BE 461LEC - Introduction to Biomedical Image Analysis

Designed for BE fourth year and 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. This course is the same as PAS 461 and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements.

Credits: 3

Grading
Graded (GRD)

Typically Offered:
Fall

Requisites:
Pre-Requisites: EAS 230 or EAS 240 or CSE 115 or EAS 999TRCP, EAS 305 or EE 305, and BE 304; Biomedical Engineering Majors Only.