Document Type

Master's thesis

Date of Degree

2011

Degree Name

MS (Master of Science)

Department

Electrical and Computer Engineering

First Advisor

Madhavan L. Raghavan

Abstract

Cerebral aneurysm is a local dilation in a blood vessel in brain that can rupture and cause hemorrhagic stroke. A study by International Study of Unruptured Intracranial Aneurysms (ISUIA) has collected a large database of bi-plane cerebral angiograms from patients who were followed longitudinally. This unique data may be mined for testing hypotheses on the role of morphology metrics in rupture risk. A method of reconstructing an approximate 3D geometry of aneurysms from bi-plane angiograms was developed using techniques in curve morphing. Aneurysms from a pilot population of 150 patients were reconstructed to assess the effectiveness of the proposed method. The aim of the research is to develop a methodology for 3D reconstruction of aneurysm surface from biplane angiograms, estimate size & shape characteristics, validate the method for 3D morphometric and compare these metric against the ones estimates based on radiologic measurements.

The 3D methodology was developed and validated for the correctness of the developed method of surface reconstruction from biplane angiograms with good correlation coefficient values using a 10 patient data set. Then this method was applied on the 150 patient population studies for calculation of morphologic metric. The results showed that this method was better able to capture the shape characteristics of the aneurysm than the radiologists' way of approximating aneurysm as an ellipsoid formed from the three anatomical dimensions.

Pages

vii, 42

Bibliography

41-42

Copyright

Copyright 2011 Gaurav Sharda