Title
An atlas-navigated optimal medial axis and deformable model algorithm (NOMAD) for the segmentation of the optic nerves and chiasm in MR and CT images
Abstract
In recent years, radiation therapy has become the preferred treatment for many types of head and neck tumors. To plan the procedure, vital structures, including the optic nerves and chiasm, must be identified using CT/MR imagery. In this work we present a novel method for automatically localizing the optic nerves and chiasm using a tubular structure localization algorithm in which a statistical model and image registration are used to incorporate a priori local intensity and shape information. The method results in mean Dice coefficients of 0.8 when compared to manual segmentations over ten test cases. This suggests that our method is more accurate than existing techniques developed for the segmentation of these structures.
Year
DOI
Venue
2011
10.1016/j.media.2011.05.001
Medical Image Analysis
Keywords
Field
DocType
Optic nerves,Chiasm,Optimal paths,Radiation therapy,Model-based segmentation
Computer science,A priori and a posteriori,Medial axis,Artificial intelligence,Computer vision,Pattern recognition,Segmentation,Algorithm,Atlas (anatomy),Optic chiasm,Image registration,Optic nerve,Magnetic resonance imaging
Journal
Volume
Issue
ISSN
15
6
1361-8415
Citations 
PageRank 
References 
12
0.84
21
Authors
2
Name
Order
Citations
PageRank
Jack H. Noble113930.87
Benoit M. Dawant21388223.11