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Athens - Ath-TA04 : TA04 - Medical Imaging

Domaine > Sciences de la Vie et Santé.

Objectifs pédagogiques

The course aims at familiarizing the students with medical imaging. This field of medicine has been for several years in spectacular technological changes, notably making use of numerical technologies and image processing. It is a decisive tool in diagnosis as well as in therapy. Using techniques transposable with other applications, it now represents an area of major economic interest. The course will be based on an alternation of theoretical talks and on site visits which will give an outline of the most recent paths of development. Teaching program: - Physical principles and techniques: digital radiology, computed tomography, nuclear medicine, magnetic resonance imaging, echography. - Methods for computing tomographic images. - Methods of visualization of three-dimensional images. - Three-dimensional image processing: why and how. - Introduction to medical robotics. - Examples of applications in diagnosis and therapy. - Picture and communication archiving systems. - Social-economic aspects of the medical imagery. Visits to a medical imagery company, a research laboratory, and a Department of Radiology.

Diplôme(s) concerné(s)

UE de rattachement

domaines ParisTech

Nutrition - Santé.

Pour les étudiants du diplôme Ingénieur AgroParisTech

Basic Knowledge in signal or image processing is desirable

Format des notes

Numérique sur 20

Pour les étudiants du diplôme Ingénieur AgroParisTech

Le rattrapage est autorisé (Max entre les deux notes)
  • le rattrapage est obligatoire si :
    Note initiale < 6
  • le rattrapage peut être demandé par l'étudiant si :
    6 ≤ note initiale < 12

Le coefficient de l'UE est : 2

Pour les étudiants du diplôme Accueilli Athens

Le rattrapage est autorisé (Max entre les deux notes)
  • le rattrapage est obligatoire si :
    Note initiale < 6
  • le rattrapage peut être demandé par l'étudiant si :
    6 ≤ note initiale < 12

Le coefficient de l'UE est : 2

Programme détaillé

Mots clés

medical imaging, xrays, CT, PET, SPECT, MRI, US, image processing, segmentation,, registration, medical robotics
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