Équipe IMAGeS : Images, Modélisation, Apprentissage, Géométrie et Statistique

Différences entre les versions de « HealthTech Advanced Medical Image Processing: Modalities and Medical Insight »

De Équipe IMAGeS : Images, Modélisation, Apprentissage, Géométrie et Statistique
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== Objectives ==
 
== Objectives ==
  
This course aims to introduce advanced processing issues specific to certain medical image imaging modalities (MRI, diffusion MRI, functional MRI, elastography) and applications (clinical routine, preclinical imaging).
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* To introduce advanced processing issues specific to certain medical image imaging modalities (MRI, diffusion MRI, functional MRI, elastography)
Acquired skills
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* To give an overview of the specificities related to application (clinical routine, preclinical imaging).
 
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* To implement image processing methods applied to medical images via a scientific programming language and the use of dedicated software
After this lecture, the student will have learned how to analyze and implement methods for solving some advanced problems in medical image processing.
 
  
 
== Lectures ==
 
== Lectures ==

Version du 13 octobre 2022 à 07:05

Objectives

  • To introduce advanced processing issues specific to certain medical image imaging modalities (MRI, diffusion MRI, functional MRI, elastography)
  • To give an overview of the specificities related to application (clinical routine, preclinical imaging).
  • To implement image processing methods applied to medical images via a scientific programming language and the use of dedicated software

Lectures

  • Diffusion MRI (Vincent Noblet)
  • Elastography (Jonathan Vappou)
  • fMRI (Céline Meillier)
  • Preclinical imaging (Chrystelle Po)
  • Insights from the radiologist (Mickaël Ohana)
  • Insights from the radiotherapist (Philippe Meyer)