Mapping and characterizing endometrial implants by registering 2D transvaginal ultrasound to 3D pelvic magnetic resonance images
Résumé
Mapping an endometrial tissue seen in Transvaginal Ultrasound (TVUS) to a Magnetic Resonance (MR) image is an important approach to improve the accuracy of diagnosis and preoperative surgery planning. To date, no technical methods solve this problem. In a clinical setting where only one 2D TVUS image is available, methods in the state of the art require the selection of a 2D MR slice and use 2D/2D deformable image registration. This is a limitation since the standard TVUS and MR imaging techniques used for diagnosing endometriosis are 2D and 3D, respectively. In this work, we introduce a novel deformable slice-to-volume registration process to overcome this limitation. To this end, we register a 2D TVUS image to a 3D MR data in order to transform the TVUS planar image to a curved 2D surface in MR volume. The proposed method facilitates the transfer of two types of information from a 2D TVUS image to the MR volume: 1) the location and shape of small implants and 2) the implants' depth of infiltration in the host tissue. Our TVUS-MR registration method uses contour to surface correspondences through a novel variational one-step deformable Iterative Closest Point (ICP) method. We demonstrate the accuracy of the proposed method by quantitative and qualitative tests on semi-synthetic and clinical data sets. Experimental error analysis shows high registration accuracy, illustrating the robustness of the method.
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