Dr. Christian Barillot Profile

Dr. Christian Barillot

PhD at IRISA

SPIE Involvement:

Author

Publications (23)

Proceedings Article | 20 March 2015 Paper

Robust detection of multiple sclerosis lesions from intensity-normalized multi-channel MRI

Yogesh Karpate, Olivier Commowick, Christian Barillot

Proceedings Volume 9413, 941314 (2015) https://doi.org/10.1117/12.2082032

KEYWORDS: Magnetic resonance imaging, Tissues, Expectation maximization algorithms, Brain, Statistical analysis, Neuroimaging, Scanners, Composites, Quantitative analysis, Magnetism

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Proceedings Article | 13 March 2013 Paper

Multiple sclerosis lesions evolution in patients with clinically isolated syndrome

A. Crimi, O. Commowick, J. C. Ferre, A. Maarouf, G. Edan, C. Barillot

Proceedings Volume 8669, 86690I (2013) https://doi.org/10.1117/12.2006647

KEYWORDS: Gadolinium, Magnetic resonance imaging, Nervous system, Pathogens, Data processing, Pathology, Spinal cord, Therapeutics, Scanning probe microscopy, Statistical analysis

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Proceedings Article | 13 March 2013 Paper

Morphological changes in the corpus callosum: a study using joint Riemannian feature spaces

Meena Mani, Anuj Srivastava, Christian Barillot

Proceedings Volume 8669, 866908 (2013) https://doi.org/10.1117/12.2007226

KEYWORDS: Shape analysis, Diffusion tensor imaging, Brain, Principal component analysis, Analytical research, Optical spheres, Visualization, Alzheimer's disease, Anisotropy, Magnetism

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Proceedings Article | 13 March 2010 Paper

Segmentation of the thalamus in multi-spectral MR images using a combination of atlas-based and gradient graph cut methods

Ryan Datteri, Christian Barillot, Benoit Dawant, Jeremy Lecoeur

Proceedings Volume 7623, 76233N (2010) https://doi.org/10.1117/12.844183

KEYWORDS: Image segmentation, Thalamus, Image registration, Image processing algorithms and systems, Detection and tracking algorithms, Algorithm development, Magnetic resonance imaging, Image processing, RGB color model, Medical imaging

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Proceedings Article | 13 March 2010 Paper

Denoising arterial spin labeling MRI using tissue partial volume

Jan Petr, Jean-Christophe Ferre, Jean-Yves Gauvrit, Christian Barillot

Proceedings Volume 7623, 76230L (2010) https://doi.org/10.1117/12.844443

KEYWORDS: Tissues, Magnetic resonance imaging, Denoising, Signal to noise ratio, Medical imaging, Image processing, Current controlled current source, Blood, Spatial resolution, Blood circulation

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Proceedings Article | 13 March 2010 Paper

Improving arterial spin labeling data by temporal filtering

Jan Petr, Jean-Christophe Ferre, Jean-Yves Gauvrit, Christian Barillot

Proceedings Volume 7623, 76233B (2010) https://doi.org/10.1117/12.843960

KEYWORDS: Signal to noise ratio, Blood, Gaussian filters, Magnetic resonance imaging, Neuroimaging, Brain, Image quality, Medical imaging, Image processing, Current controlled current source

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Proceedings Article | 27 March 2009 Paper

Multi-channel MRI segmentation with graph cuts using spectral gradient and multidimensional Gaussian mixture model

Jérémy Lecoeur, Jean-Christophe Ferré, D. Louis Collins, Sean Morrisey, Christian Barillot

Proceedings Volume 7259, 72593X (2009) https://doi.org/10.1117/12.811108

KEYWORDS: Magnetic resonance imaging, RGB color model, Image segmentation, Tissues, Medical imaging, Image processing, Current controlled current source, Neuroimaging, Brain

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Proceedings Article | 29 March 2007 Paper

Computer-aided differential diagnosis in movement disorders using MRI morphometry

S. Duchesne, Y. Roland, M. Verin, C. Barillot

Proceedings Volume 6514, 65140X (2007) https://doi.org/10.1117/12.710841

KEYWORDS: Tissues, Magnetic resonance imaging, Computer aided diagnosis and therapy, Diagnostics, Feature extraction, Data modeling, Brain, Image processing, Pathology, Biological research

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Proceedings Article | 2 March 2007 Paper

Evaluation of a new optimisation algorithm for rigid registration of MRI data

Nicolas Wiest-Daesslé, Pierre Yger, Sylvain Prima, Christian Barillot

Proceedings Volume 6512, 651206 (2007) https://doi.org/10.1117/12.707931

KEYWORDS: Image registration, Rigid registration, Magnetic resonance imaging, Medical imaging, Image processing, Algorithm development, Statistical modeling, Gold, Image resolution, Standards development

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Proceedings Article | 10 March 2006 Paper

Restoration of 3D medical images with total variation scheme on wavelet domains (TVW)

Arnaud Ogier, Pierre Hellier, Christian Barillot

Proceedings Volume 6144, 61441E (2006) https://doi.org/10.1117/12.651235

KEYWORDS: Wavelets, 3D image processing, Magnetic resonance imaging, 3D image restoration, Image processing, Medical imaging, Ultrasonography, Data modeling, Image restoration, Image segmentation

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Proceedings Article | 21 May 1999 Paper

Statistical analysis of brain sulci based on active ribbon modeling

Christian Barillot, Georges Le Goualher, Pierre Hellier, Bernard Gibaud

Proceedings Volume 3661, (1999) https://doi.org/10.1117/12.348586

KEYWORDS: Brain, Statistical analysis, Statistical modeling, 3D modeling, Shape analysis, Numerical modeling, Principal component analysis, Magnetic resonance imaging, Feature extraction, Image segmentation

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Proceedings Article | 7 May 1997 Paper

Visual matching between real and virtual images in image-guided neurosurgery

Pierre Jannin, Alain Bouliou, Jean-Marie Scarabin, Christian Barillot, J. Luber

Proceedings Volume 3031, (1997) https://doi.org/10.1117/12.273931

KEYWORDS: Visualization, Image fusion, 3D image processing, Data fusion, Surgery, Microscopes, 3D displays, Virtual reality, Navigation systems, Image segmentation

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Proceedings Article | 16 April 1996 Paper

Comparison and evaluation of retrospective intermodality image registration techniques

Jay West, J. Michael Fitzpatrick, Matthew Wang, Benoit Dawant, Calvin Maurer, Robert Kessler, Robert Maciunas, Christian Barillot, Didier Lemoine, Andre Collignon, Frederik Maes, Paul Suetens, Dirk Vandermeulen, Petra van den Elsen, Paul Hemler, Sandy Napel, Thilaka Sumanaweera, Beth Harkness, Derek Hill, Colin Studholme, Gregoire Malandain, Xavier Pennec, Marilyn Noz, Gerald Maguire, Michael Pollack, Charles Pelizzari, Richard Robb, Dennis Hanson, Roger Woods

Proceedings Volume 2710, (1996) https://doi.org/10.1117/12.237936

KEYWORDS: Image registration, Magnetic resonance imaging, Positron emission tomography, Computed tomography, Gold, Distortion, Image segmentation, Error analysis, Brain, Image processing

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All retrospective image registration methods have attached to them some intrinsic estimate of registration error. However, this estimate of accuracy may not always be a good indicator of the distance between actual and estimated positions of targets within the cranial cavity. This paper describes a project whose principal goal is to use a prospective method based on fiducial markers as a 'gold standard' to perform an objective, blinded evaluation of the accuracy of several retrospective image-to-image registration techniques. Image volumes of three modalities -- CT, MR, and PET -- were taken of patients undergoing neurosurgery at Vanderbilt University Medical Center. These volumes had all traces of the fiducial markers removed, and were provided to project collaborators outside Vanderbilt, who then performed retrospective registrations on the volumes, calculating transformations from CT to MR and/or from PET to MR, and communicated their transformations to Vanderbilt where the accuracy of each registration was evaluated. In this evaluation the accuracy is measured at multiple 'regions of interest,' i.e. areas in the brain which would commonly be areas of neurological interest. A region is defined in the MR image and its centroid C is determined. Then the prospective registration is used to obtain the corresponding point C' in CT or PET. To this point the retrospective registration is then applied, producing C' in MR. Statistics are gathered on the target registration error (TRE), which is the disparity between the original point C and its corresponding point C'. A second goal of the project is to evaluate the importance of correcting geometrical distortion in MR images, by comparing the retrospective TRE in the rectified images, i.e., those which have had the distortion correction applied, with that of the same images before rectification. This paper presents preliminary results of this study along with a brief description of each registration technique and an estimate of both preparation and execution time needed to perform the registration .

Proceedings Article | 16 April 1996 Paper

Three-dimensional segmentation of cortical sulci using active models

Georges Le Goualher, Christian Barillot, Yves Bizais, Jean-Marie Scarabin

Proceedings Volume 2710, (1996) https://doi.org/10.1117/12.237928

KEYWORDS: Brain, 3D modeling, Magnetic resonance imaging, Cerebral cortex, Image segmentation, Visualization, Modeling, 3D visualizations, Data modeling, Feature extraction

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Proceedings Article | 12 May 1995 Paper

Bayesian approach to the brain image matching problem

James Gee, Lionel Le Briquer, Christian Barillot, David Haynor, Ruzena Bajcsy

Proceedings Volume 2434, (1995) https://doi.org/10.1117/12.208686

KEYWORDS: Brain mapping, Brain, Associative arrays, Neuroimaging, Error analysis, Tissues, Data modeling, Information technology, Image classification, Infrared imaging

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Proceedings Article | 9 September 1994 Paper

Information system to manage anatomical knowledge and image data about brain

Christian Barillot, Bernard Gibaud, E. Montabord, S. Garlatti, N. Gauthier, I. Kanellos

Proceedings Volume 2359, (1994) https://doi.org/10.1117/12.185203

KEYWORDS: Brain, Surgery, Neuroimaging, Computing systems, Telecommunications, Brain mapping, Databases, Magnetic resonance imaging, Navigation systems, Imaging systems

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Proceedings Article | 9 September 1994 Paper

Matching structural images of the human brain using statistical and geometrical image features

James Gee, Christian Barillot, Lionel Le Briquer, David Haynor, Ruzena Bajcsy

Proceedings Volume 2359, (1994) https://doi.org/10.1117/12.185179

KEYWORDS: Brain, Neuroimaging, Chemical elements, Tissues, Image registration, Image classification, Image fusion, Image resolution, Information technology, Image filtering

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Proceedings Article | 1 May 1994 Paper

Multimodal registration system for the fusion of MRI, CT, MEG, and 3D or stereotactic angiographic data

Didier Lemoine, Eric Lussot, Damien Legeard, Christian Barillot

Proceedings Volume 2164, (1994) https://doi.org/10.1117/12.174032

KEYWORDS: Image registration, Magnetic resonance imaging, Angiography, Data fusion, Medical imaging, Magnetoencephalography, Data storage, Image processing, Computed tomography, Data acquisition

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Proceedings Article | 14 September 1993 Paper

Using local extremum curvatures to extract anatomical markers from medical images

Lionel Le Briquer, Frederic Lachmann, Christian Barillot

Proceedings Volume 1898, (1993) https://doi.org/10.1117/12.154542

KEYWORDS: Image processing, Data fusion, Image fusion, Brain, Magnetic resonance imaging, Computed tomography, Medical imaging, 3D image processing, Data modeling, Image segmentation

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Proceedings Article | 1 June 1992 Paper

Brain tissue classification from MRI data by means of texture analysis

Frederic Lachmann, Christian Barillot

Proceedings Volume 1652, (1992) https://doi.org/10.1117/12.59413

KEYWORDS: Magnetic resonance imaging, Fractal analysis, Image processing, Medical imaging, Image classification, 3D image processing, Brain, Image segmentation, Tissues, Statistical analysis

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Proceedings Article | 1 June 1991 Paper

Three-dimensional display of MRI data in neurosurgery: segmentation and rendering aspects

Christian Barillot, Frederic Lachmann, Bernard Gibaud, Jean-Marie Scarabin

Proceedings Volume 1445, (1991) https://doi.org/10.1117/12.45202

KEYWORDS: Fuzzy logic, Magnetic resonance imaging, Brain, Image segmentation, 3D displays, Image processing, Binary data, 3D image processing, Surgery, 3D magnetic resonance imaging

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Proceedings Article | 1 May 1991 Paper

Stereotactic multibeam radiation therapy system in a PACS environment

Francoise Fresne, G. Le Gall, Christian Barillot, Bernard Gibaud, Jean-Pierre Manens, Christine Toumoulin, Didier Lemoine, C. Chenal, Jean-Marie Scarabin

Proceedings Volume 1444, (1991) https://doi.org/10.1117/12.45152

KEYWORDS: 3D displays, 3D acquisition, Radiotherapy, 3D image processing, Angiography, Head, Skin, Picture Archiving and Communication System, Computed tomography, 3D modeling

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Proceedings Article | 1 July 1990 Paper

PC software package to confront multimodality images and a stereotactic atlas in neurosurgery

Christian Barillot, Didier Lemoine, Bernard Gibaud, P. Toulemont, Jean-Marie Scarabin

Proceedings Volume 1232, (1990) https://doi.org/10.1117/12.18855

KEYWORDS: Magnetic resonance imaging, Data modeling, Image registration, 3D modeling, In vivo imaging, Picosecond phenomena, Angiography, 3D displays, 3D acquisition, Brain

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