BE 461/561: Introduction to Biomedical Image Analysis
I offer this course every Fall semester.  The course is designed for BE seniors and first year graduate students.  This course focuses on computational quantification of biologically relevant micro/macroscopic structures in biomedical images.  Students will learn how (i) raw data is acquired before digitization;  (ii) to read, display, and interpret various medical image data types using a computer;  (iii) to detect, segment, and quantify heterogeneous structures in biomedical images;  (iv) to leverage features extracted from biomedical images for classification;  (v) to setup experiments in MATLAB via script writing for biomedical image analysis.  Image analysis problems related to fluorescence and brightfield microscopy and fluorescence molecular tomography systems and corresponding biomedically relevant computational image analysis tools will be discussed.  Simulated and real images of these systems will be used for quantitative analysis via MATLAB based script writing.