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Data-driven respiratory motion tracking and compensation in CZT cameras: A comprehensive analysis of phantom and human images

  • Original Article
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Journal of Nuclear Cardiology Aims and scope

Abstract

Background

This study described a method for tracking and compensating respiratory motion in cadmium-zinc-telluride (CZT) cameras. We evaluated motion effects on myocardial perfusion imaging and assessed the usefulness of motion compensation in phantom and clinical studies.

Methods

SPECT studies were obtained from an oscillating heart phantom and 552 patients using CZT cameras with list-mode acquisition. Images were reformatted in 500-ms frames, and the activity centroid was calculated as respiratory signal. The myocardial perfusion, left ventricular (LV) wall thickness, and LV volume were assessed before and after the motion compensation technique.

Results

In phantom studies, we documented only minimal bias between simulated and measured shifts. Significantly reduced tracer activity, increased wall thickness and decreased volume in scans with 15 mm or more axial shifts were noted. In clinical studies, there was a higher prevalence of significant motion after treadmill exercise. The motion compensation technique could successfully compensate those motion artifacts.

Conclusion

The described method allows for tracking and compensating respiratory motion in CZT cameras. Significant respiratory motion is still not uncommon using CZT cameras, especially in patients who underwent treadmill tests. Motion blurring can be compensated using image processing techniques and image quality could be significantly improved.

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Acknowledgments

This study was partially supported by Grants NSC 100-2314-B-002-158 and NSC 101-2314-B-002-151-MY3 from National Science Council of Taiwan.

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Authors and Affiliations

  1. Department of Nuclear Medicine, National Taiwan University Hospital Yun-Lin Branch, No. 579, Sec. 2, Yunlin Rd., Douliou City, 640, Yunlin County, Taiwan

    Chi-Lun Ko MD

  2. Department of Nuclear Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan

    Chi-Lun Ko MD, Yen-Wen Wu MD, PhD, Mei-Fang Cheng MD, Ruoh-Fang Yen MD, PhD & Kai-Yuan Tzen MD

  3. Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan

    Yen-Wen Wu MD, PhD

  4. Department of Nuclear Medicine and Cardiology Division of Cardiovascular Medical Center, Far Eastern Memorial Hospital, No.21, Sec.2, Nanya S. Rd., Banciao Dist., New Taipei City, 220, Taiwan

    Yen-Wen Wu MD, PhD

  5. National Yang-Ming University School of Medicine, Taipei, Taiwan

    Yen-Wen Wu MD, PhD

  6. Graduate Institute of Oncology, National Taiwan University, Taipei, Taiwan

    Wen-Chau Wu PhD

Authors
  1. Chi-Lun Ko MD
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Correspondence to Yen-Wen Wu MD, PhD.

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Ko, CL., Wu, YW., Cheng, MF. et al. Data-driven respiratory motion tracking and compensation in CZT cameras: A comprehensive analysis of phantom and human images. J. Nucl. Cardiol. 22, 308–318 (2015). https://doi.org/10.1007/s12350-014-9963-8

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  • DOI: https://doi.org/10.1007/s12350-014-9963-8

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