Software GridMRI | EGI Applications Database

Applications Database
Supporting
Applications Database
Supporting
Applications Database
Supporting
Applications Database
Supporting
Applications Database
Supporting

Click to visit the AppDB VMOps Dashboard for deploying and managing Virtual Machines to the EGI Cloud infrastructure.read more

.noscript.softwareentry {display: block;width: 1000px;}.noscript.softwareentry .field {display: block;padding-bottom: 0.5em;padding-left: 10em;width: auto;text-align:left;}.noscript.softwareentry .field .fieldtype {color: #444444;display: inline-block;font-weight: bold;min-width: 90px;vertical-align: top;width: 90px;}.noscript.softwareentry .field .fieldvalue {display: inline-block;max-width: 780px;text-align:left;}.noscript.softwareentry .field.image {height: 100px;left: -110px;position: absolute;top: 0;width: 100px;.height: 100px;border:none;}

Name:GridMRI

Description:Grid pre-processing of fMRI images

Abstract:Human brain functions localization has always been one of the most attractive topic in scientific fields. The fast development of Computer Tomography (CT) and Magnetic Resonance Imaging (MRI) now allows a better detection of different cerebral areas. There are many brain imaging techniques, such as SPECT (Single Photon Emission Computed Tomography), PET (Positron Emission Tomography), MEG (Magnetoencephalography), but the interest of this application is oriented to a particular kind of brain imaging: the fMRI (Functional Magnetic Resonance Imaging). It’s based on the same rules of the MRI and it studies the change of brain blood flow together with the change of blood oxygenation that the addition of brain activity generates. During an exam session many functional images are collected with and without stimulations so that its possible to compare retired and active images. To obtain committable information about size and localization of activated brain regions a statistical analysis is necessary. In this application this kind of analysis is executed through the software SPM that offers many patterns and methods for fMRI analysis. SPM is a software package designed to analyze functional neuroimaging data. Its primary goal is to produce a statistically meaningful comparison between groups of images. Acquirement of fMRI images is carried out through magnetic resonance machines existing in Irccs ’’Centro Neurolesi’’ (Messina) radiology. The ultimate goal of fMRI data analysis is to detect correlations between brain activation and the task the subject performs during the scan. For a typical fMRI scan using an EPI pulse sequence the 3D volume of the subject’s head is imaged every one or two seconds, producing a number of complete images per scanning session ranging from a few hundred to a few thousand. These images are saved by radiologists or radiological technicians in a local database. Usually any scanner saves images to DICOM or proprietary file formats, so that these files, have to be converted from DICOM to ANA