Research Laboratories

Research Team EA 4108
Quantif Medical Imaging Group (LITIS)

QuantIF


Head


Pr Vera - Pr Su Ruan


Contact


QuantIF - LITIS EA 4108
Faculty of Medicine and Pharmacy
22 Boulevard Gambetta
76183 Rouen Cedex, France
Phone: +33 232 0822 58

pierre.vera@chb.unicancer.fr
su.ruan@univ-rouen.fr

http://www.litislab.fr/equipe/quantif/


Research Topics


Optimization and quantification in functional imaging (nuclear, magnetic and optical) for inflammation and cancer, particularly:
  • Optimization of PET-CT volume measurements for the definition of Gross Tumor Volume (GTV) in external radiotherapy and prognostic value of functional imaging during radiotherapy
  • Automatic segmentation of organs or tumors in MRI, PET / CT, using deep learning and artificial intelligence
  • Radiomics for outcome prediction in clinical treatment and therapeutic follow-up using PET / CT / MRI.
  • Fusion of multimodality, such as PET-CT, multi-parametric MRI for improving clinical treatments
  • Optimization of synchronized imaging (synchronized cardiac TEMP, synchronized pulmonary PET / CT)
  • Analysis and classification of in vivo confocal microscopy images

Composition


  • 15 staffs (teacher-researchers, physicians, medical physicist, engineers, technicians)
  • 5 PhD students
  • 1 Postdoctoral researcher
  • Master students

Facilities


  • Small animal imaging: micro-MRI 4.7T, microSPECT-CT and echography
  • Computer science laboratory
  • 2 Medical imaging departments: Radiology Dept of Rouen University Hospital and Nuclear Medicine Dept of the Henri Becquerel Cancer Centre: MRI (1/2 dedicated to clinical research), CT-scan, SPECT-CT, PET-CT, echography
  • Radiotherapy Dept: 3 linear accelerators, intensity modulated radiation therapy (IMRT)

Activity


Quantif Medical Imaging group is one of 7 terms of the LITIS laboratory (Director: Thierry Paquet). The group aims at quantifying and characterizing healthy and pathological tissues using functional imaging modalities for humans and small animals (MRI, PET-CT, CT and SPECT-CT). The objective is to optimize radiation treatment for cancers. The developed techniques are based on image processing, machine learning and pattern recognition, information fusion, phantom studies (physical and numerical using Monte-Carlo simulations techniques).  The group collaborates with different labs of Rouen University [Inserm U1245, COBRA,…] and is pilot of axe 3 of the north-west Cancéropôle (imaging and radiotherapy). The group has close collaborations with international teams (USA, Belgium, Germany, China,…) and industrial companies (Siemens, GE medical Systems, Aquilab, Dosisoft,...).


Main Contributions


  • Use of hypoxia PET during RT
  • Optimization of volumes measurements in PET-CT for the definition of "Gross Tumor Volume (GTV)" in external beam radiation
  • Automatic detection of body mass in CT and MRI
  • Outcome prediction in clinical treatment and therapeutic follow-up using functional imaging during radiotherapy to evaluate patients prognostic
  • Classification of in vivo confocal fluorescence microscopy images for diagnostic
  • Multimodality imaging fusion for tumor segmentation
  • Optimizing the gated imaging (heart gated-SPECT, lung gated PET)

Main Publications


2015

  • Calais J, Thureau S, Dubray B, Modzelewski R, Thiberville L, Gardin I and Vera P. Areas of High 18F-FDG Uptake on Preradiotherapy PET/CT Identify Preferential Sites of Local Relapse After Chemoradiotherapy for Non-Small Cell Lung Cancer. J Nucl Med 2015, 56: 196-203. doi.
    25572091

2014

  • Mi H, Petitjean C, Dubray B, Vera P and Ruan S. Prediction of lung tumor evolution during radiotherapy in individual patients with PET. IEEE Trans Med Imaging 2014, 33: 995-1003. do.
    24710167
  • Rakotomamonjy A, Petitjean C, Salaün M and Thiberville L. Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images. Artif Intell Med 2014, 61: 105-18. doi.
    24877616
  • Vera P, Mezzani-Saillard S, Edet-Sanson A, Ménard JF, Modzelewski R, Thureau S, Meyer ME, Jalali K, Bardet S, Lerouge D, Houzard C, Mornex F, Olivier P, Faure G, Rousseau C, Mahé MA, Gomez P, Brenot-Rossi I, Salem N and Dubray B. FDG PET during radiochemotherapy is predictive of outcome at 1 year in non-small-cell lung cancer patients: a prospective multicentre study (RTEP2). Eur J Nucl Med Mol Imaging 2014, 41: 1057-65. doi.
    24562641

2012

  • Désir C, Petitjean C, Heutte L, Salaün M and Thiberville L. Classification of endomicroscopic images of the lung based on random subwindows and extra-trees. IEEE Trans Biomed Eng 2012, 59: 2677-83.
    22907955
  • Salaün M, Roussel F, Bourg-Heckly G, Vever-Bizet C, Dominique S, Genevois A, Jounieaux V, Zalcman G, Bergot E, Jean-Michel V and Thiberville L. In vivo probe-based confocal laser endomicroscopy in amiodarone-related pneumonia. Eur Respir J 2012
    23018901

2011

  • Hapdey S, Buvat I, Carson JM, Carrasquillo JA, Whatley M and Bacharach SL. Searching for alternatives to full kinetic analysis in 18F-FDG PET: an extension of the simplified kinetic analysis method. J Nucl Med 2011, 52: 634-41.
    21421718
  • Vera P, Bohn P, Edet-Sanson A, Salles A, Hapdey S, Gardin I, Ménard JF, Modzelewski R, Thiberville L and Dubray B. Simultaneous positron emission tomography (PET) assessment of metabolism with 18F-fluoro-2-deoxy-d-glucose (FDG), proliferation with 18F-fluoro-thymidine (FLT), and hypoxia with 18fluoro-misonidazole (F-miso) before and dur. Radiother Oncol 2011, 98: 109-16.
    21056487

2010

  • Salaün M, Roussel F, Hauss PA, Lachkar S and Thiberville L. In vivo imaging of pulmonary alveolar proteinosis using confocal endomicroscopy. Eur Respir J 2010, 36: 451-3.
    20675784
  • Tylski P, Stute S, Grotus N, Doyeux K, Hapdey S, Gardin I, Vanderlinden B and Buvat I. Comparative assessment of methods for estimating tumor volume and standardized uptake value in (18)F-FDG PET. J Nucl Med 2010, 51: 268-76.
    20080896