Automatic quantification of oedema from T2 weighted CMR image using hybrid thresholding oedema sizing algorithm (HTOSA)

K Kushsairy Bin Abdul Kadir, A. Payne, John Soraghan, C. Berry

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

Abstract

Oedema is fluid retention within the myocardial tissue due to damage tissue causing swelling in the affected area after myocardial infarction (MI). Quantification of oedema area after an MI is an important step in medical prognosis to differentiate between viable and death myocardial tissue. In this paper a novel technique of Hybrid Thresholding Oedema Sizing Algorithm (HTOSA) is presented. To quantify the oedema a hybrid technique
based on combination of morphological operation combined with statistical thresholding is used. The performance of the method was tested on real T2 weighted MRI data. The quantitative result of the automatic method compare to manual segmentation by a skill clinician is very encouraging with correlation score of 81.1%.
LanguageEnglish
Title of host publicationComputing in Cardiology
Pages233-236
Number of pages4
Publication statusPublished - 2010

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Tissue
Magnetic resonance imaging
Swelling
Fluids

Keywords

  • automatic quanification
  • oedema
  • CMR images

Cite this

Kushsairy Bin Abdul Kadir, K., Payne, A., Soraghan, J., & Berry, C. (2010). Automatic quantification of oedema from T2 weighted CMR image using hybrid thresholding oedema sizing algorithm (HTOSA). In Computing in Cardiology (pp. 233-236)
Kushsairy Bin Abdul Kadir, K ; Payne, A. ; Soraghan, John ; Berry, C. / Automatic quantification of oedema from T2 weighted CMR image using hybrid thresholding oedema sizing algorithm (HTOSA). Computing in Cardiology. 2010. pp. 233-236
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abstract = "Oedema is fluid retention within the myocardial tissue due to damage tissue causing swelling in the affected area after myocardial infarction (MI). Quantification of oedema area after an MI is an important step in medical prognosis to differentiate between viable and death myocardial tissue. In this paper a novel technique of Hybrid Thresholding Oedema Sizing Algorithm (HTOSA) is presented. To quantify the oedema a hybrid technique based on combination of morphological operation combined with statistical thresholding is used. The performance of the method was tested on real T2 weighted MRI data. The quantitative result of the automatic method compare to manual segmentation by a skill clinician is very encouraging with correlation score of 81.1{\%}.",
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Kushsairy Bin Abdul Kadir, K, Payne, A, Soraghan, J & Berry, C 2010, Automatic quantification of oedema from T2 weighted CMR image using hybrid thresholding oedema sizing algorithm (HTOSA). in Computing in Cardiology. pp. 233-236.

Automatic quantification of oedema from T2 weighted CMR image using hybrid thresholding oedema sizing algorithm (HTOSA). / Kushsairy Bin Abdul Kadir, K; Payne, A.; Soraghan, John; Berry, C.

Computing in Cardiology. 2010. p. 233-236.

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

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T1 - Automatic quantification of oedema from T2 weighted CMR image using hybrid thresholding oedema sizing algorithm (HTOSA)

AU - Kushsairy Bin Abdul Kadir, K

AU - Payne, A.

AU - Soraghan, John

AU - Berry, C.

PY - 2010

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N2 - Oedema is fluid retention within the myocardial tissue due to damage tissue causing swelling in the affected area after myocardial infarction (MI). Quantification of oedema area after an MI is an important step in medical prognosis to differentiate between viable and death myocardial tissue. In this paper a novel technique of Hybrid Thresholding Oedema Sizing Algorithm (HTOSA) is presented. To quantify the oedema a hybrid technique based on combination of morphological operation combined with statistical thresholding is used. The performance of the method was tested on real T2 weighted MRI data. The quantitative result of the automatic method compare to manual segmentation by a skill clinician is very encouraging with correlation score of 81.1%.

AB - Oedema is fluid retention within the myocardial tissue due to damage tissue causing swelling in the affected area after myocardial infarction (MI). Quantification of oedema area after an MI is an important step in medical prognosis to differentiate between viable and death myocardial tissue. In this paper a novel technique of Hybrid Thresholding Oedema Sizing Algorithm (HTOSA) is presented. To quantify the oedema a hybrid technique based on combination of morphological operation combined with statistical thresholding is used. The performance of the method was tested on real T2 weighted MRI data. The quantitative result of the automatic method compare to manual segmentation by a skill clinician is very encouraging with correlation score of 81.1%.

KW - automatic quanification

KW - oedema

KW - CMR images

UR - http://www.cinc.org/

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BT - Computing in Cardiology

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Kushsairy Bin Abdul Kadir K, Payne A, Soraghan J, Berry C. Automatic quantification of oedema from T2 weighted CMR image using hybrid thresholding oedema sizing algorithm (HTOSA). In Computing in Cardiology. 2010. p. 233-236