Variational level set method with shape constraint and application to edema cardiac magnetic resonance image

K. Kadir, Hao Gao, A. Payne, J. Soraghan, C. Berry

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

2 Citations (Scopus)

Abstract

Quantification of oedema area after acute myocardial infarction (MI) is very important in clinical prognosis for differentiating the viable and death myocardial tissues. In order to quantify oedema region, the first step is to segment the myocardial wall accurately. This paper applies variational level set method with shape constraint to oedema cardiac magnetic resonance (CMR) images. Shape information of the myocardial wall is introduced into the variational level set formulation, and the performance of the automatic method is tested on T2 weighted CMR images from 8 patients, and compared with manual analysis from two clinical experts. Results show that the proposed automatic segmentation framework can segment left ventricle (LV) boundary with no significant difference compared to manual segmentation.
LanguageEnglish
Title of host publicationProceedings of the 17th International Conference on Digital Signal Processing (DSP), 2011
PublisherIEEE
Number of pages5
ISBN (Print)978-1-4577-0273-0
DOIs
Publication statusPublished - Jul 2011

Fingerprint

Magnetic resonance
Tissue

Keywords

  • equations
  • image edge detection
  • image segmentation
  • myocardium
  • cardiology

Cite this

Kadir, K., Gao, H., Payne, A., Soraghan, J., & Berry, C. (2011). Variational level set method with shape constraint and application to edema cardiac magnetic resonance image. In Proceedings of the 17th International Conference on Digital Signal Processing (DSP), 2011 IEEE. https://doi.org/10.1109/ICDSP.2011.6004960
Kadir, K. ; Gao, Hao ; Payne, A. ; Soraghan, J. ; Berry, C. / Variational level set method with shape constraint and application to edema cardiac magnetic resonance image. Proceedings of the 17th International Conference on Digital Signal Processing (DSP), 2011 . IEEE, 2011.
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abstract = "Quantification of oedema area after acute myocardial infarction (MI) is very important in clinical prognosis for differentiating the viable and death myocardial tissues. In order to quantify oedema region, the first step is to segment the myocardial wall accurately. This paper applies variational level set method with shape constraint to oedema cardiac magnetic resonance (CMR) images. Shape information of the myocardial wall is introduced into the variational level set formulation, and the performance of the automatic method is tested on T2 weighted CMR images from 8 patients, and compared with manual analysis from two clinical experts. Results show that the proposed automatic segmentation framework can segment left ventricle (LV) boundary with no significant difference compared to manual segmentation.",
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Kadir, K, Gao, H, Payne, A, Soraghan, J & Berry, C 2011, Variational level set method with shape constraint and application to edema cardiac magnetic resonance image. in Proceedings of the 17th International Conference on Digital Signal Processing (DSP), 2011 . IEEE. https://doi.org/10.1109/ICDSP.2011.6004960

Variational level set method with shape constraint and application to edema cardiac magnetic resonance image. / Kadir, K.; Gao, Hao; Payne, A.; Soraghan, J.; Berry, C.

Proceedings of the 17th International Conference on Digital Signal Processing (DSP), 2011 . IEEE, 2011.

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

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AB - Quantification of oedema area after acute myocardial infarction (MI) is very important in clinical prognosis for differentiating the viable and death myocardial tissues. In order to quantify oedema region, the first step is to segment the myocardial wall accurately. This paper applies variational level set method with shape constraint to oedema cardiac magnetic resonance (CMR) images. Shape information of the myocardial wall is introduced into the variational level set formulation, and the performance of the automatic method is tested on T2 weighted CMR images from 8 patients, and compared with manual analysis from two clinical experts. Results show that the proposed automatic segmentation framework can segment left ventricle (LV) boundary with no significant difference compared to manual segmentation.

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Kadir K, Gao H, Payne A, Soraghan J, Berry C. Variational level set method with shape constraint and application to edema cardiac magnetic resonance image. In Proceedings of the 17th International Conference on Digital Signal Processing (DSP), 2011 . IEEE. 2011 https://doi.org/10.1109/ICDSP.2011.6004960