NIHmagic: 3D visualization, registration, and segmentation tool

Raisa Z. Freidlin; Chikai J. Ohazama; Andrew E. Arai; Delia P. McGarry; Julio A. Panza; Benes L. Trus

doi:10.1117/12.384874

5 May 2000 NIHmagic: 3D visualization, registration, and segmentation tool

Raisa Z. Freidlin, Chikai J. Ohazama, Andrew E. Arai, Delia P. McGarry, Julio A. Panza, Benes L. Trus

Proceedings Volume 3905, 28th AIPR Workshop: 3D Visualization for Data Exploration and Decision Making; (2000) https://doi.org/10.1117/12.384874
Event: 28th AIPR Workshop: 3D Visualization for Data Exploration and Decision Making, 1999, Washington, DC, United States

Abstract

Interactive visualization of multi-dimensional biological images has revolutionized diagnostic and therapy planning. Extracting complementary anatomical and functional information from different imaging modalities provides a synergistic analysis capability for quantitative and qualitative evaluation of the objects under examination. We have been developing NIHmagic, a visualization tool for research and clinical use, on the SGI OnyxII Infinite Reality platform. Images are reconstructed into a 3D volume by volume rendering, a display technique that employs 3D texture mapping to provide a translucent appearance to the object. A stack of slices is rendered into a volume by an opacity mapping function, where the opacity is determined by the intensity of the voxel and its distance from the viewer. NIHmagic incorporates 3D visualization of time-sequenced images, manual registration of 2D slices, segmentation of anatomical structures, and color-coded re-mapping of intensities. Visualization of MIR, PET, CT, Ultrasound, and 3D reconstructed electron microscopy images has been accomplished using NIHmagic.

Citation Download Citation

Raisa Z. Freidlin, Chikai J. Ohazama, Andrew E. Arai, Delia P. McGarry, Julio A. Panza, and Benes L. Trus "NIHmagic: 3D visualization, registration, and segmentation tool", Proc. SPIE 3905, 28th AIPR Workshop: 3D Visualization for Data Exploration and Decision Making, (5 May 2000); https://doi.org/10.1117/12.384874

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