The paper describes a visualization mechanism that permits fast extraction of high-resolution slices of interest from large biomedical datasets stored remotely. To provide the user with real-time interaction, a sub-sampling mechanism of the 3D images has been developed. The 3D sub-sampled view is detailed enough to provide a context and allow a user to orient him/herself. The result of clipping is a high-resolution plane, which can be explored independently from the 3D image. The clipping engine is built as a client-server application, where the computation of high-resolution planes is executed on a server-site in parallel. This approach results in remarkably good performance. © Springer-Verlag 2004.
CITATION STYLE
Gavidia, D. P., Zudilova, E. V., & Sloot, P. M. A. (2004). A client-server engine for parallel computation of high-resolution planes. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3038, 970–977. https://doi.org/10.1007/978-3-540-24688-6_124
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