Course syllabus
The course is given by the dept. of Electrical Engineering
Contact
Examiner
Ida Häggström, idah@chalmers.se
Lecturers
Ida Häggström (Introduction, SPECT, PET, Ultrasound)
Jennifer Alvén, alven@chalmers.se (Signals & systems, image quality, Image reconstruction)
Felicia Hultqvist (X-ray)
Maria Hultenmo (CT)
Oscar Jalnefjord, oscar.jalnefjord@gu.se (MRI)
David Hagerman Olzon, david.hagerman@chalmers.se (Teaching assistant)
Guest lecturers
Maral Mirzai (Tomosynthesis)
Julia Fernandez-Rodriguez (Microscopy)
Paul Hockings (Clinical studies)
Åse Johnsson (Clinical applications)
Course representatives
Found here
Schedule
Schedule: Course schedule
Schedule in TimeEdit: TimeEdit
Ida office hours: Office hours
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 characterize a medical condition, as well as to assess response to treatment.
Course design
The course is divided into multiple learning blocks, where each block has its own module in canvas. Each block includes class room lectures at Chalmers and Reading instructions and exercises. For each of the three main blocks (magnetic resonance imaging, X-ray imaging, nuclear medicine imaging) there is also a mandatory project (computer lab). The course also includes guest lectures from academia, clinic, and industry.
|
Module 1: Introduction to medical imaging systems |
|
Module 2: X-ray imaging |
|
Module 3: Magnetic resonance imaging |
|
Module 4: Nuclear medicine imaging |
|
Module 5: Other modalities and applications |
Course litterature
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 through Chalmers library)
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 characterization of abnormal tissue).
Link to syllabus on the student portal: study plan
Examination
Thorough information is found here. Written exam with TH grading, and projects with assignments (pass/fail). Project points adds to the exam grading above pass.
Old exams
Old exams with solutions are found here.