B-spline Based Multi-organ Detection in Magnetic Resonance Imaging

Zhifan Jiang (1) , Jean-Francois Witz (1) , M Lecomte-Grosbras (1) , Jeremie Dequidt (2, 3) , Christian Duriez (3) , Michel Cosson (4) , Stéphane Cotin (5) , M Brieu (1)

1 LML - Laboratoire de Mécanique de Lille - FRE 3723
2 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
3 DEFROST - Deformable Robots Simulation Team
4 CHRU Lille - Centre Hospitalier Régional Universitaire [CHU Lille]
5 MIMESIS - Computational Anatomy and Simulation for Medicine

In the context of the female pelvic medicine, non-invasive Magnetic Resonance Imaging (MRI) is widely used for the diagnosis of pelvic floor disorders. Nowadays in the clinical routine, diagnoses rely largely on human interpretation of medical images, on the experience of physicians, with sometimes subjective interpretations. Hence, image correlation methods would be an alternative way to assist physicians to provide more objective analyses with standard procedures and parametrization for patient-specific cases. Moreover, the main symptoms of pelvic system pathologies are abnormal mobilities. The FEM (Finite Element Model) simulation is a powerful tool for understanding such mobilities. Both the patient-specific simulation and the image analysis require accurate and smooth geometries of the pelvic organs. This paper introduces a new method that can be classified as a model-to-image correlation approach. The method performs fast semi-automatic detection of the bladder, vagina and rectum from MR images for geometries reconstruction and further study of the mobilities. The approach consists of fitting a B-spline model to the organ shapes in real images via a generated virtual image. We provided efficient, adaptive and consistent segmentation on a dataset of 19 patient images (healthy and pathological).

Mots clés: B-spline; MR images; pelvic organs detection; virtual image correlation

Domaines: Informatique [cs]; Imagerie médicale; Biomécanique [physics.med-ph]

Zhifan Jiang, Jean-Francois Witz, M Lecomte-Grosbras, Jeremie Dequidt, Christian Duriez, et al.. B-spline Based Multi-organ Detection in Magnetic Resonance Imaging. Strain, 2015, 51, pp.235 - 247. ⟨10.1111/str.12136⟩. ⟨hal-01204589v2⟩