Perfecting a Video Game with Game Metrics
Vol 14, No 3: September 2016

MRI Sagittal Image Segmentation from Patients with Abdominal Aortic Aneurysms

Desti Riminarsih (Faculty of Computer Science and Information Technology Gunadarma University Jl.Margonda Raya 100, Depok 16424, Indonesia)
Cut Maisyarah Karyati (Faculty of Computer Science and Information Technology Gunadarma University Jl.Margonda Raya 100, Depok 16424, Indonesia)
Achmad Benny Mutiara (Faculty of Computer Science and Information Technology Gunadarma University Jl.Margonda Raya 100, Depok 16424, Indonesia)
Bambang Wahyudi (Faculty of Computer Science and Information Technology Gunadarma University Jl.Margonda Raya 100, Depok 16424, Indonesia)
E. Ernastuti (Faculty of Industrial Technology Gunadarma University Jl.Margonda Raya 100, Depok 16424, Indonesia)



Article Info

Publish Date
01 Sep 2016

Abstract

Early detection in patients with abdominal aortic aneurysm (AAA) is esdential to reduce the risk of rupture of aortic wall that causes bleeding and often lead to death. Information about the condition of AAA is indispendable to complete the diagnosis of doctors in decision making. The position and shape of AAA can be obtained by sagittal image from an MRI examination. Characteristics of MRI sagittal image are having a gray level that is almost teh same between one organ to another. Therefore, to separate between one organ to another is difficult. This research is conducted MRI sagittal iamge segmentation in patients to obtain information on morphology and location of abdominal aortic aneurysm (AAA). To Segmenting the MRI Image we comobine thresholding method and Haralick Method. Under this proposed method, obtained sagittal images of the aorta are used to gain information about the location and shape of the aneurysm in abdominal aorta.

Copyrights © 2016






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...