A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
3D Shape Reconstruction Using Volume Intersection Techniques
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Elastic image registration for guiding focal laser ablation of prostate cancer: Preliminary results
Computer Methods and Programs in Biomedicine
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The radiotherapy planning procedure is achieved using images obtained from computed tomography (CT) or magnetic resonance imaging (MR). These images are realised before the treatment which is performed in several sessions over several weeks. At the beginning of each session, the patient has to be positioned on the treatment couch under the linear accelerator in the same position as during MR or CT imaging and planning, and the organs are assumed to be in the same place. Currently, the methods used for this repositioning are based on the external anatomy of the patient and assume that the internal structures do not move. In this study, we present a new approach, suited to clinical practice, for the automatic repositioning of patients in prostate cancer radiotherapy. It is based on localization by ultrasound images and optical stereolocalization and on a matching with images regenerated in the planning volume. The method exploits a statistical model of the prostate to automatically extract its contours. The first tests in conditions of a radiotherapy session show that the method is able to obtain a patient setup with an accuracy of about 1.4mm.