Name
Title | ||
|---|---|---|
Parallel image reconstruction in real-time ultrasound process tomography for two-phased flow measurements |
Abstract | ||
|---|---|---|
This paper investigates different parallel-processing architectures as a means of achieving real-time ultrasound tomographic imaging capability. The real-time numerical image reconstruction is implemented by a parallel processor network and DSP controlled data acquisition electronics. The parallel imaging technique developed for the present work has been shown to be capable of achieving the necessary real-time image generation rate (100 frames per second on a 100 × 100 image array for software image reconstruction) and an average update frequency of 30 frames per second when acquiring data from the hardware. The parallel image processing algorithm which combines geometric and algorithmic parallelism aiming at optimizing the parallel efficiency of the processors of the array has been implemented and verified. The experimental imaging results generated by the parallel imaging system are presented and the dynamic performance of the parallel system are discussed. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1006/rtim.1997.0082 | Real-Time Imaging |
Keywords | Field | DocType |
parallel image reconstruction,real-time ultrasound process tomography,two-phased flow measurement,data acquisition,ultrasound,parallel systems,image reconstruction,frames per second,real time,two phase flow,parallel processing | Iterative reconstruction,Process tomography,Computer vision,Tomographic reconstruction,Digital signal processing,Computer science,Data acquisition,Tomography,Software,Artificial intelligence,Frame rate | Journal |
Volume | Issue | ISSN |
3 | 4 | Real-Time Imaging |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Yang | 1 | 0 | 0.34 |
| H. I. Schlaberg | 2 | 0 | 0.34 |
| B. S. Hoyle | 3 | 12 | 2.12 |
| M. S. Beck | 4 | 0 | 0.34 |
| C. Lenn | 5 | 0 | 0.34 |