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


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).