Introduction to Medical Image Processing


CMPE Degree: This course is Elective for the CMPE degree.

EE Degree: This course is Elective for the EE degree.

Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.

Technical Interest Group(s) / Course Type(s): Bioengineering, Courses for non-ECE majors, Cross-listed courses

Course Coordinator:

Prerequisites: (ECE 2025/2026 [min C]) and (CEE/ISYE/MATH 3770* or ISYE 2027* or ECE 3077 or BMED 2400)

Corequisites: None.

Catalog Description

A study of mathematical methods used in medical acquisition and processing. Concepts, algorithms, and methods associated with acquisition, processing, and display of two- and three-dimensional medical images are studied. Crosslisted with BMED 4783.

Course Outcomes

  1. Master the concepts and methods in medical imaging processing.
  2. Learn and practice bimedical image analysis skills.

Student Outcomes

In the parentheses for each Student Outcome:
"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.

1. ( P ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

2. ( LN ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

3. ( LN ) An ability to communicate effectively with a range of audiences

4. ( LN ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

5. ( P ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

6. ( P ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

7. ( M ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Strategic Performance Indicators (SPIs)

Not Applicable

Course Objectives

Topical Outline

1. Organ-level imaging modality
2. Microscopic-level imaging modality
3. Fundamentals of digital image processing (Gonzalez/Woods, ch 1, 2)
4. Intensity Transformations and Spatial Filtering (Gonzalez/Woods, ch.3,4)
5. Image enhancement and filtering in frequency domain, image restoration(Gonzalez/Woods, ch.4,5)
6. Color image processing (Gonzalez/Woods, ch.6)
7. Image segmentation (Gonzalez/Woods, ch.10)
8. Image representation and description, (Gonzalez/Woods, ch.11)
9. Morphological image processing (Gonzalez/Woods, ch.9)