NDLI: Computer oriented image acquisition of the liver: Toward a better numerical model for radiofrequency ablation

Content Provider	IEEE Xplore Digital Library
Author	Muehl, J.K. Kainz, B.K. Portugaller, H.R. Stiegler, P.B. Bauer, C.H.
Copyright Year	2009
Description	Author affiliation: Institute of Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16, 8010 Graz, Austria (Muehl, J.K.; Kainz, B.K.; Bauer, C.H.) \|\| Institute of Radiology, Graz University Clinic of Radiology, Auenbruggerplatz 10, 8010 Graz, Austria (Portugaller, H.R.) \|\| Institute of Transplantation Surgery, Graz University Clinic of Surgery, Auenbruggerplatz 10, 8010 Graz, Austria (Stiegler, P.B.)
Abstract	Simulating physiological interventions for planning purposes requires an accurate virtual liver model as computation input. To best meet the demands the data acquisition has to be oriented on image processing purposes. We provide a CT imaging protocol which makes it possible to extract much more vessels with the same segmentation algorithms than when using them on data sets from the clinical routine. Medical evaluation of physiological models demand a statistical evaluation in a pre-clinical study, that means in a first step reproducible results for a large number of subjects. So data acquisition should be as automatic as possible without neglecting modeling demands. Image quality should be reproducible to guarantee an ongoing high quality of image processing results. We evaluate the protocol by comparison of segmentation results with results achieved on standard data sets from clinical routine using the same segmentation methods. Results show that typically up to ten times more vessels can be extracted and the surface accuracy is improved.
Starting Page	3755
Ending Page	3758
File Size	554660
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334539
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Liver Numerical models Radio frequency Image segmentation Computational modeling Data acquisition Image processing Protocols Data mining Computed tomography
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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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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