Abstract #2626

Segmentation of Abdominal Aortic Aneurysms Wall and Intraluminal Thrombus using 3D Black Blood MRI with Registration based Geometric Active Contour Model

Yan Wang¹, Florent Seguro¹, Farshid Faraji¹, Chengcheng Zhu¹, Henrik Haraldsson¹, Michael Hope¹, Jing Liu¹, and David Saloner²

¹Radiology, UCSF, San Francisco, CA, United States, ²Radiology, UCSF/VA, San Francisco, CA, United States

An abdominal aortic aneurysm (AAA) may rupture if left untreated. Automatic segmentation methods allow quick and reproducible AAA morphology quantification, which is favorable for the diagnosis of AAA disease. This study developed a novel registration based geometric active contour model to segment vessel wall of AAA from 3D black blood MRI. This method was initially tested on six patients. The proposed method agreed well with manual segmentation with an average Dice value of 91.22%, demonstrating good segmentation accuracy. These methods can be potentially used for AAA evaluation in clinical setting.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.