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.
Complete list of metadatas

Cited literature [13 references]  Display  Hide  Download

https://hal.inria.fr/inria-00147025
Contributor : Pierrick Coupé <>
Submitted on : Tuesday, May 15, 2007 - 4:26:16 PM
Last modification on : Monday, March 4, 2019 - 2:07:48 PM
Long-term archiving on : Wednesday, April 7, 2010 - 3:37:28 AM

File

Coupe_ISBI2007.pdf
Files produced by the author(s)

Identifiers

Citation

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, IEEE Signal Processing Society (SPS) and the IEEE Engineering in Medicine and Biology Society (EMBS), Apr 2007, Washington DC, USA, United States. pp.1320-1323, ⟨10.1109/ISBI.2007.357103⟩. ⟨inria-00147025⟩

Share

Metrics

Record views

300

Files downloads

187