Difference between revisions of "Learn more..."
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− | + | 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].