A Scalable FPGA-Based Custom Computing Machine for a Medical Image Processing

Napa, California September 22-September 24

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http://doi.ieeecomputersociety.org/10.1109/FPGA.2002.1106695

10th Annual IEEE Symposium on Field-P ...

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	Takashi Yokota, Masamichi Nagafuchi, Yoshito Mekada, Tsutomu Yoshinaga, Kanemitsu Ootsu, Takanobu Baba, "A Scalable FPGA-Based Custom Computing Machine for a Medical Image Processing," Field-Programmable Custom Computing Machines, Annual IEEE Symposium on, pp. 307, 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'02), 2002.

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	@article{ 10.1109/FPGA.2002.1106695, author = {Takashi Yokota and Masamichi Nagafuchi and Yoshito Mekada and Tsutomu Yoshinaga and Kanemitsu Ootsu and Takanobu Baba}, title = {A Scalable FPGA-Based Custom Computing Machine for a Medical Image Processing}, journal ={Field-Programmable Custom Computing Machines, Annual IEEE Symposium on}, volume = {0}, year = {2002}, issn = {1082-3409}, pages = {307}, doi = {http://doi.ieeecomputersociety.org/10.1109/FPGA.2002.1106695}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on TI - A Scalable FPGA-Based Custom Computing Machine for a Medical Image Processing SN - 1082-3409 SP EP A1 - Takashi Yokota, A1 - Masamichi Nagafuchi, A1 - Yoshito Mekada, A1 - Tsutomu Yoshinaga, A1 - Kanemitsu Ootsu, A1 - Takanobu Baba, PY - 2002 KW - null VL - 0 JA - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on ER -

Takashi Yokota, Utsunomiya University

Masamichi Nagafuchi, Utsunomiya University

Yoshito Mekada, Nagoya University

Tsutomu Yoshinaga, The University of Electro-Communications

Kanemitsu Ootsu, Utsunomiya University

Takanobu Baba, Utsunomiya University

Concentration index filter is a kind of spatial filters of images, and its typical application is diagnosis from medical images. This paper presents a dedicated computing engine for concentration index filtering. Original algorithm is modified to extract full parallelism and data width is optimized for maximizing clock speed and minimizing hardware scale. Evaluation results reveal that the system runs 100 times faster than current workstation and enables real-time diagnosis.

Citation:

Takashi Yokota, Masamichi Nagafuchi, Yoshito Mekada, Tsutomu Yoshinaga, Kanemitsu Ootsu, Takanobu Baba, "A Scalable FPGA-Based Custom Computing Machine for a Medical Image Processing," fccm, pp.307, 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'02), 2002

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