TIME SLOT
|
SESSION DESCRIPTION
|
LECTURER |
RESOURCES |
Monday,
Nov. 18 a.m.
10:00--12:45 |
- Introduction: Modalities of medical imaging.
Medical & Physical Backgrounds.
- Digital Mammography: Epidemiology and Anatomy
of breast cancers, Physics of X-Radiography, Processing and
Interpretation of mammography images, Technology of mammography
systems, Tomosynthesis, Contrast-Enhanced Spectral Mammography.
|
Serge MULLER
|
|
Monday,
Nov. 18 p.m.
2:00--5:15 |
- Computed Tomography: CT-Scanner Technology,
CT reconstruction algorithms
|
Serge MULLER |
|
Tuesday,
Nov. 19 a.m.
9:00--12:15 |
- Magnetic Resonance Imaging: Magnet –
Nuclear Magnetization, Radiofrequency - Resonance, Relaxation,
Dissipation, Field Gradients – Spatial Encoding, MRI sequences,
Medical applications and future prospects.
|
Luc DARRASSE
|
|
Tuesday,
Nov. 19 p.m.
1:30--4:45 |
- Nuclear Medicine and Molecular Imaging: Principles
of functional imaging - Chemical and physical properties of
radiotracers - Technology of gamma cameras - PET imaging - CT-
and MR- PETs - PET-CT reconstruction algorithms - Motion,
attenuation and scatter corrections - Non stationarity spatial
resolution - Partial volume effect corrections - Future and
challenges
|
Irène BUVAT
|
|
Wednesday,
Nov. 20 a.m.
10:15--12:15 |
- Ultrasound Imaging: Physical principles and
Technology, Ultrafast Ultrasound scanners, Shear wave
elastography, Ultrafast Imaging of Intrinsic waves, Ultrafast
Doppler and fUltrasound Imaging of brain activity, Applications
to neurosurgery.
|
Jean-Luc
GENNISSON |
|
Wednesday,
Nov. 20 p.m.
1:30--3:30 |
- Medical Robotics: Introduction to robotics -
Introduction to medical robotics - Design and development of
medical robots - Ex1: design and development of a force feedback
master arm for telesurgery - Ex2: design and development of a
surgical training station in VR - Ex3: design and development of
a surgical collaborative robot
|
Florian GOSSELIN
|
|
Wednesday,
Nov. 20 p.m.
3:45--5:45 |
- Medical Image Interpretation: 3d image
registration - Geometric vs Iconic registration -
Similarity measures - Descriptors - Algorithms: Iterative
Closest Point (ICP) - Classification of similarity measures -
Case study: the 3d brain atlas construction
|
Éric
BARDINET |
|
Thursday,
Nov. 21 a.m.
9:00--12:15 |
- 3d Computed Tomography and
Interventional Radiology: Introduction: Interventional radiology
& 3D Imaging - Technologies for 3D interventional
imaging (C-arm: geometrical calibration, Reconstruction
algorithms, X-ray physics) - Clinical applications - From an
idea to an industrial product.
|
Yves TROUSSET |
|
Thursday,
Nov. 21 p.m.
2:30--5:00 |
- Laboratory visit to
Center for Neuro-imaging Research (CENIR) from the Brain
& Spine Institute (ICM) -
Hôpital de la Pitié-Salpêtrière, 47 Boulevard de l'Hôpital,
Paris 13e
|
|
|
Friday,
Nov. 22 a.m.
9:00--12:00 |
- Written Exam:
Analysis
of a scientific article in limited time.
|
Luc DARRASSE
|
|
