JRM Vol.30 No.4 pp. 650-659
doi: 10.20965/jrm.2018.p0650


Development of the MRI Flow Phantom System Focused on Low Speed Flows in Fluid Machinery

Kazunori Hosotani*1, Shota Uehara*1, Toru Ishihara*1, Atsushi Ono*2, Kazuhiro Takeuchi*3, and Yusuke Hashiguchi*4

*1National Institute of Technology, Tsuyama College
624-1 Numa, Tsuyama-shi, Okayama 708-8509, Japan

*2Kawasaki University of Medical Welfare
288 Matsushima, Kurashiki-shi, Okayama 701-0193, Japan

*3National Hospital Organization, Okayama Medical Center
1711-1 Tamasu, Kita-ku, Okayama-shi, Okayama 701-1192, Japan

*4Kousei Hospital
3-8-35 Kousei-cho, Kita-ku, Okayama-shi, Okayama 700-0985, Japan

February 14, 2018
May 3, 2018
August 20, 2018
MRI, flow visualization, flow phantom, fluid machinery, time-spatial labeling inversion pulse

At present, magnetic resonance imaging (MRI), which is one of the noninvasive diagnostic imaging techniques for medical use, has been applied to industrial product inspection. In this study, a hydraulic model test system, called the “flow phantom system,” which can generate steady flow and oscillating flow for time-resolved MRI, was developed to aid optimum design of fluid machinery. Simple flow phantoms are tested under laminar flow or oscillating flow to evaluate the validity and effectiveness of the proposed system. In this article, the test results of double cylindrical pipe flow, elbow pipe flow, cylindrical valve flow, and jet pump flow, which are often seen in fluid machines, are tested using the 2D time-spatial labeling inversion pulse (Time-SLIP) method, which can track a labeled water mass and visualize it using two-dimensional images. MRI-detected flow patterns were compared with particle image velocimetry (PIV) or numerical simulation.

Conceptual diagram of the flow phantom system

Conceptual diagram of the flow phantom system

Cite this article as:
K. Hosotani, S. Uehara, T. Ishihara, A. Ono, K. Takeuchi, and Y. Hashiguchi, “Development of the MRI Flow Phantom System Focused on Low Speed Flows in Fluid Machinery,” J. Robot. Mechatron., Vol.30 No.4, pp. 650-659, 2018.
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