 |
Book sections
Traumatic Brain Lesion Quantification based on Mean Diffusivity Changes
Christophe Maggia
1
Thomas Mistral
2
Senan Doyle
3
Florence Forbes
4
Alexandre Krainik
1
Damien Galanaud
5
Emmanuelle Schmitt
6
Stéphane Kremer
7
Irène Troprès
8
Emmanuel Barbier
1
Jean-François Payen
1
Michel Dojat
1
4
MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Christophe Maggia 1
Mail :
Author Employer institution : [GIN] Grenoble Institut des Neurosciences
Thomas Mistral 2
Author
Senan Doyle 3
Mail :
Author Employer institution : Pixyl Medical [Grenoble]
Florence Forbes 4
Mail : Site :
Author Employer institution : Institut National de Recherche en Informatique et en Automatique IdHAL : florence-forbes
Alexandre Krainik 1
Author
Damien Galanaud 5
Author
Emmanuelle Schmitt 6
Mail :
Author
Stéphane Kremer 7
Author
Irène Troprès 8
Mail :
Author IdHAL : irene-tropres
Emmanuel L. Barbier 1
Author
Jean-François Payen 1
Author
Michel Dojat 1
Mail :
Author IdHAL : michel-dojat ORCID : https://orcid.org/0000-0003-2747-6845
1
GIN - Grenoble Institut des Neurosciences (UJF - Site Santé La Tronche - BP 170 - 38042 Grenoble Cedex 9. - France)
- UJF - Université Joseph Fourier - Grenoble 1 (BP 53 - 38041 Grenoble Cedex 9 - France)
- CHU - Centre Hospitalier Universitaire [Grenoble] (CS 10217 38043 Grenoble cedex 9 - France)
- INSERM - Institut National de la Santé et de la Recherche Médicale : U1216 (101, rue de Tolbiac, 75013 Paris - France)
2
UGA UFRM - Université Grenoble Alpes - UFR Médecine (Domaine de la Merci - 38706 La Tronche cedex - France)
- UGA - Université Grenoble Alpes (CS 40700 - 38058 Grenoble cedex - France)
3
Pixyl Medical [Grenoble] (655 Avenue de l'Europe
38330 Montbonnot-Saint-Martin - France)
4
MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems (Inria Grenoble - Rhône-Alpes 655 avenue de l'Europe - Montbonnot 38334 Saint Ismier Cedex - France)
- Inria Grenoble - Rhône-Alpes (Inovallée
655 avenue de l'Europe
38330 Montbonnot - France)
- Inria - Institut National de Recherche en Informatique et en Automatique (Domaine de Voluceau Rocquencourt - BP 105 78153 Le Chesnay Cedex - France)
- LJK - Laboratoire Jean Kuntzmann (Bâtiment IMAG, CS 40700, F-38058 Grenoble Cedex 9 - France)
- UPMF - Université Pierre Mendès France - Grenoble 2 (BP 47 - 38040 Grenoble Cedex 9 - France)
- UJF - Université Joseph Fourier - Grenoble 1 (BP 53 - 38041 Grenoble Cedex 9 - France)
- Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology (46 avenue Félix Viallet 38031 Grenoble Cedex 1 - France)
- UGA - Université Grenoble Alpes (CS 40700 - 38058 Grenoble cedex - France)
- CNRS - Centre National de la Recherche Scientifique : UMR5224 (France)
- Institut Polytechnique de Grenoble - Grenoble Institute of Technology (France)
- Inria - Institut National de Recherche en Informatique et en Automatique (Domaine de Voluceau Rocquencourt - BP 105 78153 Le Chesnay Cedex - France)
- INPG - Institut National Polytechnique de Grenoble (46 avenue Félix Viallet 38031 Grenoble Cedex 1 - France)
5
Service de neuro-radiologie [CHU Pitié-Salpêtrière] (47-83, boulevard de l'Hôpital 75651 PARIS Cedex 13 - France)
- APHP - Assistance publique - Hôpitaux de Paris (AP-HP) (France)
- CHU Pitié-Salpêtrière [APHP] (47-83 Boulevard de l'Hôpital, 75013 Paris - France)
6
CHRU Nancy - Centre Hospitalier Régional Universitaire de Nancy (Siège social : 29 avenue du Maréchal de Lattre de Tassigny, CO 60034, 54035 NANCY CEDEX
Hôpital Central : 29 Avenue du Maréchal de Lattre de Tassigny, 54035 Nancy
Hôpitaux de Brabois / Enfants : Rue du Morvan, 54500 Vandœuvre-lès-Nancy
Maternité régionale :10 Avenue Dr Heydenreich, 54000 Nancy - France)
7
Service de radiologie [Strasbourg] (France)
- CHU Strasbourg (France)
- Hôpital de Hautepierre [Strasbourg] (Avenue Molière 67200 Strasbourg - France)
8
RBCH - RMN biomédicale : de la cellule à l'homme (Unité IRM BP 217 38043 GRENOBLE CEDEX 9 - France)
- UPMF - Université Pierre Mendès France - Grenoble 2 (BP 47 - 38040 Grenoble Cedex 9 - France)
- UJF - Université Joseph Fourier - Grenoble 1 (BP 53 - 38041 Grenoble Cedex 9 - France)
- CHU Grenoble (France)
- DIR CENTRALE DU SSA (France)
- INSERM - Institut National de la Santé et de la Recherche Médicale : IFR1 (101, rue de Tolbiac, 75013 Paris - France)
- CNRS - Centre National de la Recherche Scientifique : IFR1 (France)
Abstract : We report the evaluation of an automated method for quantification of brain tissue damage, caused by a severe traumatic brain injury, using mean diffusivity computed from MR diffusion images. Our automatic results obtained on realistic phantoms and real patient images 10 days post-event provided by nine different centers were coherent with four expert manually identified lesions. For realistic phantoms automated method scores were equal to 0.77, 0.77 and 0.83 for Dice, Precision and Sensibility respectively compared to 0.78, 0.72 and 0.86 for the experts. The inter correlation class (ICC) was 0.79. For 7/9 real cases 0.57, 0.50 and 0.70 were respectively obtained for automated method compared to 0.60, 0.52 and 0.78 for experts with ICC=0.71. Additionally, we detail the quality control module used to pool data from various image provider centers. This study clearly demonstrates the validity of the proposed automated method to eventually compute in a multi-centre project, the lesional load following brain trauma based on MD changes.
Domain :
Complete list of metadatas
https://hal.archives-ouvertes.fr/hal-01704679
Contributor : Florence Forbes <>
Submitted on : Thursday, February 8, 2018 - 4:07:04 PM
Last modification on : Thursday, March 26, 2020 - 8:49:33 PM
Document(s) archivé(s) le : Friday, May 4, 2018 - 2:37:09 PM
Contributor : Florence Forbes <>
Submitted on : Thursday, February 8, 2018 - 4:07:04 PM
Last modification on : Thursday, March 26, 2020 - 8:49:33 PM
Document(s) archivé(s) le : Friday, May 4, 2018 - 2:37:09 PM
File
FINALE-Maggia2017.pdf
Files produced by the author(s)
Identifiers
- HAL Id : hal-01704679, version 1
- DOI : 10.1007/978-3-319-75238-9_8
Citation
Christophe Maggia, Thomas Mistral, Senan Doyle, Florence Forbes, Alexandre Krainik, et al.. Traumatic Brain Lesion Quantification based on Mean Diffusivity Changes. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, BrainLes (MICCAI), 10670, Springer, pp.88-99, 2018, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-75238-9_8⟩. ⟨hal-01704679⟩
Metrics
Record views
648
Files downloads
