Paper Info
Title
Semi-automated CT segmentation using optic flow and Fourier interpolation techniques.
Abstract
In radiotherapy treatment planning, tumor volumes and anatomical structures are manually contoured for dose calculation, which takes time for clinicians. This study examines the use of semi-automated segmentation of CT images. A few high curvature points are manually drawn on a CT slice. Then Fourier interpolation is used to complete the contour. Consequently, optical flow, a deformable image registration method, is used to map the original contour to other slices. This technique has been applied successfully to contour anatomical structures and tumors. The maximum difference between the mapped contours and manually drawn contours was 6 pixels, which is similar in magnitude to difference one would see in manually drawn contours by different clinicians. The technique fails when the region to contour is topologically different between two slices. A solution is recommended to manually delineate contours on a sparse subset of slices and then map in both directions to fill the remaining slices.
Year
DOI
Venue
2006
10.1016/j.cmpb.2006.09.003
Computer Methods and Programs in Biomedicine
Keywords
Field
DocType
delineate contour,ct slice,ct image,original contour,anatomical structure,optic flow,mapped contour,semi-automated ct segmentation,fourier interpolation,fourier interpolation technique,maximum difference,different clinicians,deformable image registration method,optical flow,treatment planning
Computer vision,Curvature,Computer science,Segmentation,Interpolation,Flow (psychology),Fourier transform,Pixel,Artificial intelligence,Optical flow,Image registration
Journal
Volume
Issue
ISSN
84
2-3
0169-2607
Citations 
PageRank 
References 
8
0.90
1
Authors
6
Name
Order
Citations
PageRank
tzungchi huang1122.53
Geoffrey Zhang281.91
Thomas Guerrero3102.44
George Starkschall480.90
Kan-Ping Lin580.90
Ken Forster680.90