LONI Visualization Tool

An interactive tool for stereotaxic brain data visualization. LOVE is a 3-D viewer that allows volumetric data display and manipulation of axial, sagittal and coronal views.

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Screenshot 1

Features

LONI Viz includes a SurfaceViewer and a full real-time Volume Renderer. These allow the user to view the relative positions of different anatomical or functional regions, which are not co-planar in any of the axial, sagittal or coronal 2D projection planes.
LONI Viz features a region drawing module used for manual delineation of regions of interest. A series of 2D contours describing the boundary of a region in projection planes (axial, sagittal or coronal) can be used to reconstruct the surface-representation of the 3D outer shell of the region.
A 3D shell can be resliced in directions complementary to the drawing direction, and these complementary contours can be loaded in all tree cardinal views. In addition the surface object can be displayed using the SurfaceViewer.
Brainmapper provides the real interaction between the anatomical (voxel/world) atlas coordinates, the brain-tree (region hierarchical labeling nomenclature), the region description data-base and the moleculo-genetic database allowing the user to synchronously query these sources of information and continuously map results between these different entities.

LONI Visualization Tool Support

Download Details

Version:	5.3
Release Date:	2006-05-23
Developer(s):	Ivo D. Dinov, Bae Cheol Shin, Fotios Konstantinidis and Arthur Toga
License:	LONI Software License
File Size:	51.65 Mb

SYSTEM REQUIREMENTS OS: Windows 98/2000/XP and Unix/Linux, Memory: 128 Mb, Processor: 600 MHz Pentium chip or better

Reference(s)
Dinov ID, Valentino D, Shin BC, Konstantinidis F, Hu G, MacKenzie-Graham A, Lee E-F, Shattuck D, Ma J, Schwartz C, and Toga AW (2006) LONI Visualization Environment Journal of Digital Imaging 19(2):148-158. [PMID: 16598642]

Acknowledgement(s)
This work was supported by:
NIH-NCRR 9P41EB015922-15 and 2-P41-RR-013642-15
NIH-NCRR U24 RR021760
NIH-NCRR U54 RR021813