DocumentCode
3401452
Title
Variational segmentation of elongated volumetric structures
Author
Reinbacher, Christian ; Pock, Thomas ; Bauer, Christian ; Bischof, Horst
Author_Institution
Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria
fYear
2010
fDate
13-18 June 2010
Firstpage
3177
Lastpage
3184
Abstract
We present an interactive approach for segmenting thin volumetric structures. The proposed segmentation model is based on an anisotropic weighted Total Variation energy with a global volumetric constraint and is minimized using an efficient numerical approach and a convex relaxation. The algorithm is globally optimal w.r.t. the relaxed problem for any volumetric constraint. The binary solution of the relaxed problem equals the globally optimal solution of the original problem. Implemented on today´s user-programmable graphics cards, it allows real-time user interaction. The method is applied to and evaluated on the task of articular cartilage segmentation of human knee joints and segmentation of tubular structures like liver vessels and airway trees.
Keywords
convex programming; image segmentation; medical image processing; user interfaces; variational techniques; anisotropic weighted total variation energy; articular cartilage segmentation; convex relaxation; elongated volumetric structures; global volumetric constraint; thin volumetric structure segmentation; tubular structure segmentation; user interaction; user-programmable graphics cards; variational segmentation; Bit error rate; Computer architecture; Design engineering; Optical crosstalk; Optical design; Optical fiber networks; Optical receivers; Optical transmitters; Physical layer; Q factor;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
Conference_Location
San Francisco, CA
ISSN
1063-6919
Print_ISBN
978-1-4244-6984-0
Type
conf
DOI
10.1109/CVPR.2010.5539771
Filename
5539771
Link To Document