Medical Physics/BME 573 - Image Science (Fall 2008)  

Instructor:  James E. Holden, Ph.D.
Main Office:  1005 WIMR
Holden office:  B1137 WIMR
Holden Phone:   608/262-5998
Holden Email:   jeholden@wisc.edu
Syllabus nuts and bolts

    




                                 Lecture Outline

 


Sept 3, 2008

Course overview. Introduction to mathematical image science.

Sept 5, 2008

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



Sept 8, 2008

Introduction to linear systems.

Sept 10, 2008

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

Sept 12, 2008

Properties of the Fourier transform.



Sept 15, 2008

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

Sept 17, 2008

The complex transfer function.    [attached figure]

Sept 19, 2008

The convolution principle.



Sept 22, 2008

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

Sept 24, 2008

The sampling theorem.

Sept 26, 2008

Sampling and restoration.



Sept 29, 2008

Apodizing and aliasing.

Oct 1, 2008

The Discrete Fourier Transform (DFT)

Oct 3, 2008

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



Oct 6, 2008

Approximate restoration from sampling (pixels)  [attached figures]

Oct 8, 2008

Clean up loose ends and review.

Oct 10, 2008

First Test.



Oct 13, 2008

Distributions and their moments: Expectation, mean and variance.

Oct 15 2008

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

Oct 17, 2008

Fourier relationships – the characteristic function. The central limit theorem.



Oct 20, 2008

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

Oct 22, 2008

Joint and conditional probabilities; Bayes' theorem.

Oct 24, 2008

Receiver Operating Characteristics (ROC).



Oct 27, 2008

Receiver Operating Characteristics (ROC). (cont.)

Oct 29, 2008

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

Oct 31, 2008

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



Nov 3, 2008

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

  Nov 5, 2008   Apparent effects of noise spatial frequency composition; the power spectrum.   [noise images]

Nov 7, 2008

The propagation of error.  The covariance matrix.



 Nov 10, 2008   Maximum likelihood.  Linear regression.  The correlation coefficient.

Nov 12 2008

Clean up loose ends and review

Nov 14, 2008

Second test.


Nov 17 2008

The 2D Fourier transform and the Central Slice Theorem.

Nov 19, 2008

Imaging from projections:  The sinogram.     [projection picture]

Nov 21, 2008

Analytic reconstruction methods.



 Nov 24, 2008  Consequences of discretization: sampling considerations in imaging from projections.    ISMRM poster

Nov 26, 2008

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

Nov 28, 2008

Thanksgiving break.



Dec 1, 2008

Mutual information.    Pre-2004 image registration lecture. 

Dec 3 2008

Optimization.  The Levenberg - Marquardt approach.

Dec 5, 2008

Expectation - maximization. OSEM Image reconstruction.


Dec 8, 2008

Expectation - maximization. OSEM Image reconstruction.

Dec 10, 2008

The analysis of variance.

Dec 12, 2008

Bivariate linear regression. The eigenstructure of the covariance matrix.

 








Homeworks:




Homework 1
Homework 1: Answers


Homework 2
Homework 2: Answers


Homework 3
Homework 3: Answers

Homework 4   attachment Homework 4: Answers

Homework 5   attachment
Homework 5: Answers


Homework 6
Homework 6: Answers


 


Exams:


Test 1
Test 1: Answers   


Test 2  attachment
Test 2: Answers


Takehome exam   attachment
Takehome exam: Answers   attachment











Updated October 12, 2008