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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
SSY186 - Diagnostic imaging
 
Syllabus adopted 2014-02-13 by Head of Programme (or corresponding)
Owner: MPBME
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: Second-cycle
Major subject: Bioengineering, Electrical Engineering
Department: 32 - ELECTRICAL ENGINEERING


Teaching language: English
Open for exchange students
Block schedule: C

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0114 Laboratory 1,0c Grading: UG   1,0c    
0214 Project 2,5c Grading: TH   2,5c    
0314 Examination 4,0c Grading: TH   4,0c   30 May 2015 am M,  26 Aug 2015 pm M

In programs

MPBME BIOMEDICAL ENGINEERING, MSC PROGR, Year 1 (compulsory elective)
MPBME BIOMEDICAL ENGINEERING, MSC PROGR, Year 2 (elective)

Examiner:

Professor  Fredrik Kahl


Replaces

SSY185   Diagnostic imaging


  Go to Course Homepage

Eligibility:


In order to be eligible for a second cycle course the applicant needs to fulfil the general and specific entry requirements of the programme that owns the course. (If the second cycle course is owned by a first cycle programme, second cycle entry requirements apply.)
Exemption from the eligibility requirement: Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling these requirements.

Course specific prerequisites

-

Aim

The aim of this course is for students to gain a basic understanding of the engineering aspects of both contemporary and state-of-the-art technologies used to create medical images. In addition the student is expected to gain an understanding of how such images are used by doctors to confirm and characterise a medical condition, as well as to assess response to treatment.

Learning outcomes (after completion of the course the student should be able to)

- describe the physical and biological basis of a range of contemporary and state-of-the-art medical image formation technologies;

- describe and apply the techniques and algorithms used in these technologies to generate/form images;

- compare and contrast competing image formation algorithms;

- implement one or more of these algorithms in software; and

- describe applications of these technologies and explain their limitations (e.g. for the detection and characterisation of abnormal tissue).

Content

This course covers the physical and engineering aspects of a range of contemporary and state-of-the-art technologies used for generating medical images. These include:

- X-ray imaging: Physics, technology, detectors, spectra, amplifiers, computerized tomography and image reconstruction.

- Nuclear tomographic imaging and positron emission tomography: Basic physics, technology, detectors and algorithms.

- Magnetic resonance imaging (MRI): Physics, technology, instrumentation, and image reconstruction algorithms.

- Ultrasound imaging: Physics, technology, instrumentation, and image reconstruction algorithms.

- Microwave tomography: Microwave systems, antennas, dielectric properties, contrast and optimisation algorithms.

The course also covers applications of these technologies including in virtual colonoscopy, breast cancer detection/imaging, cardiac imaging, and brain imaging.

Organisation

The course is organised as a number of lectures (including guest lectures given by industry and the health-care sector), laboratory sessions and a mandatory project.

Literature

J. L. Prince, J. M. Links, Medical Imaging Signals and Systems, Prentice Hall, 2006

Examination

Written exam with TH grading; project with assignments and laboratory sessions (pass/fail).


Page manager Published: Thu 04 Feb 2021.