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ECE Course Syllabus
ECE6780 Course Syllabus
ECE6780
Medical Image Processing (3-0-3)
- Technical Interest
Group - Bioengineering,Digital Signal Processing
- Prerequisites
- ECE2026
- Corequisites
- None
- Catalog Description
- Studying biomedical image analysis techniques including image enhancement, analysis, classification, and interpretation for medical decision-making through practicals and projects. Cross-listed with BMED6780.
- Textbook(s)
- Gonzales, Digital Image Processing (4th edition).(optional)
- Strategic
Performance
Indicators (SPIs) -
SPIs are a subset of the abilities a student will be able to demonstrate upon successfully completing the course.
Outcome 1 (Students will demonstrate expertise in a subfield of study chosen from the fields of electrical engineering or computer engineering): Upon successful completion of the course, the student should be able to demonstrate the ability to formulate biomedical image analysis pipeline for medical decision support. Outcome 2 (Students will demonstrate the ability to identify and formulate advanced problems and apply knowledge of mathematics and science to solve those problems): Upon successful completion of the course, the student should be able to apply mathematic knowledge and programming techniques to perform biomedical image analysis for medical decision support. Outcome 3 (Students will demonstrate the ability to utilize current knowledge, technology, or techniques within their chosen subfield): Upon successful completion of the course, the student should be able to demonstrate oral and written communication ability to report biomedical image processing problem-solving.
- Topical Outline
1. [3 hrs] Biomedical Image Analysis: Motivation; Importance; and Challenges. 2. [1.5 hrs] Medical Image Formation: Imaging Modalities (X-Ray, MRI, PET, SPECT, Ultrasound); and Comparison of Data Resulting from Different Modalities. 3. [1.5 hrs] Biomedical Imaging for Diagnosis Decision Support: Quality Metrics, Grey Images and Color Images Formation; and Visualization. 4. [4.5 hrs] Image Enhancement: Intensity Data Histogram Modeling; Thresholding; Signal-to-Noise Characteristics; Fourier Transformation; Color Transformation. 5. [1.5 hrs] Image Analysis: Edge Detection; Contour Tracing; Segmentation. 6. [9 hrs] Image Interpretation: Feature Extraction; Pattern Recognition; Classification; Interactive Decision Support 7. [18 hrs] Practical and Project: Analyzing Real-World Biomedical Image Data for Clinical Decision Support 8. [3 hrs] Technical Presentations of Critical Thinking in Projects Design, and Software Design of Biomedical Image Data Analysis. 9. [3 hrs] Exams
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