Detection Signal Thrombus from Magnetic Resonance Images on Small Abdominal Aortic Aneurysms

Abstract

The big risk of aneurysms on aorta is that they can leak or burst and, without treatment, this is fatal because of bleeding from the aorta into the surrounding tissues and can be reason for the sudden death. Aortic aneurysms are often associated with the thrombus in it. Magnetic Resonance Image (MRI) is one of the very best digital examinations to observe the aorta that have many small tissues. This study is to detect a thrombus in the Small AAA from MR images using DICOM-work and MatLab Software. Data were obtained from 16 patients with Small Abdominal Aortic Aneurysms (SAAA) who had been examined since July 2006 to January 2010. DICOM is the standard for Digital Imaging and Communications in Medicine that can covers most image formats for all of medicine and have specification for messaging and communication between imaging machines. T1 and T2 weighted images have been processed and used to analyze the thrombus signal. To process all the data, we use MatLab software. Algorithm to obtain images from DICOM that store in a directory was developing. Manual tracing of the borders have been done to define the Aorta Surface and Luminal Surface in order to determine the Thrombus surface, where Thrombus Surface = Aorta Surface-Luminal Surface. We found 13 of the 16 patient with SAAA had a thrombus. By using DICOM-work as intermediaries between digital examinations tool with the image processing tool is very helpful for doing image analysis.