Sagittal Image Segmentation from Patients with Abdominal Aortic Aneurysms
Abstract: Early detection in
patients with abdominal aortic aneurysm (AAA) is essential to reduce the rupture
risk of aortic wall that cause bleeding and often lead to death. The position
and shape of AAA is important to complete the diagnosis of doctors in planning
the clinical treatment. The segmentation of sagittal image to get aorta play
important rule to them, but manual segmentation methods is timeconsuming. The
characteristics of sagittal image have a gray level that is almost the same
between oneorgans to another so it is difficult segmented. This research
proposes an excellent semi-automaticsegmentation method to segmentation the
sagittal MRI image base connected component labellingmethod. 5 sagittal image
specific from a patient with small AAA is used to implemented this propose method.
All images were success segmented. The aorta as a result of this proposes method
is the best than the Chan-Vese segmentation method and manual segmentation
method.
Author: D. Riminarsih
Journal Code: jptkomputergg160284
