| Instructor(s) | Alice Rueda [Coordinator] Office: EPH 417 Phone: TBA Email: arueda@torontomu.ca Office Hours: Monday 6:00 PM - 7:00 PM | ||||||||||||||
| Calendar Description | Introduces the fundamental principles of medical image analysis and visualization. Focuses on the processing and analysis of ultrasound, MR, and X-ray images for the purpose of quantification and visualization to increase the usefulness of modern medical image data. Includes image perception and enhancement, 2-D Fourier transform, spatial filters, segmentation, and pattern recognition. | ||||||||||||||
| Prerequisites | BME 229 and BME 772 | ||||||||||||||
| Antirequisites | None | ||||||||||||||
| Corerequisites | None | ||||||||||||||
| Compulsory Text(s): |
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| Reference Text(s): |
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| Learning Objectives (Indicators) | At the end of this course, the successful student will be able to:
NOTE:Numbers in parentheses refer to the graduate attributes required by the Canadian Engineering Accreditation Board (CEAB). | ||||||||||||||
| Course Organization | 3.0 hours of lecture per week for 13 weeks | ||||||||||||||
| Teaching Assistants | TBA | ||||||||||||||
| Course Evaluation |
Note: In order for a student to pass a course, a minimum overall course mark of 50% must be obtained. In addition, for courses that have both "Theory and Laboratory" components, the student must pass the Laboratory and Theory portions separately by achieving a minimum of 50% in the combined Laboratory components and 50% in the combined Theory components. Please refer to the "Course Evaluation" section above for details on the Theory and Laboratory components (if applicable). | ||||||||||||||
| Examinations | Midterm exam covers all material covered in class up until the examination. Midterm is scheduled for week 7. The final exam will cover all course material. | ||||||||||||||
| Other Evaluation Information | Laboratory: All labs require final write-ups and submission of working code to generate your results. Requested analysis, images and information that will be assessed are included in the lab description. During lab times, the TA will ask you to demo your code, and ask questions about its operation and the results. Labs will be demonstrated to the TA during the last week of the lab and lab reports will be due that same week. Images and experimental details will be given on the course website. You may work in partners for the labs (two maximum). The labs will consist of theoretical and practical parts and will require the use of Matlab. Project: The project details, data and requirements will be uploaded to the course website. There is a four page (conference-style) write up, demo, and presentation that are assessed. During the last weeks in the semester, the TA will ask you to demo your code, and ask questions about its operation and results. You may work in partners (two maximum). The project is design oriented, and will consist of both theoretical and practical components learned from the course, and will require the use of Matlab. | ||||||||||||||
| Other Information | Practice problems and their solutions will be provided on the course web page. These assignments will neither be collected nor graded; they are provided only as a study guide. You are strongly recommended to attempt these as well as additional problems without looking at the solutions first. Labs/project will be made available on the course web. It is your responsibility to check these and download and submit your work online by the deadlines. | ||||||||||||||
Week | Hours | Chapters / | Topic, description |
|---|---|---|---|
1 | 3 | Chapter 1 All Sections | Introduction to Medical Image Analysis |
2 | 3 | Chapter 2 All Sections | Digital Image Formation |
3-4 | 4 | Chapter 3 Sections 3.1-3.3 | Intensity Transforms |
4-6 | 7 | Chapter 3 Sections 3.4-3.7 | Spatial Filtering |
7 | 2 | Midterm | Midterm covering lectures 1-6 |
8-9 | 5 | Chapter 4 | 2D Fourier Transform and Sampling |
10 | 3 | Chapter 4 | Frequency Domain Filtering |
11 | 3 | Chapter 5 Sections 5.1-5.3, 5.11 | Image Restoration |
12 | 3 | Class Notes | Feature Extraction, Segmentation and Classification |
13 | 3 | Project Presentations |
Week | L/T/A | Description |
|---|---|---|
2-4 | LAB 1 | Medical Image Management, Histograms and Point Operations |
5-7 | LAB 2 | Contrast Adjustment of Mammogram Images |
8-10 | LAB 3 | Vessel Detection in Retinal Images using Edge Detection |
2-12 | PROJECT | Automated Image Quality Assessment in Medical Images |
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Refer to the Departmental FAQ page for furhter information on common questions.
You can submit an Academic Consideration Request when an extenuating circumstance has occurred that has significantly impacted your ability to fulfill an academic requirement. You may always visit the Senate website and select the blue radio button on the top right hand side entitled: Academic Consideration Request (ACR) to submit this request.
For Extenuating Circumstances, Policy 167: Academic Consideration allows for a once per semester ACR request without supporting documentation if the absence is less than 3 days in duration and is not for a final exam/final assessment. Absences more than 3 days in duration and those that involve a final exam/final assessment, require documentation. Students must notify their instructor once a request for academic consideration is submitted. See Senate Policy 167: Academic Consideration.
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