Difference between revisions of "Home"

From COMKAT wiki
Jump to navigation Jump to search
Line 1: Line 1:
<big><big> '''Welcome''' </big></big> to the new COMKAT website, based on wiki now! Learn how to use the new features here.  
+
<big><big> '''Welcome''' </big></big> '''to the new COMKAT website, based on wiki now! Learn how to use the new features here.
 +
'''
  
 
+
{| style="width: 100%; border: 1px solid #cccccc; background: #fcfcfc;" align="center"
== What is COMKAT ==
+
|-
COMKAT is a toolbox designed to meet both the needs from imaging and modeling.
+
| style="color: black;" align="center"|
 
+
{| border="0" style="width: 700px; background: none; align: center;"
 
+
|-
== Features of COMKAT ==
+
| id="EnWpMpBook2" style="white-space: nowrap; background-repeat: no-repeat; background-position: 0% 20%; text-align: center; font-size: 130%" |
Features of COMKAT include:
+
'''What is COMKAT?'''
<br> 1. Fast model solving including the sensitivity functions
+
| style="width: 500px; font-size: 120%;" |
<br> 2. Either command line tools or GUI.
+
COMKAT 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.  Using the GUI, models are built by dragging and dropping compartments and inputs. Using the command line interface, models are specified using methods of the CompartmentModel object. Sensitivity equations are supported. No mathematical derivations are required on the part of the user.  
<br> 3. Power functions for processing images.
+
|}

Revision as of 20:34, 7 August 2007

Welcome to the new COMKAT website, based on wiki now! Learn how to use the new features here.

What is COMKAT?

COMKAT 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.  Using the GUI, models are built by dragging and dropping compartments and inputs.  Using the command line interface, models are specified using methods of the CompartmentModel object.  Sensitivity equations are supported.  No mathematical derivations are required on the part of the user.