In this paper we present an~efficient and robust vertebra segmentation algorithm for CT data. It proved reliable even for cases with damaged vertebrae or missing intervertebral discs. The resulting segmentation is then used to define the corresponding regions of interest in a piecewise rigid registration of the spine between CT and MR datasets of the same patient. The resulting deformation field has been extended to the surrounding soft tissue by smooth interpolation
Medical Image Processing is a growing field in medicine and plays an important role in medical decis...
International audienceIn this paper, we introduce a novel and efficient approach for inferring artic...
Computer Assisted Spinal Surgery requires the development of a 3-D image of a patient’s spine. A met...
Multi-modality imaging studies are becoming more widely utilized inthe analysis of medical data. Ana...
The Problem: Our intention is to find a non-rigid transformation in 3D that provides a registration ...
In this doctoral thesis, the design of algorithms enabling the implementation of a fully automatic s...
Segmentation of vertebral bodies is useful for diagnosis of certain spine pathologies, such as scoli...
We propose a semi-automatic algorithm for the segmentation of vertebral bodies in magnetic resonance...
We propose a semi-automatic algorithm for the segmentation of vertebral bodies in magnetic resonance...
Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are two of the most informative modali...
Segmentation of vertebral structures in magnetic resonance (MR) images is challenging because of poo...
A multiple center milestone study of clinical vertebra segmentation is presented in this paper. Vert...
Automatic localization and identification of vertebrae in medical images of the spine are core requi...
The surgical treatment of injuries to the spine often requires the placement of pedicle screws. To p...
The study introduces a novel method for automatic segmentation of vertebral column tissue from MRI i...
Medical Image Processing is a growing field in medicine and plays an important role in medical decis...
International audienceIn this paper, we introduce a novel and efficient approach for inferring artic...
Computer Assisted Spinal Surgery requires the development of a 3-D image of a patient’s spine. A met...
Multi-modality imaging studies are becoming more widely utilized inthe analysis of medical data. Ana...
The Problem: Our intention is to find a non-rigid transformation in 3D that provides a registration ...
In this doctoral thesis, the design of algorithms enabling the implementation of a fully automatic s...
Segmentation of vertebral bodies is useful for diagnosis of certain spine pathologies, such as scoli...
We propose a semi-automatic algorithm for the segmentation of vertebral bodies in magnetic resonance...
We propose a semi-automatic algorithm for the segmentation of vertebral bodies in magnetic resonance...
Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are two of the most informative modali...
Segmentation of vertebral structures in magnetic resonance (MR) images is challenging because of poo...
A multiple center milestone study of clinical vertebra segmentation is presented in this paper. Vert...
Automatic localization and identification of vertebrae in medical images of the spine are core requi...
The surgical treatment of injuries to the spine often requires the placement of pedicle screws. To p...
The study introduces a novel method for automatic segmentation of vertebral column tissue from MRI i...
Medical Image Processing is a growing field in medicine and plays an important role in medical decis...
International audienceIn this paper, we introduce a novel and efficient approach for inferring artic...
Computer Assisted Spinal Surgery requires the development of a 3-D image of a patient’s spine. A met...