Prerequisites: ENSC 380-4 Linear Systems and either ENSC 327-4 Communication Systems or ENSC 328-1 Random Processes in Engineering.
This
course is prominent in the Biomedical Signals and Instrumentation concentration
of the new Biomedical Engineering curriculum. Much of biomedical engineering has to do
with signals, typically physiological measurements or images. The course introduces important
techniques for reduction of measurement noise, enhancement and transformation
of images, and detection of patterns within signals.
The
course forms a sequel to the course ENSC 374-4 Biomedical Image Acquisition
which covers acquisition of medical images. The subsequent visualization,
processing and analysis tools applied to multidimensional signals such as 2D/3D
medical images are covered in this course. Students will become proficient in
various basic tools used in signal processing by looking at their
multidimensional counterparts for image processing.
The
topics are often seen at the graduate level, but there does not seem to be a
reason why a good set of signal processing tools cannot be made available to
senior undergrad students.
Will this be a required or elective course in the
curriculum; probable enrolment when offered?
This is
an elective course in the Biomedical Signals and Instrumentation concentration
of the BME curriculum. Probable
enrolment: 20
Scheduling and Registration
Information
Indicate Semester and Year this course would be first
offered and planned frequency of offering thereafter.
First
offering to be Fall 2008. Annually
thereafter in the Fall semester.
Which of your present CFL
faculty have the expertise to offer this course? Will the course be taught by
sessional or limited term faculty?
Dr.
Faisal Beg, Dr. Jie Liang. The
course will be taught by tenure-track faculty.
Are there any proposed student
fees associated with this course other than tuition fees?
No.
Is this course considered a
`duplicate' of any current or prior course under the University's duplicate
course policy? Specify, as appropriate.
No.
Note: Senate has approved
(S.93-11) that no new course should be approved by Senate until funding has
been committed for necessary library materials. Each new course proposal must be
accompanied by a library report and, if appropriate, confirmation that funding
arrangements have been addressed.
Provide details on how existing
instructional resources will be redistributed to accommodate this new course.
For instance, will another course be eliminated or will the frequency of
offering of other courses be reduced; are there changes in pedagogical style or
class sizes that allow for this additional course offering.
Drs. Beg and Liang are recently hired faculty
members in the
Does the course require
specialized space or equipment not readily available in the department or
university, and if so, how will these resources be provided?
Existing space and equipment is adequate for this
course offering.
Does this course require
computing resources (e.g. hardware, software, network wiring, use of computer
laboratory space) and if so, describe how they will be provided.
The computing resources it requires exist in
Engineering Science.
Course Outline
Topics:
Weekly
assignments will consist of both a theoretical and a computational component.
The computational component will require writing computer programs in
Matlab/C++ to process medical images from the clinic for enhancement,
visualization and information extraction. Sample projects can be: (1)
implementing various filters for noise removal from images (2) recovering
transformations for correction of distortion or registration medical images to
a chosen template image for data pooling and averaging (3) segmentation of
objects in medical images using morphological operators as an example.
Grading will
consist of Midterm (20%), Final (25%), Project (15%) and weekly assignments
(40%).
Possible
choice is the textbook Handbook
of Medical Imaging by Isaac Bankman. Another possible choice is Digital
Image Processing (2nd Edition) by Gonzalez and Woods.