ESE559/CSE 601 Fall 2004

Digital Image Processing II/Advanced Image Processing

Wed 3:50-6:40

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, ICA, discriminative methods for machine learning

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

 

 

Readings: Class notes and selected reading will be provided either in hardcopy or electronically.

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