Cavity segmentation and stroke volume measurement methods from echocardiographic images: Review

Anas A. Abboud, Rahmita Wirza Rahmat, Suhaini Bin Kadiman, Mohd Zamrin Bin Dimon, Lili Nurliyana, M. Iqbal Saripan, Hasan H. Khaleel

Research output: Contribution to journalArticle

Abstract

The complexity and criticality of heart disease diagnosis and treatment have frequently attracted the attention of researchers to develop approaches that can handle accurate clinical assessments. One of these complexities is measuring the Right Ventricle stroke volume. Therefore, different cardiac imaging techniques have been developed to help specialists in their regular clinical work and in the operating theatre to assist in the diagnosis, monitoring of the treatment and to ensure the success of a cardiac intervention as far as possible. Echocardiography is one of the cardiac imaging techniques and is considered as the most effective imaging technique as it is minimally invasive, quick and the cheapest method. Many studies have been conducted on Right Ventricle assessment from echocariographic images. This review is aimed at presenting the previous technical elements and algorithms used to measure the ventricle stroke volume from echocardiographic images. The review focuses on the five technical approaches that have been used, which are pre-processing, End-Distally (ED) and End-Systolic (ES) frame detection, cavity segmentation, the stoke volume measurement and 3D reconstruction. Finally, a summary will conclude this study.

Original languageEnglish
Pages (from-to)2220-2231
Number of pages12
JournalJournal of Computer Science
Volume10
Issue number11
DOIs
Publication statusPublished - 2014
Externally publishedYes

Fingerprint

Volume measurement
Imaging techniques
Echocardiography
Theaters
Monitoring
Processing

Keywords

  • 3D illustration
  • Cloud point orientation
  • Echocardiography image
  • End-diastolic (ED) and end-systolic (ES)
  • Left ventricle (LV)
  • Preprocessing
  • Right ventricle (RV)
  • Segmentation
  • Stroke volume
  • Three dimensional echocardiography (3DE)

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

Abboud, A. A., Rahmat, R. W., Kadiman, S. B., Dimon, M. Z. B., Nurliyana, L., Saripan, M. I., & Khaleel, H. H. (2014). Cavity segmentation and stroke volume measurement methods from echocardiographic images: Review. Journal of Computer Science, 10(11), 2220-2231. https://doi.org/10.3844/jcssp.2014.2220.2231

Cavity segmentation and stroke volume measurement methods from echocardiographic images : Review. / Abboud, Anas A.; Rahmat, Rahmita Wirza; Kadiman, Suhaini Bin; Dimon, Mohd Zamrin Bin; Nurliyana, Lili; Saripan, M. Iqbal; Khaleel, Hasan H.

In: Journal of Computer Science, Vol. 10, No. 11, 2014, p. 2220-2231.

Research output: Contribution to journalArticle

Abboud, AA, Rahmat, RW, Kadiman, SB, Dimon, MZB, Nurliyana, L, Saripan, MI & Khaleel, HH 2014, 'Cavity segmentation and stroke volume measurement methods from echocardiographic images: Review', Journal of Computer Science, vol. 10, no. 11, pp. 2220-2231. https://doi.org/10.3844/jcssp.2014.2220.2231
Abboud, Anas A. ; Rahmat, Rahmita Wirza ; Kadiman, Suhaini Bin ; Dimon, Mohd Zamrin Bin ; Nurliyana, Lili ; Saripan, M. Iqbal ; Khaleel, Hasan H. / Cavity segmentation and stroke volume measurement methods from echocardiographic images : Review. In: Journal of Computer Science. 2014 ; Vol. 10, No. 11. pp. 2220-2231.
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