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Automatic prostate segmentation in cone-beam computed tomography images using rigid registration

Abstract : We propose to evaluate automatic three-dimensional gray-value rigid registration (RR) methods for prostate localization on cone-beam computed tomography (CBCT) scans. In total, 103 CBCT scans of 9 prostate patients have been analyzed. Each one was registered to the planning CT scan using different methods: (a) global RR, (b) pelvis bone structure RR, (c) bone RR refined by local soft-tissue RR using the CT clinical target volume (CTV) expanded with a 1, 3, 5, 8, 10, 12, 15 or 20-mm margin. To evaluate results, a radiation oncologist was asked to manually delineate the CTV on the CBCT scans. The Dice coefficients between each automatic CBCT segmentation - derived from the transformation of the manual CT segmentation - and the manual CBCT segmentation were calculated. Global or bone CT/CBCT RR has been shown to yield insufficient results in average. Local RR with an 8-mm margin around the CTV after bone RR was found to be the best candidate for systematically significantly improving prostate localization.
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Christine Boydev, David Pasquier, Foued Derraz, Laurent Peyrodie, Abdelmalik Taleb-Ahmed, et al.. Automatic prostate segmentation in cone-beam computed tomography images using rigid registration. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2013, Osaka, Japan. pp.3993-3997, ⟨10.1109/EMBC.2013.6610420⟩. ⟨hal-03468393⟩



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