Comprehensive geometric modeling of human cerebral vasculature for quantitative vascular analysis
Name
953583160-MIT.pdf
Description
Full printable version
Size
2.59 MB
Format
Adobe PDF
Checksum (MD5)
626060e68170e60db08adc0eb87e8906
Author(s)
Linghu, Changyang
Advisor(s)
Edward S. Boyden.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
In this work we developed a comprehensive and structured geometric model of human cerebral vasculature for quantitative anatomical analysis. We first proposed a general and structured geometric representation of the interconnected vascular network as a framework. We then described an image processing pipeline for the segmentation of vascular anatomy from discrete scalar field images, and applied the pipeline to segment the anatomical structures of cerebral vasculatures from whole brain magnetic resonance angiography (MRA) scans of healthy adult subjects. Next, we employed the proposed geometric representation to generate the comprehensive geometric model of human cerebral vasculature from those segmented anatomies. In the end, we performed quantitative anatomical analysis to the anterior cerebral arteries (ACA) and internal carotid arteries (ICA), and characterized their varying size and tortuosity in the cerebral arterial circulation.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 23-25).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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