Michel Canis

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Endometriosis, a common gynecological disorder that causes infertility and pelvic pain, is defined as the presence of endometrial glands and stroma within extra-uterine sites. However, despite extensive studies its etiology and pathogenesis are not completely understood. Differentially expressed genes were investigated in epithelial and stromal cells from(More)
We present a new method to fit smooth paths to a given set of points on Riemannian manifolds using C 1 piecewise-Bézier functions. A property of the method is that, when the manifold reduces to a Euclidean space, the control points minimize the mean square acceleration of the path. As an application, we focus on data observations that evolve on certain(More)
Figure 1: Proposed AR solution for computer-assisted myomectomy. (a) Sagittal MRI slice showing a uterus with two myomas in dark grey. (b) MRI segmentation of uterus and myomas. (c) Raw laparoscopic image and (d) translucent augmentation of the myomas. ABSTRACT An active research objective in Computer Assisted Intervention (CAI) is to develop guidance(More)
We study the problem of joint registration and deformation analysis of endometrial tissue using 3D magnetic resonance imaging (MRI) and 2D trans-vaginal ultrasound (TVUS) measurements. In addition to the different imaging techniques involved in the two modalities, this problem is complicated due to: 1) different patient pose during MRI and TVUS(More)
We propose a new deformable slice-to-volume registration method to register a 2D Transvaginal Ultrasound (TVUS) to a 3D Magnetic Resonance (MR) volume. Our main goal is to find a cross-section of the MR volume such that the endometrial implants and their depth of infiltration can be mapped from TVUS to MR. The proposed TVUS-MR registration method uses(More)
BACKGROUND Cryopreservation of ovarian tissue can be used to preserve the fertility of patients who are about to receive treatment(s) that could compromise their future ovarian function. Here we evaluate the effectiveness of a vitrification protocol by carrying out a systematic comparison with a conventional slow-freezing method on human ovarian tissue. (More)
Automatically segmenting organs in monocular laparoscopic images is an important and challenging research objective in computer-assisted intervention. For the uterus this is difficult because of high inter-patient variability in tissue appearance and low-contrast boundaries with the surrounding peritoneum. We present a framework to segment the uterus which(More)