CMPUT616 |
Fundamentals
of Medical Imaging |
|
Fundamentals of Medical
Imaging Friday 16h00 to 18h00 in CSC 2-49 |
General
Description:
The course starts by reviewing signal processing
theory with example from medical imaging. We will then study six general
medical imaging modalities: projection
radiography, computed tomography, magnetic
resonance imaging, nuclear imaging,
and ultrasound. The goal will be to
understand these modalities in terms familiar to medical practitioners.
Following the study of modalities, we will then review basic 3D image
processing such as filtering, registration, segmentation, and data driven
physical simulation. Flexibility exists for the instructor to vary the depth of
each topic area after determining the general background and experience of the
students.
Syllabus:
Lecture 1:
Short History of Modalities:
Lecture 2:
Basics of Linear Systems:
Lecture 3: Multi-modal
Filtering
·
Powerpoint
files: LinearSystems-II.pptx, Filtering.pptx
·
Assignment 2 (Due Sept. 21)
Lecture 4:
Fourier Transform:
Lecture 5:
Sampling Theorem:
Lecture 7:
Fundamental of X-Ray Physics-I:
Lecture 8:
Fundamental of X-Ray Physics-II:
Lecture 9:
X-Ray Distortion and Non-linearity:
Lecture 10: Statistical
Model of X-Ray Images:
Lecture 11:
X-ray CT-I:
Lecture 12:
X-ray CT-II:
Lecture 13:
Fundamental of MR:
Lecture 14:
MRI Image Formation Overview:
Lecture 15:
Nuclear Imaging:
Lecture 16: Multi-modal Registration
·
Powerpoint
files: Registration.pptx
·
Assignment 6 (Due Nov 30)
Lecture 17: Ultrasound Imaging Systems:
·
Powerpoint
files: Ultrasound.pptx
Lecture 18: From Segmentation to
Physical Simulation and Surgical Planning
·
Powerpoint
files: Segmentation.pptx, Simulation.pptx
·
Assignment 7 (Due Dec 7)
Textbook:
The following textbook is used to provide both the
engineering, mathematical, and physics background necessary for this course. I
will lecture from the class notes but I will refer to the textbook from time to
time and some of the assignment will be from the textbook.
J.L. Prince and
J.M. Links, Medical Imaging: Signals and Systems, Pearson Prentice Hall
Bio-engineering
Homework will generally
be handed out during a lecture and will be due on the following week. Some
parts of the homework may involve SLICER exercises. There will be 6 problem
sets. Don't be misled by the relatively few points assigned to homework grades
in the final grade calculation. While the grade that you get on your homework
is at most a minor component of your final grade, working the problems is a
crucial part of the learning process and will invariably have a major impact on
your understanding of the material.
Course Project
There will be
an individual semester project, culminating in a final 8 pages report in IEEE
format and a 20 minutes presentation during a one day workshop in December.
Progress and check points before the final due date will count toward the final
grade.
The final grade
for the course is based on our best assessment of your understanding of the
material, as well as your commitment and participation. The SLICER project,
problem sets, and the final projects are combined to give a final grade:
ACTIVITIES |
Weight |
Final
Project |
65% |
7 x Problem
Sets |
35% |
Links:
·
Introduction
to various technologies from HowStuffWorks.com
o X-rays
o CT
o MRI
·
Joseph
Hornak, The
Basics of MRI
·
Online
resource, available at http://www.cis.rit.edu/htbooks/mri/
(Introduction to MRI)
·
MRI safety (flying
objects) [simplyphysics.com]
·
The
Ottawa Medical Physics Institute
has a series of interesting and relevant Seminars
·
The
Visible
Human Project
·
Interactive
Visible Human Viewer
·
The
Computer Vision Test Image
Database has many databases relevant to image processing. Some contain
medical images
·
The
MedPix
Database has X-ray and CT and MRI images.
·
digimorph.org X-Ray CT views of living and
extinct vertebrates.
·
Online Computer
vision books
·
P. K.Kaiser; The
Joy of Visual Perception, Online book, 1996.
·
Kak,
M. Slaney. Principles of Computerized
Tomographic Imaging, Society of Industrial and Applied Mathematics, 2001.
·
Martin
Spahn Flat
detectors and their clinical applications Eur Radiol
(2005) 15: 1934-1947