Course syllabus

Course-PM

SSY186 Diagnostic imaging lp4 VT20 (7.5 hp)

Course is offered by the department of Electrical Engineering

Contact details

Examiner
Fredrik Kahl, fredrik.kahl@chalmers.se

Coordinator
Oscar Jalnefjord, goscar@chalmers.se

Teachers 
Oscar Jalnefjord (Introduction, Image Quality, MRI,X-ray, Other Imaging Modalities)
Andreas Fhager, andreas.fhager@chalmers.se  (Signals and Systems, CT, Ultrasound, Microwave Tomography)
Emma Wikberg (Nuclear Medicine)

Course purpose

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.

Schedule

TimeEdit

Course literature

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

M. Chappell, Principles of Medical Imaging - From Signals to Images, Springer 2019 (available as e-book via the Chalmers library)

Course design

The course is divided into multiple learning blocks, where each block has its own module in canvas. The blocks are build around lectures and exercises, and for the three main blocks also a small project. Stroll around in canvas for more information.

Changes made since the last occasion

The schedule has been rearranged since last year such that each imaging modality has a specific block. The course also has a stronger focus on the main three imaging modalities MRI, x-ray and nuclear medicine.

Learning objectives and syllabus

Learning objectives:

- 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).

Link to the syllabus on Studieportalen.

Study plan

Examination form

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