Difference between revisions of "Learn more..."

From COMKAT wiki
Jump to navigation Jump to search
(New page: Learn more about COMKAT)
 
Line 1: Line 1:
Learn more about COMKAT
+
COMKAT, which stands for 'COmpartment Model Kinetic Analysis Tool', is MATLAB software for compartmental modeling oriented to nuclear medicine applications (PET & SPECT). It supports models of a wide range complexity including multiple injection, receptor model with saturation. It supports many image formats, including DICOM images. Using either the command line interface or GUI, models are easily specified, solved or used to fit experimental data. Sensitivity equations are supported. No mathematical derivations are required on the part of the user.
 +
 
 +
== Inside COMKAT ==
 +
COMKAT serves as a bridge between biomedical imaging and modeling analysis. It can be divided into the following components:
 +
 
 +
* '''Command line functions'''
 +
The command line functions of COMKAT provides functionalities to both imaging and modeling analysis. You can write a Matlab script to construct a compartment model with as simple as several lines. Models can be solved or used to estimate parameters. These functions are the basis of COMKAT because all the GUIs call underlying functions.
 +
 
 +
* '''COMKAT GUI'''
 +
This GUI is designed for compartment modeling. Input and output can be loaded from various file formats. You may also set the output directly from images with COMKAT Image Tool. You can use the COMKAT GUI to fit experimental data and simply to simulate model output.
 +
 
 +
* '''COMKAT Image Tool'''
 +
This GUI is designed for image display, fusion and region of interest. We support various image formats.
 +
 
 +
* '''COMKAT Input function GUI'''
 +
To load input functions from files or functions, a user can use the input function GUI.
 +
 
 +
== Compatibility ==
 +
COMKAT was originally designed to run as a Matlab toolbox. It can run as two modes now:
 +
* '''Standalone application'''
 +
We have compiled COMKAT as a standalone executable now. This would require Matlab Component Runtime [http://www.mathworks.com/access/helpdesk/help/toolbox/compiler/index.html?/access/helpdesk/help/toolbox/compiler/f12-999353.html].
 +
 
 +
{{DISPLAYTITLE:About COMKAT}}

Revision as of 20:03, 29 October 2007

COMKAT, which stands for 'COmpartment Model Kinetic Analysis Tool', is MATLAB software for compartmental modeling oriented to nuclear medicine applications (PET & SPECT). It supports models of a wide range complexity including multiple injection, receptor model with saturation. It supports many image formats, including DICOM images. Using either the command line interface or GUI, models are easily specified, solved or used to fit experimental data. Sensitivity equations are supported. No mathematical derivations are required on the part of the user.

Inside COMKAT

COMKAT serves as a bridge between biomedical imaging and modeling analysis. It can be divided into the following components:

  • Command line functions

The command line functions of COMKAT provides functionalities to both imaging and modeling analysis. You can write a Matlab script to construct a compartment model with as simple as several lines. Models can be solved or used to estimate parameters. These functions are the basis of COMKAT because all the GUIs call underlying functions.

  • COMKAT GUI

This GUI is designed for compartment modeling. Input and output can be loaded from various file formats. You may also set the output directly from images with COMKAT Image Tool. You can use the COMKAT GUI to fit experimental data and simply to simulate model output.

  • COMKAT Image Tool

This GUI is designed for image display, fusion and region of interest. We support various image formats.

  • COMKAT Input function GUI

To load input functions from files or functions, a user can use the input function GUI.

Compatibility

COMKAT was originally designed to run as a Matlab toolbox. It can run as two modes now:

  • Standalone application

We have compiled COMKAT as a standalone executable now. This would require Matlab Component Runtime [1].