ESE559/CSE 601 Fall 2004
Digital Image Processing II/Advanced
Image Processing
Wed
Instructors: Gene
Gindi, Jerome Liang, Dimitris Samaras
This course will cover modern approaches to image processing, statistical image formation and image models, image restoration, reconstruction and segmentation, applications to medical imaging.
Appropriate background: CSE527
or ESE558, or linear algebra, calculus, basic probability, programming. Please
consult instructors
09/01 |
GG |
Introduction:
Linear Algebra, Probability, Random Variables, Estimation |
09/08 |
GG |
Likelihoods For
Poisson Imaging, Multi-variate Gaussians, Relation to emission, transmission,
imaging. Intro to MATLAB (DS) |
09/15 |
- |
No class |
09/22 |
JZL |
X-ray
generation/Interaction/Detection. Emission Medical Physics, MRI Basics –
spatial encoding Programming Assignment
2 |
09/29 |
JZL |
Further focus on
low-dose CT processing |
10/06 |
DS |
Natural image
statistics, |
10/13 |
DS |
Generative models
of image formation, Markov Random Fields, Belief propagation, K-L distance,
model selection |
10/20 |
DS |
Machine learning
methods in fMRI. Distribute Project
list |
10/27 |
DS |
Midterm |
11/03 |
TBA |
Guest speaker, Project description due |
11/10 |
JZL |
Background on
statistical segmentation. Mixture models, EM mixture decomposition of MVG
models, MRF model |
11/17 |
GG |
Optimization
approaches to statistical image reconstruction. General methods (eg.
Conjugate gradient) New optimization transfer methods applied to emission and
transmission tomographic imaging |
11/24 |
- |
No class |
12/01 |
JZL |
Continue
Segmentation, compensation in emission tomography |
12/08 |
GG |
Calculating
properties of image estimates, bias, covariance, lpsf, intro to image quality |
TBA |
Project presentations |
Grading: 30% midterm, 30% homeworks (written and programming), 40% project
Contact info:
Gene Gindi: Phone: 444-2539, gindi@clio.mil.sunysb.edu, Office: 235 Light Engineering
Jerome Liang: Phone: 444-7837, jzl@mil.sunysb.edu, Office: 8thFloor-Rm067/HSC
Dimitris Samaras: Phone:
632-8464. samaras@cs.sunysb.edu.
Office: 2429 Computer Science