LONI visualization environment.

Ivo D Dinov; Daniel Valentino; Bae Cheol Shin; Fotios Konstantinidis; Guogang Hu; Allan MacKenzie-Graham; Erh-Fang Lee; David Shattuck; Jeff Ma; Craig Schwartz; Arthur W Toga

doi:10.1007/s10278-006-0266-8

PubMed · 16598642

LONI visualization environment.

Ivo D Dinov·Daniel Valentino·Bae Cheol Shin·Fotios Konstantinidis·Guogang Hu·Allan MacKenzie-Graham·Erh-Fang Lee·David Shattuck·Jeff Ma·Craig Schwartz·Arthur W Toga

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Abstract

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.

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Brain Mapping Data Interpretation, Statistical Databases, Factual Diagnostic Imaging Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional Local Area Networks Neurobiology Software User-Computer Interface Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

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Ivo D Dinov, Daniel Valentino, Bae Cheol Shin, Fotios Konstantinidis, Guogang Hu, Allan MacKenzie-Graham, Erh-Fang Lee, David Shattuck, Jeff Ma, Craig Schwartz, Arthur W Toga. 2006. LONI visualization environment.. https://doi.org/10.1007/s10278-006-0266-8

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