VolBrain: New system for neurological research

1 06 2015

The UPV and the CNRS to develop volBrain, a new system key free online for the investigation of neurological pathologies

 A team of researchers from the Institute of application of the information technology and the advanced communications of the Universitat Politècnica de València (ITHACA-UPV) and the National Center for scientific research of France (CNRS) they have developed volBrain, a new platform free online that allows an automatic analysis, fast and detailed imaging of magnetic resonance imaging of the brain, facilitating scientific information key to the progress in the research on neurological pathologies.

In fact, in the three months that has been in operation, volBrain has already processed more than 1.500 from more cases of 70 universities, research centers, clinics and hospitals in the five continents. Today processed around 30 cases per day, Although the system has the capacity to process up to 500 each 24 hours.

 

Information about volumes and rates of asymmetry of the subcortical structures

volBrain provides information on the volumes of the intracranial cavity tissues (ICC) -CSF, GM and WM)-, as well as some macroscopic areas as the cerebral hemispheres, the cerebellum and the brain stem. At the same time, It provides volume and indices of asymmetry of the subcortical structures, of great importance in the neurological field.

To do this, It includes a set of tools developed by the researchers of the UPV and the CNRS that allow comprehensive and accurate analysis of the brain volume, comparing each new case coming into the system with a database of 50 manually tagged brains.

 

Effective in the diagnosis of diseases such as Alzheimer's

Jose Vicente Manjon, researcher of the ITHACA-UPV, explains that “volBrain can measure structures such as the hippocampus and the amygdala, very important in the development of a disease like Alzheimer's. One of the effects of this pathology is the reduction of the volume of the hippocampus, that can be measured in automatic and precise way in our system”.

“volBrain provides very important information to measure cerebral atrophy, fact that could help in the diagnosis and monitoring of neurological diseases where there are morphological alterations, for example Alzheimer's disease”, aims Manjón.

 

It reduces to just 15 minutes a process that to date cost 15 hours

Among its main advantages, volBrain notable mainly for its ease of use and speed of analysis, that differentiates it from other similar systems that exist in the market. “The user does not need to install any software. Just send a compressed Web archive. The information reaches our local cluster and, in a few 15 minutes, the system sends you a report with the results of the segmentation and processing of brain volumes by email. Existing similar systems take 15 hours to provide this information”, explains Manjón.

“The similarities of brain patterns we use to label and measure the volumes of each new case. In addition, If the age and sex of the subject data are included, the system allows you to check if the analyzed case is inside or non-normal parameters associated with these variables”, concludes the scientist of the ITHACA-UPV.

VolBrain, In addition, send a screenshot of the measurement process in the report so the user can visualize the segmentation of brain structures.

 

International presentation, in June

Researchers from the University and CNRS will present volBrain in the Human Brain Mapping Conference, the most important event in the world on neuroimaging, to take place next month of June in Honolulu.

 

More information

volBrain, a new system for neurological research

 

 

Upv.es [en línea] Valencia (ESP): UPV.es 01 in June of 2015 [REF. 25 in May of 2015] Available on Internet: HTTPS://www.upv.es/noticias-upv/noticia-7475-neurociencia-es.html


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One response to “VolBrain: New system for neurological research”

13 08 2015
Carles Tamez R (15:25:47) :

Impressive, really a fact to keep in mind. I hope I can help so much as foreseen :)

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