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User intervention based segmentation of Myocardium In cardiac cine MRI images

Published: 10 August 2015 Publication History

Abstract

For the past one and a half decade, Magnetic Resonance Imaging (MRI) has become a preferred imaging technique for examination of cardiac morphology and its functions in humans. The heart cavities segmentation in MRI is still a challenge to be resolved due to the greater unpredictability of the images among patients and the characteristics of cardiac MR images. We present user intervention based semi-automatic method for segmentation in short axis images. The method includes various segmentation methods like graph-cut, watershed and the threshold based segmentation to calculate wall thickness and ejection factor which are of clinical importance. Challenge is to effectively segment epicardium and endocardium boundaries, for effective assessment. We have collected dataset from Sunnybrook Cardiac Data (SCD). The performance of each of the segmentation method is assessed by recording confusion matrix, and calculating sensitivity, specificity and accuracy. We conclude with a discussion of the results obtained which are in favour of graph-cut segmentation and future intended course of action in this field regarding methodological and medical issues.

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cover image ACM Other conferences
WCI '15: Proceedings of the Third International Symposium on Women in Computing and Informatics
August 2015
763 pages
ISBN:9781450333610
DOI:10.1145/2791405
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 August 2015

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Author Tags

  1. Segmentation
  2. ejection factor
  3. graph-cut
  4. myocardium
  5. wall thickness
  6. watershed segmentation

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WCI '15

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WCI '15 Paper Acceptance Rate 98 of 452 submissions, 22%;
Overall Acceptance Rate 98 of 452 submissions, 22%

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