A Motion Tracking Method That Applies a Spread Spectrum Communication Technique to Tagging MR Imaging

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Author(s)

    • KOMORI Yoshiaki
    • Biomedical Engineering Lab, Department of Systems Science, Graduate School of Informatics, Kyoto University|Research and Collaboration Department, Imaging and Therapy Systems Division, Siemens Japan K.K.
    • AMANO Akira
    • Department of Bioinformatics, College of Life Science, Ritsumeikan University
    • MAEHARA Keiko
    • Biomedical Engineering Lab, Department of Systems Science, Graduate School of Informatics, Kyoto University
    • JIN Li
    • Biomedical Engineering Lab, Department of Systems Science, Graduate School of Informatics, Kyoto University
    • NARAZAKI Michiko
    • Biomedical Engineering Lab, Department of Systems Science, Graduate School of Informatics, Kyoto University
    • MATSUDA Tetsuya
    • Biomedical Engineering Lab, Department of Systems Science, Graduate School of Informatics, Kyoto University

Abstract

Purpose: We propose a new motion tracking method that encodes an object's position information using tagging magnetic resonance (MR) images as digital codes, and we assess the method's feasibility in stationary and moving phantoms. The encoding and decoding of tag patterns employ principles of spread spectrum communication.<br/>Methods: We used a segmented fast low angle shot cine sequence (FLASH) with spatial modulation of magnetization (SPAMM) preparation pulses to encode position information as 7-bit code words and used this spread code to decode the position information. To make 7-bit code words using tag images, we adjusted the flip angle and phase of the 4 composite radiofrequency (RF) pulses and the gradient magnetic field strength in the SPAMM pulse to generate 7 types of tag patterns. The proposed method required 7 acquisitions with 7 types of tag patterns. We compared results with images obtained by conventional tagging in stationary and moving phantom experiments.<br/>Results: In a stationary phantom, the proposed method showed the same ability to identify pixel position as conventional tagging method using improved SNR images with the average of 7 acquisitions. In a moving phantom, pixel position was successfully decoded by the proposed method on a pixel-by-pixel basis. In this method, the motion of the phantom was detected by the simple calculation of the correlation coefficient of the code words.<br/>Conclusion: We introduced a spread spectrum communication technique to tagging MR imaging that regards tag patterns as digital codes, and we demonstrated the method's potential to detect pixel position in sub-pixel resolution.

Journal

  • Magnetic Resonance in Medical Sciences

    Magnetic Resonance in Medical Sciences 14(1), 25-34, 2015

    Japanese Society for Magnetic Resonance in Medicine

Codes

  • NII Article ID (NAID)
    130004700393
  • Text Lang
    ENG
  • ISSN
    1347-3182
  • Data Source
    J-STAGE 
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