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Use of a CT statistical deformation model for multi-modal pelvic bone segmentation

Thompson, S; Penney, G; Buie, D; Dasgupta, P; Hawkes, D; (2008) Use of a CT statistical deformation model for multi-modal pelvic bone segmentation. In: Reinhardt, JM and Pluim, JPW, (eds.) Medical Imaging 2008: Image Processing. (pp. 69141O). Society of Photo-optical Instrumentation Engineers Green open access

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Abstract

We present a segmentation algorithm using a statistical deformation model constructed from CT data of adult male pelves coupled to MRI appearance data. The algorithm allows the semi-automatic segmentation of bone for a limited population of MRI data sets. Our application is pelvic bone delineation from pre-operative MRI for image guided pelvic surgery. Specifically, we are developing image guidance for prostatectomies using the daVinci telemanipulator. Hence the use of male pelves only. The algorithm takes advantage of the high contrast of bone in CT data, allowing a robust shape model to be constructed relatively easily. This shape model can then be applied to a population of MRI data sets using a single data set that contains both CT and MRI data. The model is constructed automatically using fluid based non-rigid registration between a set of CT training images, followed by principal component analysis. MRI appearance data is imported using CT and MRI data from the same patient. Registration optimisation is performed using differential evolution. Based on our limited validation to date, the algorithm may outperform segmentation using non-rigid registration between MRI images without the use of shape data. The mean surface registration error achieved was 1.74 mm. The algorithm shows promise for use in segmentation of pelvic bone from MRI, though further refinement and validation is required. We envisage that the algorithm presented could be extended to allow the rapid creation of application specific models in various imaging modalities using a shape model based on CT data.

Type: Proceedings paper
Title: Use of a CT statistical deformation model for multi-modal pelvic bone segmentation
Event: Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 11 March 2008
ISBN-13: 9780819470980
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.770254
Publisher version: http://proceedings.spiedigitallibrary.org/proceedi...
Language: English
Additional information: Copyright © 2008 SPIE - The International Society for Optical Engineering. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Keywords: segmentation, shape model, MRI, image guidance, registration, multi-modal
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/165353
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