Study programme 2018-2019Français
Medical Image Processing
Programme component of Master's Degree in Electrical Engineering Professional Focus - Signals, Systems and BioEngineering à la Faculty of Engineering
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M1-IRELBS-001-MCompulsory UEGOSSELIN BernardF105 - Théorie des circuits et Traitement du signal
  • GOSSELIN Bernard
  • MANCAS Matei

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais122400033.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-TCTS-013Medical Image Processing1224000Q2100.00%
Programme component
Corequis

Objectives of Programme's Learning Outcomes

  • Imagine, implement and operate systems/solutions/software to address a complex problem in the field of electrical engineering as a source of information by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • Identify complex problems to be solved and formulate the specifications by integrating client needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • Based on modelling and experimentation, design one or more systems/solutions/software addressing the problem raised; evaluate them in light of various parameters of the specifications.
    • Implement a chosen system/solution/software in the form of a drawing, a schema, a flowchart, an algorithm, a plan, a model, a prototype, software and/or digital model.
    • Evaluate the approach and results for their adaptation (tests, measurements, optimisation and quality).
  • Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, using their expertise and adaptability.
    • Master and appropriately mobilise knowledge, models, methods and techniques specific to electrical engineering.
    • Analyse and model a problem by critically selecting theories and methodological approaches (modelling, calculations), and taking into account multidisciplinary aspects.
    • Identify and discuss possible applications of new and emerging technologies in the field of electrical engineering.
    • Assess the validity of models and results in view of the state of science and characteristics of the problem.
  • Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
    • Master technical English in the field of electrical engineering.
  • Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
    • Show an open and critical mind by bringing to light technical and non-technical issues of analysed problems and proposed solutions.
  • Imagine, implement and operate systems/solutions/software to address a complex problem in the field of electrical engineering as an essential measurement and control vector in modern society by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • Identify complex problems to be solved and develop the specifications with the client by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • Based on modelling and experimentation, design one or more systems/solutions/software addressing the problem raised; evaluate them in light of various parameters of the specifications.
    • Implement a chosen system/solution in the form of a schema, a flowchart, an algorithm, a prototype, software and/or digital model.
    • Evaluate the approach and results for their adaptation (optimisation and quality).
  • Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, with a focus on signals and systems, using their expertise and adaptability.
    • Master and appropriately mobilise knowledge, models, methods and techniques related to the basics of electricity, electronics, automatic control, signal processing and analysis, telecommunications, hardware and software instrumentation, mathematical modelling and analysis of dynamic systems, control methods, more specific applications related to signal processing, and control of biomedical and biological systems.
    • Analyse and model a problem by critically selecting theories and methodological approaches (modelling, calculations), and taking into account multidisciplinary aspects.
    • Identify and discuss possible applications of new and emerging technologies in the field of electrical engineering.
    • Assess the validity of models and results in view of the state of science and characteristics of the problem.
  • Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
    • Master technical English in the field of electrical engineering.
  • Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
    • Show an open and critical mind by bringing to light technical and non-technical issues of analysed problems and proposed solutions.

Learning Outcomes of UE

develop an applied image and/or video processing system for medical applications, together with a critical analysis of the problem;
understand image representation taking into account the particularities and modalities of medical images and applied digital image analysis (low-level and high-level methods for denoising, segmentation,...) and processing methods, taking into account current usual tools in the field;
have direct contacts with actors in medical applications to have a better understanding of the applied field and constraints.

Content of UE

image processing (low-level processing, image understanding); medical image analysis (image acquisition, modalities & features);

Prior Experience

fundamentals of signal processing (sampling & quantization)

Type of Assessment for UE in Q2

  • Oral Examination

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

  • Oral examination

Q3 UE Assessment Comments

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-TCTS-013
  • Cours magistraux
  • Travaux pratiques
  • Projet sur ordinateur
  • Etudes de cas
  • Ateliers et projets encadrés au sein de l'établissement

Mode of delivery

AAMode of delivery
I-TCTS-013
  • Face to face

Required Reading

AARequired Reading
I-TCTS-013Copie de présentation - Medical Image Processing - Matei Mancas

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-TCTS-013Not applicable

Recommended Reading

AARecommended Reading
I-TCTS-013

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-TCTS-013Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-TCTS-013T. Dutoit & F. Marques, “Applied Signal Processing”, Springer, 2009

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-TCTS-013Authorized
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de génération : 02/05/2019
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