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NEUROIMAGING PLATFORM
Dr. Manuel Desco (G07) Neuroimaging Platform Manager
Scientific Committee formed by:
Dr . Joost Hansen (G01) Dra . Núria Bargalló (G04) Dr . Manuel Desco (G07) Dr . Josep Maria Haro (G11) Dr . Raymond Salvador (G15) Dr . Julio Sanjuán (G23)
Dr . Benedicto Crespo (G26)
The Neuroimaging Platform is a technical group within CIBERSAM having the main objective of enhancing the use of quantitative analysis techniques in neuroimaging . This Platform is the link between groups spe- cializing in processing and analysis in the Mental Health CIBER . It also acts as a bridge between clinical users and external groups having a technical profile and proven experience in image processing .
The permanent resources of the Neuroimaging Platform are located in the Medical Imaging Laboratory of the Experimental Surgery and Medicine Unit of Hospital General Universitario Gregorio Marañón, Madrid . The services of this Platform are available for all researchers of the Mental Health CIBER .
Among the activities developed in the Neuroimaging Platform in 2014 the highlights are:
• Maintenance and Optimisation of the DICOM server (http://dicomserver .hggm .es) .
• Improvements in Parallel Processing Cloud Servers .
• 70 virtual machines (very useful in multicentre studies) .
• Update and Improvement in the Magnetic Resonance Acquisition sequences: DTI (HARDI) and Resting-State fMRI .
• Advanced Processing Pipeline configuration for Structural studies, DTI and Rs-fMRI .
In relation to the available resources within the Platform, maintenance of the DICOM images server via web has been of very useful for the storage of a large volume of anonymised images, including different types of Magnetic Resonance Imaging . Highly efficient neuroimaging processing is maintained as a result of the management of the parallel processing server using virtualization, being very useful in multicentre studies . The development of tools for the processing and statistical analyse of fMRI images in small animals is also maintained .
44 CIBERSAM » Annual report 2014