PMOD 3.1 upgrade

張貼日期：May 08, 2010 1:59:27 PM

最近實驗室升級了先前購置的影像分析軟體，幾個升級的功能彙整如下:

The new product version 3.1 is now available. It includes more than 130 improvements with main highlights in VOI and kinetic modeling functionalities, as documented in the Release Notes on our website. Here a selection of some notable improvements:

• Flexible inclusion/exclusion functionality on the contour and VOI level to create complex VOIs from which inner parts may be excluded.

• Usage of indvidual pixels to form VOIs or to extend existing VOIs; exclusion of pixels from existing VOIs.

• Combination of masks with VOIs, for example to restrict contour VOIs to gray matter segments.

• Introduction of true geometric VOI objects which can be scaled and moved in all directions.

• Randomized fitting of kinetic models with randomly generated initial parameters for avoiding local minima.

• Automatic initial parameter determination for compartment models by the linear least squares method.

• User-defined parameter defaults per kinetic model.

• Extended history of the tested kinetic models which allows to easily compare their outcome.

• Improved user interface for more easily producing expressive volume renderings in the 3D tool.

CAUTION: As a consequence of some improvements, kinetic modeling in the 3.1 version may return slightly different results than the prior versions. Please refer to the Release Notesfor details.

其中，Performance Assessment of PALZ Tool 也有新的文獻支持:

Haense et al. have tested the performance of the PALZ tool with data from two different databases. The study confirms the high accuracy of FDG PET with PALZ for the discrimination between Alzheimer's Dementia patients and normal controls. Furthermore it demonstrates that PALZ can be equally applied to studies with eyes open or closed during the uptake phase. Only 7 out of 464 images had to be excluded from the analysis due to a failure of the normalization procedure.