Fundamentals of Biomedical Image Processing

Image processing is a basic tool for biomedical image analysis. Ranging from contrast enhancement to stereotatic surgery, image processing provides various levels of assistance to the biomedical researches and clinical applications. As an introductory course to the biomedical image processing, the aim of this course is to offer the entry-level graduate students the fundamental image processing techniques. The scope of this course will cover the basic transformation techniques, properties of various medical images, image acquisition, processing and rendering. In addition to the regular lectures, the students are required to exploit advanced techniques independently to reinforce learning. It will include one term project and a couple of paper studies.
Actual implementation of the image processing algorithms on the biomedical images will be emphasized in this course. Although it is not a pre-requisite, the students need to use Matlab as the programming tool for the homeworks. There will be about five homeworks for practice. One exam will be given toward the end of the class. The students will be asked to demonstrate the result of the term project by an oral presentation and a written report.

Topics
Basic Transformation Techniques
Basics of Medical Images
Image Acquisition, Sampling, and Quantization
Image Enhancement
Image Segmentation
Image Compression
Volumetric Image Analysis
Rendering Techniques

Office Hours:
by appointment
at Room 705, Institute of Biomedical Engineering, Main Campus

Grading:
Homeworks 30%
Midterm 30%
Term Project 40%

Textbooks:
Digital Image Processing, 2nd Ed., R. C. Gonzalez & R.E. Woods
Fundamentals of Digital Image Processing, A. J. Jain