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Proceedings Paper

Validation of model-based pelvis bone segmentation from MR images for PET/MR attenuation correction
Author(s): S. Renisch; T. Blaffert; J. Tang; Z. Hu
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Paper Abstract

With the recent introduction of combined Magnetic Resonance Imaging (MRI) / Positron Emission Tomography (PET) systems, the generation of attenuation maps for PET based on MR images gained substantial attention. One approach for this problem is the segmentation of structures on the MR images with subsequent filling of the segments with respective attenuation values. Structures of particular interest for the segmentation are the pelvis bones, since those are among the most heavily absorbing structures for many applications, and they can serve at the same time as valuable landmarks for further structure identification. In this work the model-based segmentation of the pelvis bones on gradient-echo MR images is investigated. A processing chain for the detection and segmentation of the pelvic bones is introduced, and the results are evaluated using CT-generated "ground truth" data. The results indicate that a model based segmentation of the pelvis bone is feasible with moderate requirements to the pre- and postprocessing steps of the segmentation.

Paper Details

Date Published: 14 February 2012
PDF: 11 pages
Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 831404 (14 February 2012); doi: 10.1117/12.911267
Show Author Affiliations
S. Renisch, Philips Research Labs. (Germany)
T. Blaffert, Philips Research Labs. (Germany)
J. Tang, Philips Healthcare (United States)
Z. Hu, Philips Healthcare (United States)

Published in SPIE Proceedings Vol. 8314:
Medical Imaging 2012: Image Processing
David R. Haynor; Sébastien Ourselin, Editor(s)

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