hosted by
publicationslist.org
    
romain viard
Inserm Unité 703
Institut de Technologie Médicale
Pavillon Vancostenobel
CHRU de Lille
59 037 Lille Cedex
r-viard@chru-lille.fr
Romain Viard
Né le 02 avril 1979

° Automatique et Informatique Industrielle - Doctorat en 2007à l'Université de Lille I (Villeneuve d’Ascq)
° Sciences De l'Ingénieur, Automatique et Informatique Industrielle - MASTER II recherche en 2004 à l'Université de Lille I (Villeneuve d’Ascq)
° Imagerie Electronique option médicale et biologique -MASTER II en 2002 à l'Université Pierre et Marie Curie (Paris VI)
° Système d’Information et Réseau - LICENCE & MASTER I en 2001 à l'I.U.P Système d’Information et Réseau (Vannes)
° Mathématique & Informatique - LICENCE 1ère année () en 1998à l' UFR Sciences Mathématique & Informatique (Caen)

Membre du GDR Isis (Information, Signal, Images et Vision)
Membre du GDR Stic-Santé (Groupe Signaux et Images en santé)
Membre de la Société Française de Génie Biologique et Médicale

Journal articles

2007
2005
 
DOI 
N Betrouni, M Vermandel, D Pasquier, R Viard, S Maouche (2005)  Reduction de speckle et modelisation pour la segmentation d'images echographiques de la prostate   ITBM-RBM 26: 4. 276-278 09  
Abstract: This article discusses a method for automatic prostate segmentation from abdominal ultrasound images. A statistical model of prostate is estimated from training set of manually delineated images. The segmentation starts by smoothing the image to enhance edges by applying a special filter designed for abdominal ultrasound images of prostate. It detects individual speckles and removes them, while it preserves valuable details. Then the boundary is initialised starting from the model and an heuristic optimisation scheme is applied to guide the search of the final form. The performances of the algorithm were compared with manual segmentation, the average contour distance was 2.0 mm and the coverage index was about 93%.
Notes:

Book chapters

2003

Conference papers

2007
 
DOI 
R Viard, B Piron, A Steiner, B Wassmer, J Rousseau, S Mordon (2007)  Laser-induced interstitial thermal therapy: correlation between lesion size and temperature mapping using low-field MRI.   In: Lasers in Surgery and Medicine 46-50  
Abstract: Background and Objectives: The introduction of open MRI systems has made possible the use of reproducible thermosensitive sequences in order to determine the temperature distribution inside biological tissue. This study aimed to perform thermal mapping during Laser-induced Interstitial Thermal Therapy (LITT) when using this technique. Study Design/Materials and Methods: Laser irradiation was performed with a 980nm laser (Pharaon, Osyris France) in porcine liver ex-vivo in a low-field open scanner (Hitachi Airis 0.2 T). The laser light was transmitted through a 1040 μm (outer diameter) bare-tip silica fibre. The laser energy was applied on an intermittent mode (10 s laser-on, 10 s laser-off) for 12 minutes, power: 6W, energy: 2360 J. MR-T1 method was used for its simplicity and its efficiency at low magnetic field. Gradient-echo images acquired during laser irradiation were used for real-time temperature mapping. The method was then validated by a comparison between calculated isotherm and macroscopic lesion size. Results: Images of sufficient quality were obtained with a mean SNR of 50.0. Temperature accuracy was 2.2 °C, temporal resolution was 20 sec. and spatial resolution was 2.5*2.5*2.5 mm3. Coagulation necrosis was observed in all laser-irradiated zones. Volumes calculated from isotherms were correlated (r2=0.64 p<0.05) to lesion size determined from macroscopic measurement Conclusion: Using fast gradient-echo sequence, laser monitoring is achieved efficiently with a fast temperature mapping. Using T1-weighted images appears promising for a monitoring of lesion size evolution in future low magnetic filed in-vivo studies.
Notes:
2006
2003
Powered by publicationslist.org.