http://www.ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4193197&arnumber=4193537&count=356&index=339The 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
Image registration is an important problem with several applications in Medical Imaging. Intra-subje...
International audienceA new registration method for ultrasound volumes relying on on a statistical t...
This master-thesis considers implementation of automated multimodal volume-to-volume registration of...
http://www.ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4193197&arnumber=4193537&count=356&index=33...
International audienceThe registration of intraoperative ultrasound (US) images with pre- operative ...
International audienceWe present a new image-based technique to rigidly register intraoperative thre...
During a neurosurgical intervention, the brain tissues shift and warp. In order to keep an accurate...
Abstract. Automatic and robust registration of pre-operative magnetic resonance imaging (MRI) and in...
International audienceIn this paper, a global approach based on 3D freehand ultrasound imaging is pr...
A probabilistic objective function for 3D rigid registration of intraoperative us and preoperative M...
Purpose: The brain undergoes significant structural change over the course of neurosurgery, includin...
Knowledge of the exact tumor location and structures at risk in its vicinity are crucial for neurosu...
Medical image registration is a critical image processing task in many applications such as image-gu...
International audienceWe present a new algorithm to register 3D pre-operative Magnetic Resonance (MR...
US-guided neuronavigation exploits the simplicity of use and minimal invasiveness of Ultrasound (US)...
Image registration is an important problem with several applications in Medical Imaging. Intra-subje...
International audienceA new registration method for ultrasound volumes relying on on a statistical t...
This master-thesis considers implementation of automated multimodal volume-to-volume registration of...
http://www.ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4193197&arnumber=4193537&count=356&index=33...
International audienceThe registration of intraoperative ultrasound (US) images with pre- operative ...
International audienceWe present a new image-based technique to rigidly register intraoperative thre...
During a neurosurgical intervention, the brain tissues shift and warp. In order to keep an accurate...
Abstract. Automatic and robust registration of pre-operative magnetic resonance imaging (MRI) and in...
International audienceIn this paper, a global approach based on 3D freehand ultrasound imaging is pr...
A probabilistic objective function for 3D rigid registration of intraoperative us and preoperative M...
Purpose: The brain undergoes significant structural change over the course of neurosurgery, includin...
Knowledge of the exact tumor location and structures at risk in its vicinity are crucial for neurosu...
Medical image registration is a critical image processing task in many applications such as image-gu...
International audienceWe present a new algorithm to register 3D pre-operative Magnetic Resonance (MR...
US-guided neuronavigation exploits the simplicity of use and minimal invasiveness of Ultrasound (US)...
Image registration is an important problem with several applications in Medical Imaging. Intra-subje...
International audienceA new registration method for ultrasound volumes relying on on a statistical t...
This master-thesis considers implementation of automated multimodal volume-to-volume registration of...