Welcome to the MATLAB/EMMA Help Page
Introduction
EMMA (Extensible MATLAB Medical image Analysis) is a toolkit written at
the Montreal Neurological Institute designed to ease the use of MATLAB
in the analysis of medical imaging data. It was conceived by Sean Marrett and implemented (in the summer of
1993) by Mark Wolforth and Greg Ward, under Sean's guidance.
It provides functions for reading and writing MINC files (our local data file
format), viewing images, performing ROI operations, and performing
several popular analyses. Also, there are toolkits for performing
kinetic analysis of dynamic PET rCBF (regional cerebral blood flow)
and FDG data.
Online EMMA documentation
-
General EMMA documentation:
Explains the use of the EMMA analysis package, with examples.
-
Regional Cerebral Blood Flow (rCBF) Analysis:
Explains the theory, implementation, and use of the EMMA RCBF toolkit,
with examples. This is meant both as a usable application for
determining kinetic constants K1 and k2, and as an example of how to
write such applications with MATLAB and EMMA.
MATLAB Documentation and Information
A copy of the Mathworks' hypertext
MATLAB documentation is available for local users only.
MATLAB/EMMA demos
-
Basic EMMA image manipulation.
- Gives a demonstration of using MATLAB and
the EMMA toolkit to perform basic image manipulation (reading,
viewing, and writing of images).
-
Advanced EMMA image manipulation.
- Gives a demonstration of using MATLAB
and the EMMA toolkit to perform advanced image manipulation (masking,
averaging, producing time activity curves).
-
Controlling MATLAB Memory Use
- Gives some pointers on reducing memory use within MATLAB.
-
RCBF analysis
- Gives a demonstration of using MATLAB and the EMMA
toolkit to perform two-compartment RCBF (Regional Cerebral Blood Flow)
analysis.
-
Rat data analysis
- Gives a demonstration of using MATLAB to perform
two-compartment analysis on data gathered from rats. This method is
also extendable to finding local values of K1 and k2 in PET studies.
-
Curve fitting
- Gives a demonstration of using MATLAB to perform
least squares curve fitting.
-
Speeding up MATLAB
- Gives some examples of how to get the most out of
your MATLAB scripts.
Pages Under Development
-
Region of Interest Analysis with MATLAB
- Explains the use of the MATLAB/EMMA ROI package, with examples of use.
-
Tagged Region Analysis with MATLAB
- Gives some examples of using
MATLAB to analyze tagged volumes produced by Display.
This page was written by Mark
Wolforth (wolforth@bic.mni.mcgill.ca) and Greg Ward (greg@bic.mni.mcgill.ca).