LONI visualization environment.

Over the past decade, the use of informatics to solve complex neuroscientific problems has increased dramatically. Many of these research endeavors involve examining large amounts of imaging, behavioral, genetic, neurobiological, and neuropsychiatric data. Superimposing, processing, visualizing, or...

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Publicado en:Journal of Digital Imaging Vol. 19; no. 2; pp. 148 - 159
Autores principales: Dinov ID, Valentino D, Shin BC, Konstantinidis F, Hu G, MacKenzie-Graham A, Lee E, Shattuck D, Ma J, Schwartz C, Toga AW
Formato: diagnostic images pictorial tables/charts Journal Article
Publicado: Springer Nature Jun2006
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2006
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      pub: Springer Nature
      place: New York, New York
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        atl: LONI visualization environment.
      aug:
        au:
          Dinov ID
          Valentino D
          Shin BC
          Konstantinidis F
          Hu G
          MacKenzie-Graham A
          Lee E
          Shattuck D
          Ma J
          Schwartz C
          Toga AW
        affil: Center for Computational Biology and Laboratory of Neuro Imaging, Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA 90095, USA. ivo.dinov@loni.ucla.edu
      sug:
        subj:
          Brain Mapping
          Diagnostic Imaging
          Image Processing, Computer Assisted Methods
          Neurobiology Equipment and Supplies
          Data Analysis, Statistical
          Graphical User Interface
          Resource Databases, Health
          Software
      ab: Over the past decade, the use of informatics to solve complex neuroscientific problems has increased dramatically. Many of these research endeavors involve examining large amounts of imaging, behavioral, genetic, neurobiological, and neuropsychiatric data. Superimposing, processing, visualizing, or interpreting such a complex cohort of datasets frequently becomes a challenge. We developed a new software environment that allows investigators to integrate multimodal imaging data, hierarchical brain ontology systems, on-line genetic and phylogenic databases, and 3D virtual data reconstruction models. The Laboratory of Neuro Imaging visualization environment (LONI Viz) consists of the following components: a sectional viewer for imaging data, an interactive 3D display for surface and volume rendering of imaging data, a brain ontology viewer, and an external database query system. The synchronization of all components according to stereotaxic coordinates, region name, hierarchical ontology, and genetic labels is achieved via a comprehensive BrainMapper functionality, which directly maps between position, structure name, database, and functional connectivity information. This environment is freely available, portable, and extensible, and may prove very useful for neurobiologists, neurogenetisists, brain mappers, and for other clinical, pedagogical, and research endeavors.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        pictorial
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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