Search programme

​Use the search function to search amongst programmes at Chalmers. The study programme and the study programme syllabus relating to your studies are generally from the academic year you began your studies.

Syllabus for

Academic year
SSY186 - Diagnostic imaging  
Medicinska bildsystem
 
Syllabus adopted 2019-02-07 by Head of Programme (or corresponding)
Owner: MPBME
7,5 Credits
Grading: TH - Five, Four, Three, Fail
Education cycle: Second-cycle
Major subject: Bioengineering, Electrical Engineering
Department: 32 - ELECTRICAL ENGINEERING


Teaching language: English
Application code: 10119
Open for exchange students: Yes
Block schedule: C

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   05 Jun 2020 am J,  12 Oct 2019 pm SB_MU   26 Aug 2020 pm J

In programs

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

Examiner:

Fredrik Kahl

  Go to Course Homepage

Replaces

SSY185   Diagnostic imaging


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

Approved courses in  basic signal processing and programming.

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.

-THz imaging, tomosynthesis, microscopy, diffusion tensor imaging

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 including compulsory elements

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


Published: Mon 28 Nov 2016.