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.

BME Master 2 – BioImaging Track (BIM)

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

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