Muehl JK, Kainz B, Portugaller HR, Stiegler PB, Bauer CH (2009)
Publication Type: Conference contribution
Publication year: 2009
Publisher: IEEE Computer Society
Pages Range: 3755-3758
Conference Proceedings Title: Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Event location: USA
ISBN: 9781424432967
DOI: 10.1109/IEMBS.2009.5334539
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. ©2009 IEEE.
APA:
Muehl, J.K., Kainz, B., Portugaller, H.R., Stiegler, P.B., & Bauer, C.H. (2009). Computer oriented image acquisition of the liver: Toward a better numerical model for radiofrequency ablation. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 3755-3758). USA: IEEE Computer Society.
MLA:
Muehl, Judith K., et al. "Computer oriented image acquisition of the liver: Toward a better numerical model for radiofrequency ablation." Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, USA IEEE Computer Society, 2009. 3755-3758.
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