Paper Info
Title
Registration for 3D morphological comparison of brain aneurysm growth
Abstract
Recent advancements in 3D imaging technology have helped the early detection of brain aneurysms before aneurysm rupture. Developing management strategies for aneurysms has been an active research area. Because some unruptured aneurysms are followed up with medical images over years, there is an immediate need for methods to quantitatively compare aneurysm morphology to study the growth. We present a novel registration method which utilized the volumetric elastic model specifically for this medical application. Validations to test the accuracy of the algorithm using phantom models were performed to determine the robustness of the method. Examples of the medical application using aneurysm images are shown and compared with their clinical presentation.
Year
DOI
Venue
2011
10.1007/978-3-642-24028-7_36
ISVC (1)
Keywords
Field
DocType
medical application,brain aneurysms,aneurysm morphology,morphological comparison,clinical presentation,active research area,novel registration method,unruptured aneurysms,aneurysm rupture,brain aneurysm growth,medical image,aneurysm image
Computer vision,Early detection,Imaging technology,Computer science,Sørensen–Dice coefficient,Imaging phantom,Brain aneurysm,Aneurysm,Aneurysm rupture,Robustness (computer science),Artificial intelligence,Radiology
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Carl Lederman1141.76
Luminita A. Vese25389302.64
Aichi Chien3145.29