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Course Information
Identification

CS 736: Algorithms for Medical Image Processing
 
Description

The topics covered will include a subset from the following list:

(1) Imaging Modalities and Mathematical Models, Noise and Artifact Models, Sampling, Signal Modelling and Fitting
• X ray, CT, MRI (diffusion, functional), ultrasound, optical microscopy

(2) Visualization
• Methods: sectioning, overlays, rendering surfaces and volumes, glyphs
• Application domains: multi-dimensional imaging, multi-modal imaging

(3) Image Reconstruction
• Methods: image models, sampling, problem formulations, algorithms
• Application domains: MRI, CT

(4) Image Denoising
• Methods: Bayesian estimation, nonlinear smoothing
• Application domains: MRI, CT

(5) Image Segmentation
• Methods: clustering, Bayesian estimation, graph cuts, classification
• Applications

(6) Shape Analysis
• Methods: shape descriptors, shape similarity, learning shape models
• Applications

(7) Image Registration
• Methods: image similarity, transformation, formulations, algorithms
• Applications

(8) Content based medical-image retrieval
• Methods: image descriptors, image similarity
• Applications
 
References

 
Home Page

http://www.cse.iitb.ac.in/~suyash/cs736
 
Prerequisites

Either CS 663 (Digital Image Processing) OR Instructor Approval.
 
Other Details

Duration : Full Semester Total Credit : 6
Type : Theory
 
Current Semester (Autumn 2017-18)

Status : Not Offered Instructor : ---
 
Next Semester (Spring 2017-18)

Status : Offered Instructor : Prof. Suyash P. Awate




Last Modified Date: 09-May-2016

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