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CPU-based real-time maximim intensity projection via fast matrix transposition using parallelization operations with AVX instruction set

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A Correction to this article was published on 31 October 2017

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Abstract

Rapid visualization is essential for maximum intensity projection (MIP) rendering, since the acquisition of a perceptual depth can require frequent changes of a viewing direction. In this paper, we propose a CPU-based real-time MIP method that uses parallelization operations with the AVX instruction set. We improve shear-warp based MIP rendering by resolving the bottle-neck problems of the previous method of a matrix transposition. We propose a novel matrix transposition method using the AVX instruction set to minimize bottle-neck problems. Experimental results show that the speed of MIP rendering on general CPU is faster than 20 frame-per-second (fps) for a 512 × 512 × 552 volume dataset. Our matrix transposition method can be applied to other image processing algorithms for faster processing.

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  • 31 October 2017

    The authors regret that acknowledgment of the financial support of the first author was omitted from the manuscript.

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Acknowledgements

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (No. 2017R1A2B3011475).

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Authors and Affiliations

  1. Division of Computer Engineering, Hansung University, 116 Samseongyoro-16Gil Seongbuk-gu, Seoul, 136-792, South Korea

    Heewon Kye

  2. Department of Information Systems Engineering, Hansung University, 116 Samseongyoro-16Gil Seongbuk-gu, Seoul, 136-792, South Korea

    Se Hee Lee

  3. School of Computer Science & Engineering, Soongsil University, 369 Sangdo-Ro, Dongjak-Gu, Seoul, 156-743, South Korea

    Jeongjin Lee

Authors
  1. Heewon Kye
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  2. Se Hee Lee
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  3. Jeongjin Lee
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Corresponding author

Correspondence to Jeongjin Lee.

Appendix

Appendix

1.1 16 × 16 matrix transposition. AVX2 instructions and the processing examples

Table 6 16 × 16 tile transposition using AVX2
Full size table
Fig. 12
figure 12figure 12figure 12

The process of 16 × 16 matrix transposition. a Original, b after phase 1, c after phase 2, d after phase 3, and e after phase 4

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Kye, H., Lee, S.H. & Lee, J. CPU-based real-time maximim intensity projection via fast matrix transposition using parallelization operations with AVX instruction set. Multimed Tools Appl 77, 15971–15994 (2018). https://doi.org/10.1007/s11042-017-5171-2

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