Code
IGFE IMA 5003
Level
M2
Graduate
Graduate
Semester
Fall
Domain
Image
Program
Programme Ingénieur
Language
Anglais/English
ECTS Credits
4
Class hours
45
Workload
90
Program Manager(s)
Department
- Advanced Research and Techniques for Multidimensional Imaging Systems
Educational team
Organisation
Cours/TD/TP/projet/examen : 30/6/9/0Learning objectives
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.
CDIO Skills
- 1.3 - Advanced engineering fundamental knowledge, methods and tools
- 2.1.5 - Solution and Recommendation
- 2.4.3 - Creative Thinking
- 4.2.6 - New Technology Development and Assessment
- 4.7.3 - Thinking Creatively and Imagining Possibilites (which builds on and expands Creative Thinking 2.4.3)
Prerequisites
None
Keywords
Imaging modalities, CT, MRI, PET, ultrasound, image segmentation, image registration, 3D rendering, anatomical modeling, micro-arrays, genomic analysis.
Content
- 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