Mr. Siddhartha Sikdar Profile

Siddhartha Sikdar

at Univ of Washington

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Publications (3)

Proceedings Article | 17 May 2002 Paper

Scan conversion for a multiprocessor-based ultrasound processing system

Siddhartha Sikdar, Ravi Managuli, Yongmin Kim

Proceedings Volume 4681, (2002) https://doi.org/10.1117/12.466929

KEYWORDS: Ultrasonography, Data conversion, Data acquisition, Data processing, Algorithm development, Image processing, Associative arrays, Computing systems, Raster graphics, Imaging systems

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To meet the computational requirements of mid-range and high-end programmable ultrasound systems, multiple processors are currently required. Algorithms optimized specifically for a single processor-based system may not perform well in a multiprocessor environment. They need to be efficiently remapped on multiple processors to take advantage of the increased computing power while minimizing the interprocessor data transfer and the latency between data acquisition and display. In this paper, we describe a multiprocessor-based implementation of scan conversion, a key processing task in an ultrasound system that geometrically transforms the acquired polar ultrasound data to Cartesian coordinates for display. The single processor-based scan conversion algorithm that was reported previously uses inverse mapping for geometric transformation, where the pixel values in the Cartesian display are determined from data in the polar domain. Inverse mapping requires access to a full frame of pre-scan-converted ultrasound data, which in a multiprocessor system can be located across multiple processors, thus requiring a significant amount of interprocessor data communications. Our modified scan conversion algorithm reduces the data movement by performing inverse-mapped scan conversion locally on the polar-domain data present in each processor's memory. Each processor handles a smaller amount of data, thus reducing the latency. The raster pixels generated by each processor are combined later. Interprocessor synchronization is used to ensure that each processor displays data belonging to the same frame. Data overlapping between processors avoids boundary artifacts between regions that are processed on different processors. Using four Hitachi/Equator Technologies' 300-MHz MAP-CA processors, scan conversion requires 5.6 ms for a 600x420 RGB frame, as compared to 14.6 ms using a single processor, and the latency is reduced by 33.3%. We believe that this type of parallel algorithms will facilitate the development and deployment of flexible multiprocessor-based ultrasound and other medical imaging systems.

Proceedings Article | 28 May 2001 Paper

Programmable ultrasound scan conversion on a media-processor-based system

Siddhartha Sikdar, Ravi Managuli, Tsuyoshi Mitake, Tetsuya Hayashi, Yongmin Kim

Proceedings Volume 4319, (2001) https://doi.org/10.1117/12.428117

KEYWORDS: Ultrasonography, Image processing, Data conversion, Algorithm development, Transducers, Data processing, Computing systems, Data acquisition, Zoom lenses, Tissues

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Proceedings Article | 29 March 2001 Paper

Media processor programming interface to increase the portability of media processor software

Michael Grow, Siddhartha Sikdar, Donglok Kim, Yongmin Kim

Proceedings Volume 4313, (2001) https://doi.org/10.1117/12.420798

KEYWORDS: Software development, Computer programming, Computer architecture, Multimedia, Image processing, Associative arrays, Data processing, Digital signal processing, Data conversion, Binary data

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