BMI567 — Medical Image Processing
Instructor: Daniel Pimentel-Alarcón.
Open to graduate and senior undergraduate students. Hands-on introduction to medical image analysis techniques — formating, segmentation, registration, quantifcation, and classifcation. Students should have prior exposure to basic statistics and coding.
Textbook
Applied Medical Image Processing: A Basic Course, by Wolfgang Birkfellner, Second Edition.
Lecture Materials
Week 1
—  week1_matlab_basics.m
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Week 2
— week2_stats_review.m
—  dat.mat
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Week 3
— week3_scaling.m
—  spine.jpg
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Week 5
— week5_filtering.m
— week5_thresholding.m
— epith.mat
— epith_ig.mat
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Week 6
— week6_fourier.m
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Week 8
— week8_morphology.m
—  pacman.png
—  lung.jpg
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Homework
Homework 1
—  Basic Image Manipulation
—  brain.jpg
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Homework 2
— Hough Transform
—  leg_before.jpg
—  leg_after.jpg
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Homework 3
— Fourier, Sobel, Transformations, and Registration
—  liver.jpeg
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Homework 4
— Morphology Segmentation
—  metastatic.jpg
—  ground_truth.png
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Figure_Example.pdf 
Report_Template.tex