Name
Abstract | ||
|---|---|---|
Scan conversion is an important ultrasonic processing stage that maps the acquired polar coordinate data to Cartesian coordinates for display. This requires computationally expensive square root and arctangent calculations for geometric transformation. Previously, we developed an algorithm for implementing scan conversion for gray-scale images using precomputed lookup tables. In a clinical setting, however, interactive changes of scan conversion parameters, e.g., zoom and sector angle, require these tables to be recomputed often. In this paper, we describe a fast lookup table generation algorithm and its implementation on Hitachi/Equator's MAP-CA mediaprocessor architecture. In addition, we have extended the grayscale scan conversion algorithm for color images, which requires interpolation between angular data. For a 600x420 output image, gray-scale scan conversion takes 12 ms while color scan conversion takes 20.3 ms on a 300 MHz MAP-CA. Interactive parameter changes take 102.5 ms for table regeneration. We believe that this high performance is an important step towards malting software-based ultrasound programmable systems using mediaprocessors a reality. Such a system would provide more flexibility and improved cost/performance in the future than the existing hardwired solutions. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1117/12.428117 | Proceedings of SPIE |
Keywords | Field | DocType |
programmable ultrasound systems,mediaprocessors,scan conversion,fast lookup table generation,fixed-point square root and arctangent computation,partitioned CORDIC,guided DMA | Media processor,Lookup table,Computer vision,Scan conversion,Computer science,Interpolation,Scan chain,Zoom,Geometric transformation,Software,Artificial intelligence,Computer hardware | Conference |
Volume | ISSN | Citations |
4319 | 0277-786X | 2 |
PageRank | References | Authors |
0.53 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siddhartha Sikdar | 1 | 37 | 6.81 |
| Ravi Managuli | 2 | 59 | 8.87 |
| Tsuyoshi Mitake | 3 | 10 | 2.06 |
| Tetsuya Hayashi | 4 | 16 | 4.52 |
| Yongmin Kim | 5 | 912 | 122.36 |