JRM Vol.24 No.5 pp. 773-781
doi: 10.20965/jrm.2012.p0773


A Blood Flow Measurement Robotic System: Ultrasound Visual Servoing Algorithms Under Pulsation and Displacement of an Artery

Keiichiro Ito, Tomofumi Asayama, Hiroyasu Iwata,
and Shigeki Sugano

Department of Creative Science and Engineering, School of Modern Mechanical Engineering, Waseda University, 17 Kikui-cho, Shinjuku-ku, Tokyo 162-0044, Japan

February 16, 2012
July 4, 2012
October 20, 2012
medical robotics, visual servoing algorithm, ultrasound system, blood flow measurement

The purpose of this paper is to propose blood flow measurement algorithms during nonperiodic displacement of an artery by controlling an ultrasound (US) probe. Detecting the position and speed of the bleeding source is required as the first step in treating internal bleeding in emergency medicine. Current methods for detecting a bleeding source, however, involve an invasive approach and cannot quantitatively estimate bleeding speed. Current emergencymedical care therefore requires an alternative system for addressing these problems. In this study, we aim to develop a blood flow measurement system for detecting a bleeding source by using a noninvasive modality, such as a US imaging device. Some problems related to the measurement error still need to be addressed before we can create this system. Specifically, blood flow measurement error in the abdominal area is typically large because the displacement of the artery is large and nonperiodic to adequately control the probe. As the first step in solving these problems, we focused on the displacement of the artery toward the out-ofplane state of the US image and developed measurement algorithms to control the probe, based on respiratory information, during artery displacement. We conducted experimentsmeasuring cross-sectional area and flow rate using an ultrasound phantom containing an artery model and a manipulator equipped with a US probe, BASIS-1. As of this writing, results represent the first experimental validation of the proposed algorithms.

Cite this article as:
Keiichiro Ito, Tomofumi Asayama, Hiroyasu Iwata, and
and Shigeki Sugano, “A Blood Flow Measurement Robotic System: Ultrasound Visual Servoing Algorithms Under Pulsation and Displacement of an Artery,” J. Robot. Mechatron., Vol.24, No.5, pp. 773-781, 2012.
Data files:
  1. [1] S. Iwai, “Japan advanced trauma evaluation and care guideline,” The Japanese association for the surgery of trauma, pp. 43-114, 2008.
  2. [2] W. S. Hoff, M. Holevar, and K. K. Nagy, “Practice management guidelines for the evaluation of blunt abdominal trauma: the East practice management guidelines work group,” J. of Trauma, pp. 602-615, 2002.
  3. [3] J. K. Willmann, “Multidetector CT: Detection of Active Hemorrhage in Patients with Blunt Abdominal Trauma,” American Roentgen Ray Society, pp. 437-444, 2002.
  4. [4] H. Scheffel, “Acute gastrointestinal bleeding: detection of source and etiology with multi-detector-row CT,” European Radiology, Vol.17, No.6, pp. 1555-1565, 2007.
  5. [5] J. Duchesne, “CT-Angiography for the Detection of a Lower Gastrointestinal Bleeding Source,” The American Surgeon, Vol.71, No.5, pp. 392-397, 2005.
  6. [6] C. J. Laing, “Acute Gastrointestinal Bleeding: Emerging Role of Multidetector CT Angiography and Review of Current Imaging Techniques,” Radio Graphics, pp. 1055-1070, 2007.
  7. [7] T. Jaeckle, “Evaluation of acute mesenteric ischemia: accuracy of biphasic mesenteric multi-detector CT angiography,” Abdominal Imaging, Vol.34, No.3, pp. 345-357, 2009.
  8. [8] F. H. Miller, “An initial experience: Using helical CT imaging to detect obscure gastrointestinal bleeding,” Clinical Imaging, Vol.28, Issue 4, pp. 245-251, 2004.
  9. [9] S. E. Mirvis, “Detection of bleeding in patients with major pelvic fractures: value of contrast-enhanced CT,” American J. of Roentgenology, Vol.166, pp. 131-135.
  10. [10] S. Vaezy, “Hemorrhage control using high intensity focused ultrasound,” Hyperthermia, pp. 1-9, 2007.
  11. [11] K. Ito et al., “Wearable Echography Robot for Trauma Patient,” Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 4794-4799, 2010.
  12. [12] K. Ito et al., “Development of Adaptable RT Echo-Device Detecting Bleeding Source: BASIS-1,” Society of System Integration, pp. 1153-1154, 2010.
  13. [13] R. Chan, “A Variational Energy Approach for Estimating Vascular Structure and Deformation B-mode Ultrasound Imagery,” Proc. of Int. Conf. on Image Processing, Vol.1, pp. 160-163, 2000.
  14. [14] A. Takemura, “Segmentation of Ultrasonic Images by Using Locally Adaptive Filter and Wavelet Analysis – Detection of Superficial Peripheral Vein by a High-Frequency Ultrasonic Equipment –,” J. of the institute of electronics, information and communication engineers, pp. 1452-1460, 2003.
  15. [15] H. K. Chang, “An Automatic Doppler Angle And Flow Velocity Measurement Method,” IEEE Ultrasonic Symposium, pp. 1579-1582, 1998.
  16. [16] K. Ito et al., “Blood Flow Measurement Algorithms to Detect Bleeding Source Noninvasively,” Proc. of Annual Int. IEEE Engineering in Medicine and Biology Society Conf., pp. 7437-7440, 2011.
  17. [17] K. Ito et al., “Measurement Algorithms of Cross-section Area and Blood Speed for Noninvasive Blood Flow Measurement System,” Proc. of IEEE Int. Conf. on Robotics and Biomimetics, pp. 263-268, 2011.
  18. [18] R. W. Gill, “Measurement of Blood Flow by Ultrasound: Accuracy and Sources of Error,” Ultrasound in Med. and Biol., No.4, pp. 625-641, 1985.
  19. [19] M. Fujii, “Noncontact Measurement of Internal Temperature Distribution using Ultrasonic Computed Tomography: The 2nd Report: Numerical Simulation and Experimental Measurement,” Institute of Advanced Material Study, pp. 131-139, 1994.
  20. [20] K. Hayashi et al., “Biomechanical Engineering: A First Course,” Japan Society of Mechanical Engineers, pp. 70-89, 1999.
  21. [21] M. Sugawara and N. Maeda, “Hemorheology and Blood Flow,” Japanese Society for Medical and Biological Engineering, pp. 68-103, 2010.

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