Computational Medical Imaging Analysis (CS689)

NOTE TO STUDENTS: This "Computational Medical Imaging Analysis" course is experimental in Spring 2007. It will study some computational techniques commonly used in medical imaging analysis. If time permits, it will also cover some very new imaging analysis and visualization techniques, such as the diffusion tensor magnetic resonance imaging (DT-MRI), functional magnetic resonance imaging (fMRI), and some applications.

Semester: Spring, 2007.
Class: 2:00pm - 2:50pm, MWF.
Classroom: FPAT 257.

Instructor: Jun Zhang, E-mail:jzhang@cs.uky.edu, Tel:257-3892.
Office: 763F Anderson Hall.
Office Hours: WF: 12:00pm - 1:00pm, and by appointment.

IMPORTANT NOTES:

Students must have taken at least two 500 level CS courses at the University of Kentucky before eligible for registration for this course. Students do not meet this prerequisite should meet with the instructor before a registration can be granted.

Suggested Text Book:
Biomedical Imaging, Visualization, and Analysis by Richard A. Robb, Willey-Liss, New York, 1999. (This book is optional.)

There are many web sites that have interesting information related to computational medical imaging analysis.

Class Notes

The course syllabus; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Chapter 5. Chapter 6. Chapter 7.

Links to X-ray, and X-ray WWW Server;
Links to Computed Axial Tomography; and Computed Tomography
Links to The Basics of MRI; and MRI Tutor;
Link to Diagnostic Radiology;
Stories behind the 2003 Nobel Prize;
Links to Nuclear Medicine Imaging;
Links to PET Imaging;
Links to Ultrasound Imaging;
Voxels, volume rendering and volume graphics;
An introduction to image compression
DICOM (Digital Imaging and Communications in Medicine;

An Introduction to Analyze AVW;
Volume Visualization with Ray Casting;

Chapter 5: Image Processing and Analysis

Histogram;
Understanding histograms;
Histogram equalization;
Image segmentation by thresholding;
Seeded region growing method for image segmentation;
Mathematical morphology;
Erosion;
Automatic delineation of enhancements in MS;
Active contours (snake);
Non-rigid morphological image registration;
Medical image registration;
Registration of medical imaging data;
3D image registration;
2D and 3D image registration, a tutorial;

Multispectral MR brain image classification;

Other useful links related to Computational Medical Imaging Analysis:

The Whole Brain atlas at Harvard University Medical School;
The Visible Human Project MRI Scans at National Institutes of Health;
International Consortium for Brain Mapping;