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Mobile Visualization of Biomedical Volume Datasets

2012; Volume: 1; Issue: 2 Linguagem: Inglês

10.20533/jitst.2046.3723.2012.0008

2046-3723

Movania Muhammad Mobeen, Feng Lin,

AI in cancer detection

The WebGL platform has been introduced based on the OpenGL ES 2.0 API.It allows scripts embedded in a web browser to have native access to GPU hardware.Now that more and more real-time systems are moving towards a cloud-based architecture, it becomes important to capitalize on existing tools to extend the biomedical imaging and visualization domain.One such tool that can enable ubiquitous biomedical imaging and visualization is the WebGL platform.Existing work relies on a multi-pass strategy.We extend the visualization using a single pass approach.This gives much better performance especially on the mobile platforms where every additional texture access is costly.Quantitative evaluation reveals that the proposed algorithm outperforms the existing algorithm by a consistent 2x speedup not only on desktop platforms but also on the mobile platforms.Current mobile phones and tablets have limited support for dynamic loops thus, sampling rate cannot be changed dynamically and high quality renderings cannot be carried out.To circumvent these problems, we present the first 3D texture slicer.Since 3D texture slicing uses the rasterization hardware and support of the rasterizer is pervasive, we can not only modify the sampling rate but also carry out advanced effects.The design of our approach and extensive experiments are presented in this paper which proves the effectiveness of the proposed approach for pervasive biomedical data processing and visualization.