Mr. Sagar Saladi Profile

Sagar Saladi

at Mississippi State Univ

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Proceedings Article | 12 March 2002 Paper

Remote transformation and local 3D reconstruction and visualization of biomedical data sets in Java3D

Pujita Pinnamaneni, Sagar Saladi, Joerg Meyer

Proceedings Volume 4665, (2002) https://doi.org/10.1117/12.458809

KEYWORDS: Visualization, Wavelets, Volume rendering, Transparency, C++, Biomedical optics, Data storage, Data centers, Java, 3D image processing

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Advanced medical imaging technologies have enabled biologists and other researchers in biomedicine, biochemistry and bio-informatics to gain better insight in complex, large-scale data sets. These datasets, which occupy large amounts of space, can no longer be stored on local hard drives. San Diego Supercomputer Center (SDSC) maintains a large data repository, called High Performance Storage System (HPSS), where large-scale biomedical data sets can be stored. These data sets must be transmitted over an open or closed network (Internet or Intranet) within a reasonable amount of time to make them accessible in an interactive fashion to the researchers all over the world. Our approach deals with extracting, compressing and transmitting these data sets using the Haar wavelets, over a low- to medium-bandwidth network. These compressed data sets are then transformed and reconstructed into a 3-D volume on the client side using texture mapping in Java3D. These data sets are handled using the Scalable Visualization Toolkits provided by the NPACI (National Partnership for Advanced Computational Infrastructure). Sub-volumes of the data sets are extracted to provide a detailed view of a particular region of interest (ROI). This application is being ported to C++ platform to obtain higher rendering speed and better performance but lacks platform independency.

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