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BioImaging Track (BIm)
http://www.bme-paris.org
Track chairs:Track chairs:• E. Angelini , PhD (Telecom ParisTech)E. Angelini , PhD (Telecom ParisTech)
• F. Cloppet , PhD (Univ. Paris Descartes)F. Cloppet , PhD (Univ. Paris Descartes)
• C. Oppenheim , MD (Univ. Paris Descartes)C. Oppenheim , MD (Univ. Paris Descartes)
BME Master 2 – BioImaging Track (BIM)
Bioimaging is an exciting field at the interface between Mathematics, computer science, chemistry, physics, life science, biology and medicine.
The main goal of Bioimaging is to improve human health using imaging modalities to advance diagnosis, treatment and prevention of human disease.
Bio Imaging master track (BIM)
Complementary skills from: University Paris Descartes, Paris Diderot Engineering schools of ParisTech
BIM program: Fifteen courses (UE) at the M2
level. Co-organized by faculty members
experts in the field.
Basic sciences: mathematics, physics,
chemistry
Basic sciences: mathematics, physics,
chemistry
Applied mathematics: signal& image processing,
numerical analysis.
Applied mathematics: signal& image processing,
numerical analysis.
Biology and Medicine: diagnostic tools, innovative screening, contrast agents, biomarkers, image-based
modeling
Biology and Medicine: diagnostic tools, innovative screening, contrast agents, biomarkers, image-based
modeling
BioImaging Track Program: Program Content in 2010-2011
Autumn Semester Autumn Semester (30 (30 ECTSECTS))
Interdisciplinary seminar (6 ECTS)
Physics & Technology of Medical Imaging (6 ECTS)
Chemistry for Imaging (6 ECTS)
Medical Image Analysis (6 ECTS)
Molecular Imaging (3 ECTS)
Functional & Metabolism Imaging (3 ECTS)
Spring Semester Spring Semester (30 (30 ECTSECTS))
BioEngineering Economy and Industry (3 ECTS)
BioEthics
Research Internship – five months (27 ECTS)
BioImaging Track Program: Program Content in 2010-2011
Unit 3.5 Chemistry for Imaging
Person(s) in charge: Y.-M. FRAPART, O. CLEMENT, L. BINET
Content Modern imaging, especially molecular and functional
imaging using chemical contrast agents, and development from small animal imaging.
Courses take place at Paris Descartes University
Unit 3.5 Chemistry for Imaging
Program Molecular probes and contrast agents for imaging:
Synthesis, functionalisation, vectorisation, metabolism …Kinetics and pharmaco kineticsAgreement aspect, scaling up, …Application in different modalities.
State of the art of small animal imaging modalities and their applications:
MRI,CEST, DNP Computed Tomography, Ultra-sounds, Nuclear imaging, EPR imaging, Visit of the different platforms.
Unit 3.5 Chemistry for Imaging
Exam
Quizz (2 hrs) (2/3 of evaluation)
Plate-form visits with short report (1/3 of evaluation)
Technical principle, applications, limitations, on one modality (10-20 p) per student.
Visits can be organized in groups of three students.
Unit 3.6 Physics and Technology Unit 3.6 Physics and Technology of Medical Imagingof Medical Imaging
Person(s) in charge I. Peretti, C. De Bazelaire, E. Bossy
Content Physics and technology of ultrasonic imaging, magnetic
resonance imaging, nuclear medicine, X-ray imaging
Courses take place at Paris Descartes University
Program imaging with non-ionizing radiation:
ultrasonic imaging : ultrasound physics, image reconstruction, transducer technology
magnetic resonance imaging : physical bases of NMR, conventional imaging sequences, chemical shift, high speed imaging, functional imaging
imaging with ionizing radiation:radiation physics, different types of X-ray detectors, X-ray computerized tomographynuclear tomographic imaging
• single photon emission computed tomography• positron emission tomography
Unit 3.6 Physics and Technology of Medical Imaging
Exam1. written* exam (60% of evaluation)
2. project (40% of evaluation)
* (oral or written at the second session)
Unit 3.6 Physics and Technology of Medical Imaging
Unit 3.3 Medical Image Analysis
Person(s) in charge E. Decenciere, F. Cloppet
Content Main objective : to provide the students with the means to
understand and use the most common tools in bio-medical image analysis
Theoretical courses and practical training sessions
Project with PhD students in biomedical image processing
Courses take place at Telecom ParisTech
Unit 3.3 Medical Image Analysis
Main topicsMain topics Foundations of image processingFoundations of image processing Linear image processingLinear image processing Morphological image processingMorphological image processing SegmentationSegmentation Quantification and shape characterizationQuantification and shape characterization Beyond the second dimension : 3D image and temporal Beyond the second dimension : 3D image and temporal
sequencessequences
ExamExam Written test (40% of evaluation)Written test (40% of evaluation) Project (30%)Project (30%) Practical sessions (30%)Practical sessions (30%)
Unit 3.9a Molecular Imaging
Person(s) in charge C.A. Cuenod, D. Leguludec
Content Description of the growing field of molecular imaging. Description of specific targets for molecular imaging and the
way visualize them. The targets will be illustrated in the context of a specific
medical field and when applicable to therapeutic implications.
Program Definition of molecular imaging. Membrane, cellular metabolism and intercellular interactions, Value of molecular imaging in biology and medicine, In vivo maging modalities and multimodal imaging Receptor imaging : (Applications in neurology) Anti-bodies and membrane motifs: (Applications in oncology) Cellular metabolism, trans-membrane transport and viability : (Applications in
cardiology) Non-membranous motifs and enzyme targets: (Applications in liver fibrosis and
arterial thrombosis) Cell Migration and tissue (re)generation, Cell therapy, Imaging of macrophagic cells Drugs tagging , evaluation of therapeutic effects
Unit 3.9a Molecular Imaging
Courses take place at Paris Descartes University
Exam Writing answers to 3 to 4 questions regarding the
course content.
Unit 3.9a Molecular Imaging
Unit 3.10a Functional & Metabolism Imaging
N. Boddaert, B. Van Beers
Brain imaging, N Boddaert 8h30-10h30. C Poupon (Neurospin)
Diffusion-weighted magnetic resonance imaging. The diffusion process in biological tissues. Diffusion sensitization of MRI data. Local modeling of the diffusion process: case of the Diffusion Tensor, model and tractography, anatomical connectivity and applications.
10h30-11h30. P Ciuciu (Neurospin) Functional imaging
12h00-13h00. JC Baron (Cambridge) TEP and MRI: from theory to clinical applications.
LUNCH BREAK OFFERED AT SAINTE-ANNE Hospital
14h30-15h30 N Boddaert/ M Zilbovicius (Necker). Clinical application. Anatomical and functional
imaging in autism 16h00-18h00. C Oppenheim/ AD Devauchelle/ C Mellerio (St Anne).
Hands on. Post processing tools: fMRI, SPM, tractography, perfusion, diffusion
Biomedical Engineering Master – BioImaging TrackBiomedical Engineering Master – BioImaging Track 2020
CourseCourse: 8h30 – 10h30: 8h30 – 10h30 Fast and diffusion-weighted MR imaging. Ralph Sinkus (08h30 – 09h30)Fast and diffusion-weighted MR imaging. Ralph Sinkus (08h30 – 09h30)
Principles and trade-offs of fast imaging for quantitative applications.Principles and trade-offs of fast imaging for quantitative applications. Single and multi-exponential analysis of diffusion-weighted MR imaging.Single and multi-exponential analysis of diffusion-weighted MR imaging.
Perfusion imaging. Charles-André Cuénod (09h30 – 10h30)Perfusion imaging. Charles-André Cuénod (09h30 – 10h30)
Dynamic contrast enhanced imaging for perfusion quantificationDynamic contrast enhanced imaging for perfusion quantification
CourseCourse: 11h00 – 13h00: 11h00 – 13h00 Elastography. Elastography. Ralph SinkusRalph Sinkus
Principles of static and dynamic elastography.Principles of static and dynamic elastography. Ultrasound and MR elastography.Ultrasound and MR elastography. Analysis of elastography, viscosity, and multi-frequency parameters.Analysis of elastography, viscosity, and multi-frequency parameters.
CourseCourse: 14h15 – 16h00: 14h15 – 16h00 Perfusion imaging and fat quantification. Perfusion imaging and fat quantification. Bernard Van BeersBernard Van Beers
Applications of quantitative perfusion imaging in liver diseases and abdominal tumors.Applications of quantitative perfusion imaging in liver diseases and abdominal tumors. Methods and applications of fat quantification.Methods and applications of fat quantification.
Diffusion-weighted MR imaging. Diffusion-weighted MR imaging. Bernard Van BeersBernard Van Beers Value and limitations of diffusion-weighted MR imagingValue and limitations of diffusion-weighted MR imaging in liver diseases and abdominal tumors:in liver diseases and abdominal tumors:
CourseCourse: 16h20 – 18h00: 16h20 – 18h00 Elastography. Elastography. Bernard Van BeersBernard Van Beers
Value and limitations of elastographyValue and limitations of elastography in liver diseases and abdominal tumors: detection, characterization in liver diseases and abdominal tumors: detection, characterization and assessment of response to treatment.and assessment of response to treatment.
Biomarkers: RECIST criteria and beyond. Biomarkers: RECIST criteria and beyond. Valérie VilgrainValérie Vilgrain Response evaluation criteria in solid tumors (RECIST), modified RECIST and advanced biomarkers to Response evaluation criteria in solid tumors (RECIST), modified RECIST and advanced biomarkers to
assess the response to targeted treatments.assess the response to targeted treatments.
Unit 3.10a Functional & Metabolism Imaging
Courses take place at
29 November 2010 at St Anne Hospital
9 December 2010 at Paris Descartes
Exam
Writing exam: 2 hours.
Multiple choices questions
Unit 3.10a Functional & Metabolism Imaging
BIM Research Labs Image Processing Labs:
Telecom ParisTech: Medical image processing group Paris Descartes – UFR Mathematics-Computer Sciences Mines ParisTech: Biological image processing
Radiology Labs: Hospitals Ste Anne, HEGP, Lariboisière,…. PARCC Paris Cardiovascular Center of Research
Biological Imaging Labs: Animal imaging platform: Microscopy, Spectroscopy via
Electronic Paramagnetic Resonance, Institut d’Optique Graduate School ParisTech ENSTA ParisTech: Laser-tissue interactions ESPCI: novel elastography ultrasound imaging
Chemistry Labs: Chimie ParisTech University Paris Descartes
BIM: after the M2….
R&D engineer: Main industrials of whole body screening: GE, Philips, Siemens Startups in medical imaging: Supersonic, Echosens,… Biological imaging: Biospace Lab, Leica,… Pharmaceutical companies: Sanofi Aventis, Guerbet, … Medical Imaging Software: Dosisoft, Additional: Loreal,….
PhD student: Medical image processing Medical imaging Biological imaging