR 2010 - Povoa de Varzim, Portugal
Duration: Jun 21 2010Jun 23 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6112 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Image Analysis and Recognition, ICIAR 2010
CountryPortugal
CityPovoa de Varzim
Period6/21/106/23/10

Keywords

  • Cardiac Magnetic resonance
  • Delayed Enhancement
  • k-means clustering technique

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Metwally, M. K., El-Gayar, N., & Osman, N. F. (2010). Improved technique to detect the infarction in delayed enhancement image using k-mean method. In Image Analysis and Recognition - 7th International Conference, ICIAR 2010, Proceedings (PART 2 ed., pp. 108-119). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6112 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-13775-4_12