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Hardware-software co-design of 3D data compression for real-time ultrasonic imaging applications

机译:用于实时超声成像应用的3D数据压缩的软软件协同设计

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Many of the ultrasonic NDE and imaging applications require processing of huge amount of data in real-time. Compression of acquired data helps to reduce the storage and to rapidly transmit information to remote locations for further analysis. Signal fidelity, computational speed and resource utilization are the major parameters to be considered while designing the architecture for the compression algorithm. The objective of this study is to implement discrete wavelet transform (DWT) based ultrasonic 3D data compression algorithm on a reconfigurable ultrasonic system-on-chip hardware platform targeted for real-time ultrasonic imaging applications. The reconfigurable platform allows analysis of multiple architectures to suit various applications. The algorithm is implemented as a hardware-only design and hardware-software co-design. Both implementations provide a high signal compression ratio of about 98% with good quality signal reconstruction. This study demonstrates that, compressing 33 MBytes of experimental ultrasonic 3D data into 0.4 MBytes requires only one-fourth of a second for hardware-only design, and one minute for hardware-software co-design, making both designs highly suitable for real-time ultrasonic imaging applications.
机译:许多超声NDE和成像应用程序需要实时处理大量数据。压缩采集的数据有助于减少存储量,并将信息快速传输到远程位置以进行进一步分析。信号保真度,计算速度和资源利用率是设计压缩算法架构时要考虑的主要参数。这项研究的目的是在针对实时超声成像应用的可重构超声片上系统硬件平台上实现基于离散小波变换(DWT)的超声3D数据压缩算法。可重新配置的平台允许分析多种体系结构以适合各种应用。该算法被实现为仅硬件设计和硬件-软件协同设计。两种实现方式均提供了约98%的高信号压缩率,并具有良好的信号重建质量。这项研究表明,对于纯硬件设计,将33 MB的实验超声3D数据压缩为0.4 MB,仅需要四分之一秒的时间,而对于硬件-软件协同设计只需要1分钟的时间,这使得这两种设计都非常适合于实时性。超声成像应用。

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