PMOD Base Functionality Introduction

This guide describes the installation of the PMOD software, the different levels of configuration, and the versatile image analysis tool which belongs to the base installation of PMOD. It supports many operations for image reviewing and scientific data analysis:

▪Loading medical images in different formats, including DICOM.

▪Viewing the images with different color tables and in different layouts.

▪Calculating new slice images in arbitrary new orientations.

▪Performing various image processing and manipulation operations.

▪Displaying fusion images of matched data sets (image registration is a separate option).

▪Performing volume-of-interest analyses and the calculation of time-activity curves from dynamic studies.

▪Saving images in different formats, including DICOM, and directly C-STORE them to a DICOM server.

▪Statistical comparison of group outcomes via a console interface to R.

▪Supports data generation and preparation of the trainings sets for the PAI module. Please refer to the dedicated PMOD Artificial Intelligence Framework (PAI) user guide for detailed information about the learning sets preparation, prediction, classification and case studies.

Additionally, this guide explains important notions generally used in PMOD tools such as

▪The image data formats, their loading and saving.

▪Control of layouts and image display.

▪Inter-operation of tools.

For getting started with PMOD we recommend the following approach:

1.Browse this document as it gives the foundation for all other PMOD tools.

2.Browse the PMOD User's Guides of the other PMOD tools you are interested in.

3.Use the training resources offered via the PMOD website including video tutorials based on the demo data provided with the installation.

For in-depth understanding of PET Kinetic Modeling we strongly recommend the PMOD users to attend one of the excellent yearly PET Pharmacokinetics Courses. These courses include theory as well as practical work and are organized by the the top experts in the domain. Another worthwhile course is PET Methodology (King's College London). An additional source of valuable information is the data analysis website of the Turku PET Centre.