Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4973449 | Biomedical Signal Processing and Control | 2017 | 9 Pages |
Abstract
Imaging has become an essential tool in modern medicine science. Numerous powerful platforms to register, store, analyze and process medical imaging applications appear in recent years. In this article, we have designed an advanced visual processing system (ViPS) that stores and processes complex and multi-dimensional medical imaging application. The ViPS provides a user-friendly programming environment and high-performance architecture for data acquisition, registration, storage, analysis and performs segmentation, filtering, and recognition of complex real-time complex and multidimensional medical images or videos. The proposed architecture is highly reliable concerning cost, performance, and power. ViPS is designed and evaluated on a Xilinx Virtex-7 FPGA VC707 Evaluation Kit. The performance of ViPS is compared with the Heterogeneous Multi-Processing Odroid XU3 board and GPU Jetson TK1 Embedded Development Kit with 192 CUDA cores based graphic systems. In comparison to the Heterogeneous Multi-core and GPU based Graphics systems, the results show that ViPS improves 2.4 and 1.4 times system performance respectively, for iridology application. While executing real-time complex images reconstruction at 2Ã and 1.25Ã of higher frame rate, the ViPS achieves 15.2Ã and 5.26Ã of performance improvement while running various image processing algorithms. The ViPS gets 3.01Ã and 1.13Ã of speedup for video processing algorithms and draws 1.55 and 2.27 times less dynamic power.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Tassadaq Hussain,