Abstract
Improving the image quality and the rendering speed have always been a challenge to the programmers involved in large scale volume rendering especially in the field of medical image processing. The paper aims to perform volume rendering using the GPU, in which, with its massively parallel capability has the potential to revolutionize this field. The final results would allow the doctors to diagnose and analyze the 2D CT-scan data using three dimensional visualization techniques. The system is used in two types of data, one is human abdomen (45 MB) and colon_phantom8 (300MB) volume data. Further, the use of CUDA framework, a low learning curve technology, for such purpose would greatly reduce the cost involved in CT scan analysis; hence bring it to the common masses. The volume rendering has been done on Nvidia Tesla C1060 card and its performance has also been benchmarked.
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Kumar, P., Agrawal, A. (2013). CUDA Based Interactive Volume Rendering of 3D Medical Data. In: Agrawal, A., Tripathi, R.C., Do, E.YL., Tiwari, M.D. (eds) Intelligent Interactive Technologies and Multimedia. IITM 2013. Communications in Computer and Information Science, vol 276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37463-0_11
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DOI: https://doi.org/10.1007/978-3-642-37463-0_11
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