Journal of Medical Systems

, Volume 6, Issue 5, pp 459–472 | Cite as

Distributed processor for noninvasive blood flow analysis

  • M. S. Abdel-Azim
  • C. F. Hottinger


High-resolution ultrasound imaging of peripheral arteries offers a powerful technique for screening of potential stroke victims. However, the technique becomes inaccurate in cases of low-grade stenosis and the presence of noncalcified plaque. In these cases Doppler flow measurement can be used to augment the imaging system to arrive at a more accurate diagnosis. This paper describes a duplex system that combines high-resolution imaging with Doppler measurements. The various real-time processing and control tasks are implemented in a distributed processing system using three different processors. A high-speed digital signal processor (DSP) performs Fourier transforms on the Doppler-shifted signals and also performs some of the premultiplications required for Doppler parameter computations. A dedicated Doppler CPU receives the spectral coefficients from the DSP and computes several parameters such as gray-scale spectrogram coefficients, frequency centroids, spectral broadening coefficients, and velocity profiles. A third CPU is used to control the imaging system and to perform the housekeeping tasks such as control of the video display and the interface with the control panel.


Digital Signal Processor Doppler Flow Doppler Measurement Video Display Doppler Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Hass, W. K., et al., Joint study of extra-cranial arterial occlusion: II. Arteriography, techniques, sites and complications.J. Am. Med. Assoc. 203:961, 1968.Google Scholar
  2. 2.
    Thiele, B. L., et al., Distribution of intracranial and extracranial arterial lesions in patients with symptomatic cerebrovascular disease.Proceedings of the Symposium on Non-Invasive Diagnostic Techniques in Vascular Disease, San Diego, September 10–14, 1978, p. 18.Google Scholar
  3. 3.
    Gerzberg, L., Monolithic power-spectrum centroid detector, Ph.D. dissertation, Technical Report No. G557.2, Stanford University, May 1979.Google Scholar
  4. 4.
    Arts, A. G. J., and Roevors, J. M. J. G., On the instantaneous measurement of blood flow by ultrasonic means.Med. Biol. Eng. 10:23–34, 1972.Google Scholar
  5. 5.
    Lee, P. K., and Waag, R. C., Spectral analysis of pulsed ultrasound for blood flow measurement in the presence of noise.Proc. IEEE Ultrasonic Symp. 78CH:353–356, 1978.Google Scholar
  6. 6.
    Bendick, P. J., Glover, J. L., and Dilley, R. S., Spectral analysis of Doppler flowmeter signals in atherosclerotic disease.Proc. IEEE Ultrasonic Symp., pp.770–774, 1980.Google Scholar
  7. 7.
    Hoeks, A. P. G., Reneman, R. S., and Peronneau, P. A., A multigate pulsed Doppler system with serial data processing.IEEE Trans. Sonics Ultrasonics. SU-28(4):242–247, 1981.Google Scholar
  8. 8.
    Brandestini, M., Topoflow: A digital full range Doppler velocity meter.IEEE Trans. Sonics Ultrasonics SU-25(5):287–293, 1978.Google Scholar
  9. 9.
    Coghlan, B. A., and Taylor, M. G., Directional Doppler techniques for detection of blood flow velocities.Ultrasound Med. Biol. 2:181–188, 1976.Google Scholar
  10. 10.
    Skolnik, M. I.,Introduction to Radar Systems. McGraw-Hill, New York, 1980.Google Scholar

Copyright information

© Plenum Publishing Corporation 1982

Authors and Affiliations

  • M. S. Abdel-Azim
    • 1
  • C. F. Hottinger
    • 1
  1. 1.From the Technicare CorporationEnglewood

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