Segmentation of Myocardium Tissues Using Assembly and Color Analysis Methods

Title:Segmentation of Myocardium Tissues Using Assembly and Color Analysis Methods

Volume: 14

Author(s): Abdullah O. Alamoudi and Yousif M.Y. Abdallah*

Affiliation:

• Department of Radiological Science and Medical Imaging, College of Applied Medical Science, Majmaah University, Majmaah,Saudi Arabia

Keywords: Cardiac scintography, myocardium, image processing, recognition, MatLab, nuclear cardiac images.

Abstract: Background: Segmentation of nuclear cardiac images is used as an influential tool in the characterization of heart ailments.

Methods: The processing techniques confirmed in this study were contrast enhancement, noise removal, skeletonization and segmentation. The images were preserved by means of TIFF to maintain their quality. Then, diverse segmentation techniques were used to segment the heart tissues.

Result: The computation rate tested used matching rate and corresponding percentage. The results were 99.1+10.39 (p > 0.05).

Conclusion: This method offered precise identification of the heart tissue with significantly high exactness percentage.

Cite this article as:

Alamoudi O. Abdullah and Abdallah M.Y. Yousif *, Segmentation of Myocardium Tissues Using Assembly and Color Analysis Methods, Current Medical Imaging 2018; 14 (4) . https://dx.doi.org/10.2174/1573405613666170504153810

DOI https://dx.doi.org/10.2174/1573405613666170504153810	Print ISSN 1573-4056
Publisher Name Bentham Science Publisher	Online ISSN 1875-6603