title: Dedicated hardware processor and corresponding system-on-chip design for real-time laser speckle imaging.
abstract: Laser speckle imaging (LSI) is a noninvasive and full-field optical imaging technique which produces two-dimensional blood flow maps of tissues from the raw laser speckle images captured by a CCD camera without scanning. We present a hardware-friendly algorithm for the real-time processing of laser speckle imaging. The algorithm is developed and optimized specifically for LSI processing in the field programmable gate array (FPGA). Based on this algorithm, we designed a dedicated hardware processor for real-time LSI in FPGA. The pipeline processing scheme and parallel computing architecture are introduced into the design of this LSI hardware processor. When the LSI hardware processor is implemented in the FPGA running at the maximum frequency of 130 MHz, up to 85 raw images with the resolution of 640×480 pixels can be processed per second. Meanwhile, we also present a system on chip (SOC) solution for LSI processing by integrating the CCD controller, memory controller, LSI hardware processor, and LCD display controller into a single FPGA chip. This SOC solution also can be used to produce an application specific integrated circuit for LSI processing.
authors: Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Wuhan, China.
authors: Chao
authors: C
authors: Jiang
authors: Hongyan
authors: H
authors: Zhang
authors: Jia
authors: J
authors: Wang
authors: Yaru
authors: Y
authors: Wang
authors: Heng
authors: H
authors: He
authors: Rui
authors: R
authors: Liu
authors: Fangyuan
authors: F
authors: Zhou
authors: Jialiang
authors: J
authors: Deng
authors: Pengcheng
authors: P
authors: Li
authors: Qingming
authors: Q
authors: Luo
mesh_terms: D000465:Algorithms; D000818:Animals; D001783:Blood Flow Velocity; D002540:Cerebral Cortex / Q000098:blood supply; D003201:Computers; D003952:Diagnostic Imaging / Q000379:methods*; D004582:Electronics, Medical; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D051379:Mice; D055095:Optics and Photonics / Q000379:methods*