Code
IGFE IMA 5003
Niveau
M2
Graduate
Graduate
Semestre
Fall
Domaine
Image
Programme
Programme Ingénieur
Langue
Anglais/English
Crédits ECTS
4
Heures programmées
45
Charge de travail
90
Coordonnateur(s)
Département
- Advanced Research and Techniques for Multidimensional Imaging Systems
Equipe pédagogique
Organisation
Cours/TD/TP/projet/examen : 30/6/9/0Acquis d'apprentissage
At the term of this module, students will be able to:
- enumerate, identify and discuss the common principles of the reference acquisition techniques in medical imaging (CT, MRI, echography, PET) and their complementarities;
- describe the physical phenomena involved in image formation and identify the transform space corresponding to the measures/data acquisition;
- interpret the parameters of the acquisition protocol specific to each technique and their impact on the image obtained;
- in the framework of the development of a computer-aided diagnosis tool at a small scale, but realistic, and exploiting an image processing toolbox provided (e.g. MorphoTool software):
- conceive a segmentation approach of anatomical/pathological structures in a given medical image and implement the algorithm as an execution script,
- evaluate its performance on several images of the same type and,
- optimize the algorithm such that it could achieve equivalent results on the whole image test set.
Compétences CDIO
- 1.3 - Connaissances avancées en ingénierie : méthodes et outils
- 2.1.5 - Solutions et recommandations
- 2.4.3 - Créativité
- 4.2.6 - Evaluation et développement de nouvelles technologies
- 4.7.3 - Faire preuve de créativité et explorer le champ des possibles (s'ajoute et complète le 2.4.3 Pensée créative)
Prérequis
None
Mots-clés
Imaging modalities, CT, MRI, PET, ultrasound, image segmentation, image registration, 3D rendering, anatomical modeling, micro-arrays, genomic analysis.
Contenu
- Medical & technological challenges for healthcare
- Medical image acquisition technologies: computerized tomography, magnetic resonance imaging, positron emission tomography, ultrasound imaging
- Spatial and frequency domains approaches for biomedical image enhancement and filtering
- Segmentation of anatomical structures from 2D/3D medical images: contour- and region-based approaches, mathematical morphology
- Image registration and multimodal data fusion
- Discovering clinical practice: visit of the Central Radiology Service at the Pitié-Salpétrière Hospital, Paris
- Static & dynamical modeling of anatomical territories
- 3D representation and visualization of medical data
- Biotechnologies: micro-arrays and genomic analysis
Evaluation
Continuous evaluation based on lab assignments (BE), answers to a multiple-choice questionnaire (MCQ) and personal supervised project (P)
Final mark = Weighted average (BE, MCQ, P)
The presence on labs is mandatory