Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98892
Title: Demons kernel computation with single-pass stream processing on FPGA
Authors: Chiew, Wei Ming
Lin, Feng
Qian, Kemao
Seah, Hock Soon
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Chiew, W. M., Lin, F., Qian, K.,& Seah, H. S. (2012). Demons Kernel Computation with Single-pass Stream Processing on FPGA. 2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems, 1321 - 1328.
Abstract: Non-rigid registration is crucial in imaging, in particular, to adjust deformities produced during image acquisition and improve the accuracy of datasets. However, conventional imaging systems lack the desired speed and computational bandwidth for additional non-rigid registration of the deformed images. Therefore, such functionality is usually unavailable in time-critical settings. Expensive computations and memory intensive characteristics of non-rigid image registration algorithms such as the Demons algorithm further limits the realization of such systems. In response, we propose an alternative and efficient custom hardware-based Demons registration algorithm which utilizes pipelined streaming models to minimize memory fetches for computation. Designed for highly customizable hardware, our design only requires single-pass of images to compute the Demons kernel. Implementation results on the Xilinx ML605 FPGA system is presented and quantitatively evaluated in clock cycle counts in contrast with a software-based implementation.
URI: https://hdl.handle.net/10356/98892
http://hdl.handle.net/10220/12752
DOI: 10.1109/HPCC.2012.195
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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