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Course Prefix: BE   Course #: 461   Keywords: null   showing 1 to 1 of ~1

BE 461LEC Introduction to Biomedical Image Analysis

Lecture

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. 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
Prerequisites: EAS 230 or EAS 240, EAS 305 or EE 305, and BE 304; Approved Biomedical Engineering Major.
 
Published: Oct 13, 2020 13:33:43