Medical Physics/BME 573 - Image Science (Fall 2011)  

Instructor:  James E. Holden, Ph.D.
Main Office: L1005 WIMR
Holden office:  B1137 WIMR
Holden Phone:   608/262-5998
Holden Email:   jeholden@wisc.edu
Syllabus nuts and bolts

    




                                 Lecture Outline

 



Sept 2, 2011

Course overview. Introduction to mathematical image science.





Sept 5, 2011

Labor Day Holiday


  Sept 7, 2011  Math background: The complex plane, odd/even functions, The Dirac delta function.

Sept 9, 2011

Introduction to linear systems.





Sept 12, 2011

Fourier's theorem:  Fourier series and the continuous Fourier transform.


Sept 14, 2011

Properties of the Fourier transform.


Sept 16, 2011

Gaussian, sinc, rect, sinusoid, and comb functions  Essential Fourier transform pairs.





Sept 19, 2011

The complex transfer function.    [attached figure]


Sept 21, 2011

The convolution principle.


Sept 23, 2011

The sampling theorem.   





Sept 26, 2011

Sampling and restoration.

Sept 28, 2011

Apodizing and aliasing.    


Sept 30, 2011

The Discrete Fourier Transform (DFT).    





Oct 3, 2011

The Discrete Fourier Transform (DFT) (cont.)   [attached  material]    


Oct 5, 2011

The edge response function; edge enhancement.    [attached figures]   


Oct 7 2011

Approximate restoration from sampling (pixels)   [attached figures]




Oct 10, 2011

 Clean up loose ends and review.

Oct 12, 2011

First test.

Oct 14, 2011

The binomial, Poisson, and Gaussian  distributions. Other distributions.




Oct 17, 2011

Distributions and their moments: Expectation, mean and variance. 


Oct 19, 2011

Introduction to elementary decision theory.  Signal to noise ratio. The Rose  model.     [images]

Oct 21, 2011

Joint and conditional probabilities; Bayes' theorem.




Oct 24, 2011

Joint and conditional probabilities; Bayes' theorem. (catch up lecture)

Oct 26, 2011

Receiver Operating Characteristics (ROC).


Oct 28, 2011

Receiver Operating Characteristics (ROC). (cont.)




Oct 31, 2011

Principles of noise averaging:  the covariance concept. Stationary noise. The autocovariance function.

Nov 2, 2011

Simulated 1D normally distributed stationary noise; demonstration of  autocovariance and power spectrum. [noise graphs 1]  [ng2]

Nov 4, 2011

Simulated 1D normally distributed stationary noise (cont.) Effects of  smoothing  on the  autocovariance  function.




 Nov 7, 2011   Apparent effects of noise spatial frequency composition; the power spectrum.   [noise images]

Nov 9, 2011

The propagation of error.  The covariance matrix.


 Nov 11, 2011   Maximum likelihood.  Linear regression.  The correlation coefficient.




Nov 14, 2011

Bivariate linear regression. The eigenstructure of the covariance matrix.


Nov 16, 2011

Optimization.  The Levenberg - Marquardt approach..

Nov 18, 2011

Clean up loose ends and review




Nov 21, 2011

Second test

Nov 23, 2011

The 2D Fourier transform and the Central Slice Theorem

 Nov 25, 2011  Thanksgiving break.




Nov 28, 2011

Imaging from projections:  The sinogram.     [projection picture]

Nov 30, 2011

Analytic reconstruction methods.

Dec 2, 2011

Analytic reconstruction methods (cont.).




Dec 5, 2011

Pixel transformations:  Part I: the 2D affine transformation.   Part II: The anti-aliasing affine transformations.  

Dec 7, 2011

Mutual information.    Pre-2004 image registration lecture.

Dec 9, 2011

Consequences of discretization: sampling considerations in imaging from projections. 




Dec 12, 2011

Expectation - maximization. 

Dec 14, 2011

OSEM Image reconstruction.




Homeworks:




Homework 1
Homework 1: Answers


Homework 2 
Homework 2: Answers


Homework 3
Homework 3: Answers

Homework 4   attachments Homework 4: Answers

Homework 5    figure
Homework 5: Answers   figure






 


Exams:


Test 1   
Test 1: Answers   


Test 2    figure
Test 2: Answers 


Takehome exam  
Takehome Answers  











Updated October 12, 2011