Comparative Analysis of Adaptive Vessel Segmentation-Cerebral Arteriovenous Malformation

Kumar, Kiran Y and Mehta, Shashi B and Ramachandra, Manjunath (2015) Comparative Analysis of Adaptive Vessel Segmentation-Cerebral Arteriovenous Malformation. Journal of Biomedical Science and Engineering, 8. pp. 797-804.

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Aim: Neurovascular abnormalities are extremely complex, due to the multitude of factors acting simultaneously on cerebral hemodynamics. Cerebral Arteriovenous Malformation (CAVM)hemodynamic in one of the vascular abnormality condition results changes in the vessels structures and hemodynamics in blood vessels, The challenge is segmenting accurate vessel region to measure hemodynamics of CAVMpatients. The clinical procedure is in-vivo method to measure hemodynamics. The catheter-based procedure is difficult, as it is sometimes difficult to reach vessels substructures. Methods: In this paper, we have proposed adaptive vessel segmentation based on threshold technique for CAVMpatients. We have compared different adaptive methods for vessel segmentation of CAVMstructures. The sub-structures are modeled using lumped model to measure hemodynamics non-invasively. Results: Twenty-three CAVMpatients with 150 different vessel locations of DSAdatasets were studied as part of the adaptive segmentation. 30 simulated data has been evaluated for more than 150 vessels locations for sub-segmentation of vessels. The segmentation results are evaluated with accuracy of 93%. The computed p-value is smaller than the significance level 0.05. Conclusion: The adaptive segmentation using threshold based produces accurate vessel segmentation, results in better accuracy of hemodynamic measurements for DSAimages for CAVMpatients. The proposed adaptive segmentation helps clinicians to measure hemodynamic non-invasively for the segmented sub-structures of vessels.

Item Type: Article
Uncontrolled Keywords: Adaptive Segmentation, AVM,Lumped Model
Subjects: Research > Research Center - Technical
Depositing User: MIT Library
Date Deposited: 02 Jun 2016 15:06
Last Modified: 02 Jun 2016 15:06

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