A PROBABILISTIC OBJECTIVE FUNCTION FOR 3D RIGID REGISTRATION OF INTRAOPERATIVE US AND PREOPERATIVE MR BRAIN IMAGES

Pierrick Coupé 1 Pierre Hellier 1 Xavier Morandi 1 Christian Barillot 1
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : The registration of intraoperative Ultrasound (US) with preoperative Magnetic Resonance (MR) images is a challenging problem due to the difference of information contained in each image modality. To overcome this difficulty, we introduce a new probabilistic function for similarity measurements based on the mean curvature of MR isophots and US hyperchogenic structures. Experiments were carried out on 3 patients and compared with three other registration approaches. The results show that the proposed method converges robustly compared to the standard registration techniques, with a computational time compatible with intraoperative use.
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Communication dans un congrès
IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Apr 2007, Washington DC, USA, United States. pp.1320-1323, 2007, Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on. 〈10.1109/ISBI.2007.357103〉
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Soumis le : mardi 15 mai 2007 - 16:26:16
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Pierrick Coupé, Pierre Hellier, Xavier Morandi, Christian Barillot. A PROBABILISTIC OBJECTIVE FUNCTION FOR 3D RIGID REGISTRATION OF INTRAOPERATIVE US AND PREOPERATIVE MR BRAIN IMAGES. IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Apr 2007, Washington DC, USA, United States. pp.1320-1323, 2007, Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on. 〈10.1109/ISBI.2007.357103〉. 〈inria-00147025〉

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