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Collimatorless Scintigraphy for Imaging Extremely Low Activity Targeted Alpha Therapy (TAT) with Weighted Robust Least Squares (WRLS)

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 (MICCAI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12267))

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Abstract

A technology for imaging extremely low photon flux is an unmet need, especially in targeted alpha therapy (TAT) imaging, which requires significantly improved sensitivity to detect as many photons as possible while retaining a reasonable spatial resolution. In scintigraphy using gamma cameras, the radionuclide collimator rejects a large number of photons that are both primary photons and scattered photons, unsuitable for photon-starved imaging scenarios like imaging TAT. In this paper we develop a min-min weighted robust least squares (WRLS) algorithm to solve a general reconstruction problem with uncertainties and validate it with the extreme scenario: collimatorless scintigraphy. Ra-223, a therapeutic alpha emitting radionuclide whose decay chain includes x-ray and gamma-ray photons, is selected for an exploratory study. Full Monte Carlo simulations are performed using Geant4 to obtain realistic projection data with collimatorless scintigraphy geometry. The results show that our proposed min-min WRLS algorithm could successfully reconstruct point sources and extended sources in the collimatorless scintigraphy with a resolution close to its system resolution and figures of merit (FOM) better than the collimator-based scintigraphy for extremely low activity TAT. This approach could be expanded as a 3D algorithm, which could lead to 3D collimatorless SPECT.

Supported by National Institute of Biomedical Imaging and Bioengineering Grant R01EB026331.

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Authors and Affiliations

  1. Department of Radiology and Biomedical Imaging, University of California, 94143, San Francisco, CA, USA

    Yifan Zheng, Yoonsuk Huh & Youngho Seo

  2. Department of Nuclear Engineering, University of California, 94720, Berkeley, CA, USA

    Yifan Zheng & Kai Vetter

  3. Department of Electrical Engineering, University of California, 90055, Los Angeles, CA, USA

    Qianqian Su

  4. Department of Mathematics, University of California, 94720, Berkeley, CA, USA

    Jiaming Wang

  5. Department of Civil and Environmental Engineering, University of California, 94720, Berkeley, CA, USA

    Yunduan Lin

Authors
  1. Yifan Zheng
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  2. Yoonsuk Huh
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  3. Qianqian Su
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  4. Jiaming Wang
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  5. Yunduan Lin
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  6. Kai Vetter
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  7. Youngho Seo
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Corresponding author

Correspondence to Yifan Zheng .

Editor information

Editors and Affiliations

  1. University of Toronto, Toronto, ON, Canada

    Anne L. Martel

  2. The University of British Columbia, Vancouver, BC, Canada

    Purang Abolmaesumi

  3. University College London, London, UK

    Danail Stoyanov

  4. École Centrale de Nantes, Nantes, France

    Diana Mateus

  5. EURECOM, Biot, France

    Maria A. Zuluaga

  6. Chinese Academy of Sciences, Beijing, China

    S. Kevin Zhou

  7. Sorbonne University, Paris, France

    Daniel Racoceanu

  8. The Hebrew University of Jerusalem, Jerusalem, Israel

    Leo Joskowicz

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Zheng, Y. et al. (2020). Collimatorless Scintigraphy for Imaging Extremely Low Activity Targeted Alpha Therapy (TAT) with Weighted Robust Least Squares (WRLS). In: Martel, A.L., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. MICCAI 2020. Lecture Notes in Computer Science(), vol 12267. Springer, Cham. https://doi.org/10.1007/978-3-030-59728-3_78

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  • DOI: https://doi.org/10.1007/978-3-030-59728-3_78

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59727-6

  • Online ISBN: 978-3-030-59728-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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