NDLI: Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming

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Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming

Content Provider	IEEE Xplore Digital Library
Author	Joong-Ho Won Yongkweon Jeon Rosenberg, J.K. Sungroh Yoon Rubin, G.D. Napel, S.
Copyright Year	1995
Abstract	Direct projection of 3D branching structures, such as networks of cables, blood vessels, or neurons onto a 2D image creates the illusion of intersecting structural parts and creates challenges for understanding and communication. We present a method for visualizing such structures, and demonstrate its utility in visualizing the abdominal aorta and its branches, whose tomographic images might be obtained by computed tomography or magnetic resonance angiography, in a single 2D stylistic image, without overlaps among branches. The visualization method, termed uncluttered single-image visualization (USIV), involves optimization of geometry. This paper proposes a novel optimization technique that utilizes an interesting connection of the optimization problem regarding USIV to the protein structure prediction problem. Adopting the integer linear programming-based formulation for the protein structure prediction problem, we tested the proposed technique using 30 visualizations produced from five patient scans with representative anatomical variants in the abdominal aortic vessel tree. The novel technique can exploit commodity-level parallelism, enabling use of general-purpose graphics processing unit (GPGPU) technology that yields a significant speedup. Comparison of the results with the other optimization technique previously reported elsewhere suggests that, in most aspects, the quality of the visualization is comparable to that of the previous one, with a significant gain in the computation time of the algorithm.
Sponsorship	IEEE Computer Society Technical Committee on Computer Graphics IEEE Computer Society
Page Count	13
File Size	940816
Starting Page	81
Ending Page	93
File Format	PDF
ISSN	10772626
Volume Number	19
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Three dimensional displays Biomedical imaging Optimization Context Solid modeling Graphics processing unit CUDA proteins biomedical MRI computerised tomography data visualisation geometry graphics processing units integer programming linear programming medical image processing parallel processing GPU uncluttered single-image visualization vascular structures GPGPU technology general-purpose graphics processing unit technology commodity-level parallelism abdominal aortic vessel tree anatomical variants protein structure prediction problem geometry optimization technique USIV 2D stylistic image magnetic resonance angiography computed tomography tomographic images abdominal aorta visualization structure visualization 3D branching structures direct projection integer linear programming-based formulation parallelization Single-image visualization abdominal aorta side-chain placement integer linear programming GPGPU
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Signal Processing Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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