Introduction to Medical Image Processing

(3-0-0-3)

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

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

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

Technical Interest Groups / Course Categories: Threads / ECE Electives

Course Coordinator: Ahmet Coskun

Prerequisites: (ECE 2025 [min T] or 2026 [min C]) and (MATH 3770 [min D, with concurrency] or ISYE 3770 [min D, with concurrency] or CEE 3770 [min D, with concurrency] or ECE 3077 [min D, with concurrency] or BMED 2400 [min D])

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.

Textbook(s)

Digital Image Processing, Biomendcal Image Analysis, Microscopic Image Analysis for Life Science Applications (Bioinformatics & Biomedical Imaging), Numerical Methods for Image Registration (Numerical Mathematics and Scientific Computation), Related research papers for some of the topics.

Course Outcomes

Master the concepts and methods in medical imaging processing.

Learn and practice bimedical image analysis skills.

Strategic Performance Indicators (SPIs)

N/A

Topic List

  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)