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NS10347

Modern pattern recognition methods for image data analysis in neuropsychiatric research

Project goals

The presented project suggests creation of authorized software utilizable in the clinical practice for computer-aided diagnostics of neuropsychiatric disorders from MRI brain images. The project proposal comes from the experience with existing software packages which are nowadays utilized in the neuroimaging community and also from our original methodology for brain morphology assessment in first episode schizophrenia. The software, which is the main subject of the proposed project, will connect complexmethods for 3-D MRI brain image processing and analysis with an advanced assessing apparatus based on pattern recognition and machine learning methods. A new tool for automated analysis of image data will be developed for the application field of computational neuroanatomy. Besides common comparisons among groups of patients and normal subjects, it will make it possible to set a new type of classification assessment , even in the case of an individual analyzed subject, in contrast to VBM and DBM.

Keywords

image processingcomputational neuroanatomydeformable registrationpattern recognitionclassificationMRIbrain imagesmultimodal methods

Public support

  • Provider

    Ministry of Health

  • Programme

    Departmental Programme of Research and Development - MH II from 2008 to 2011

  • Call for proposals

    VaV pro Ministerstvo zdravotnictví II 2 (SMZ0200901)

  • Main participants

  • Contest type

    VS - Public tender

  • Contract ID

    NS10347-3/2009

Alternative language

  • Project name in Czech

    Moderní metody rozpoznávání pro analýzu obrazových dat v neuropsychiatrickém výzkumu

  • Annotation in Czech

    Předkládaný projekt navrhuje vytvořit autorizovaný software využitelný v klinické praxi při počítačové diagnostice neuropsychiatrických poruch z MRI obrazů mozku. Návrh projektu vychází ze zkušeností s existujícími softwarovými balíky, které jsou v současné době využívány v neurozobrazovací komunitě a dále z vlastní metodiky pro hodnocení morfologie mozku při první epizodě schizofrenie. Plánovaný software, který je hlavním předmětem předkládaného projektu, v sobě bude spojovat komplexní metody zpracování a analýzy 3-D MRI obrazů mozku s následným hodnotícím aparátem založeným na metodách rozpoznávání a strojového učení. Vznikne tak nový prostředek pro automatickou analýzu obrazových dat v oblasti výpočetní neuroanatomie, který na rozdíl od existujícíchmetod VBM (voxel-based morphometry) a DBM (deformation-based morphometry) umožní vedle konvenčního srovnávání souborů pacientů a zdravých kontrol také nový typ klasifikačního hodnocení, a to i v případě individuálního analyzovaného subjektu.

Scientific branches

  • R&D category

    NV - Nonindustrial research (Applied research excluded Industrial research)

  • CEP classification - main branch

    EI - Biotechnology and bionics

  • CEP - secondary branch

    FH - Neurology, neuro-surgery, nuero-sciences

  • CEP - another secondary branch

  • 20801 - Environmental biotechnology
    20802 - Bioremediation, diagnostic biotechnologies (DNA chips and biosensing devices) in environmental management
    20803 - Environmental biotechnology related ethics
    20901 - Industrial biotechnology
    20902 - Bioprocessing technologies (industrial processes relying on biological agents to drive the process) biocatalysis, fermentation
    20903 - Bioproducts (products that are manufactured using biological material as feedstock) biomaterials, bioplastics, biofuels, bioderived bulk and fine chemicals, bio-derived novel materials
    30103 - Neurosciences (including psychophysiology)
    30210 - Clinical neurology
    30401 - Health-related biotechnology
    30402 - Technologies involving the manipulation of cells, tissues, organs or the whole organism (assisted reproduction)
    30403 - Technologies involving identifying the functioning of DNA, proteins and enzymes and how they influence the onset of disease and maintenance of well-being (gene-based diagnostics and therapeutic interventions [pharmacogenomics, gene-based therapeutics])
    30404 - Biomaterials (as related to medical implants, devices, sensors)
    30405 - Medical biotechnology related ethics
    40401 - Agricultural biotechnology and food biotechnology
    40402 - GM technology (crops and livestock), livestock cloning, marker assisted selection, diagnostics (DNA chips and biosensing devices for the early/accurate detection of diseases) biomass feedstock production technologies, biopharming
    40403 - Agricultural biotechnology related ethics

Completed project evaluation

  • Provider evaluation

    V - Vynikající výsledky projektu (s mezinárodním významem atd.)

  • Project results evaluation

    Authorized software usable in the clinical practice for computer-aided diagnosis of neuropsychiatric disorders from imaging data. , including algorithms for deformation -based brain morphometry, image data reduction and classification.

Solution timeline

  • Realization period - beginning

    Jan 1, 2009

  • Realization period - end

    Dec 31, 2011

  • Project status

    U - Finished project

  • Latest support payment

    Aug 8, 2011

Data delivery to CEP

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

  • Data delivery code

    CEP12-MZ0-NS-U/09:3

  • Data delivery date

    Oct 31, 2013

Finance

  • Total approved costs

    856 thou. CZK

  • Public financial support

    856 thou. CZK

  • Other public sources

    0 thou. CZK

  • Non public and foreign sources

    0 thou. CZK