Cerebral aneurysm formation, growth, and rupture are active areas of investigation in the medical community. To model and test the mechanical processes involved, small aneurysm (<5 mm) segmentations need to be performed quickly and reliably for large patient populations. In the absence of robust automatic segmentation methods, the Vascular Modeling Toolkit (VMTK) provides scripts for the complex tasks involved in computer-assisted segmentation. Though these tools give researchers a great amount of flexibility, they also make reproduction of results between investigators difficult and unreliable. We introduce a VMTK pipeline protocol that minimizes the user interaction for vessel and aneurysm segmentation and a training method for new users. This protocol allows for decision tree handling for CTA and MRA images. Furthermore, we investigate the variation between two expert users and two novice users for six patients using shape index measures developed by Ma et al. and Raghavan et al.
|Advisor:||Raghavan, Madhavan L.|
|Commitee:||Dove, Edwin, Hasan, David, Saha, Punam, Vigmostadt, Sarah|
|School:||The University of Iowa|
|School Location:||United States -- Iowa|
|Source:||MAI 50/02M, Masters Abstracts International|
|Subjects:||Biomedical engineering, Medicine, Computer science|
|Keywords:||Cerebral aneurysms, Computer-assisted segmentation, Reproducible research, Shape indicies, User variation, Vmtk|
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