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GLIMPS Project


Scroll to the bottom of the page to read about the latest project developments and current Target activities related to the GLIMPS project.


Idiopathic Parkinson's disease (IPD), a neuron-degenerative brain disorder that leads to malfunctioning of the motor system, is one of the health disorders that are most difficult to diagnose. No reliable clinical diagnostic tools for the early diagnosis of Parkinson's disease have been developed and frequently, other motor disorders like multiple system atrophy (MSA) and progressive supranuclear palsy (PSP) can be misdiagnosed as IPD. An ongoing national project, called GLucose IMaging in ParkinsonismS (GLIMPS) aims at testing the feasibility of a novel image-based classification algorithm for accurate and early diagnosis of IPD.

The project, funded by the International Parkinson Foundation and led by Dr. K Leenders, a professor of neurology at the University Medical Center Groningen (UMCG), investigates patients with Parkinson's-like syndromes (IPD, MSA or PSP). Clinical patient information and FDG-PET (Positron Emission Tomography) scans are provided to the GLIMPS database by the Department of Neurology (Drs. L.K. Teune) and Nuclear Medicine and Molecular Imaging (Prof. dr. R.A. Dierckx) at UMCG, along with ten other Dutch medical centers. The NeuroImaging Center (Dr. R.J. Renken) and the Department of Scientific Visualisation and Computer Graphics (Prof. dr. J.B.T.M. Roerdink) at RUG supervises the running of the image-based algorithms and further improves their performance as an image-analysis tool.

Target's role in GLIMPS is to develop and maintain the GLIMPS database, which will be hosted on the Target infrastructure, according to the functionality requirements of the project. All data is electronically transferred to the GLIMPS database, allowing treating physicians to access data for their own patients, while preserving absolute confidentiality when these data is used for medical research by third parties. Target is also involved in ensuring smooth and reliable implementation of the image-based classification algorithm on its processing cluster facilities. In the end, the diagnosis based on the image-based classification algorithm will be compared to the clinical diagnosis to evaluate the effectiveness of the proposed new technique.

Neuro-degenerative diseases like MSA, PSP, CBD and DLB can be easily mistaken for Idiopathic Parkinson's disease (PD). GLIMPS project aims at finding new and effective diagnostic tools for PD based on the enhanced capabilities offered by merging medical equipment and ICT into an integrated environment. The Target consortium is actively engaged in providing database expertise for GLIMPS. The image illustrates brain scan images of patients with neuro-degenerative diseases. Such images form the main body of data used in the GLIMPS project.
Neuro-degenerative diseases like MSA, PSP, CBD and DLB can be easily mistaken for Idiopathic Parkinson's disease (PD). GLIMPS project aims at finding new and effective diagnostic tools for PD based on the enhanced capabilities offered by merging medical equipment and ICT into an integrated environment. The Target consortium is actively engaged in providing database expertise for GLIMPS. The image illustrates brain scan images of patients with neuro-degenerative diseases. Such images form the main body of data used in the GLIMPS project.
Latest Project Developments

As of September 2013 there are seven medical centres in the Netherlands which are contributing PET scans to the Glimps database. Another four are in the process of being integrated into the system: this involves connecting them to the database in a secure way and processing a test scan. Two new centres, including one in Germany, have expressed an interest and will also be integrated in the near future. To support medical centres outside the Netherlands, the GLIMPS database interface is now available in English as well as Dutch.

The analysis of data inside the GLIMPS system is currently triggered manually, but as the flow of data increases there is a need to automatically trigger routine analysis from within the database application. A script for this is available and will be integrated before the end of 2013.

Laatst gewijzigd:15 juni 2016 15:46