MIRD pamphlet no. 32: A MIRD recovery coefficient model for resolution characterization and shape-specific partial-volume correction Journal Article

   


Authors: Marquis, H.; Schmidtlein, C. R.; de Nijs, R.; Gabiña, P. M.; Gustafsson, J.; Kayal, G.; Ocampo Ramos, J. C.; Carter, L. M.; Bailey, D. L.; Kesner, A. L.
Article Title: MIRD pamphlet no. 32: A MIRD recovery coefficient model for resolution characterization and shape-specific partial-volume correction
Abstract: Accurate quantification in emission tomography is essential for internal radiopharmaceutical therapy dosimetry. Mean activity concentration measurements in objects with diameters less than 10 times the full width at half maximum of the imaging system’s spatial resolution are significantly affected (>10%) by the partial-volume effect. This study develops a framework for PET and SPECT spatial resolution characterization and proposes 2 MIRD recovery coefficient models—a geometric mean approximation (RECOVER-GM) and an empirical model (RECOVER-EM)—that provide shape-specific partial-volume correction (PVC). The models were validated using simulations and phantom experiments, with a comparative PVC test on ellipsoidal phantoms demonstrating that the RECOVER models significantly reduced error in activity quantification by factors of approximately 1.3–5.7 compared with conventional sphere-based corrections. The proposed recovery coefficient models and PVC methodology provide a robust framework for improved region-based PVC, including corrections for nonspherical tumor volumes. This work is part of the ongoing MIRDsoft.org project that aims to enhance accessibility to advanced dosimetry tools for improved disease characterization, treatment planning, and radiopharmaceutical therapy dosimetry. COPYRIGHT © 2025 by the Society of Nuclear Medicine and Molecular Imaging.
Keywords: treatment planning; positron emission tomography; analysis; computer assisted tomography; tumor volume; algorithms; simulation; algorithm; dosimetry; geometry; positron-emission tomography; computer simulation; phantoms, imaging; image processing, computer-assisted; image processing; pet; image reconstruction; photon emission tomography; tomography, emission-computed, single-photon; spect; single photon emission computed tomography; procedures; lutetium 177; imaging phantom; humans; human; article; assessment of humans; partial-volume correction; partial-volume effect; recovery coefficient; resolution characterization; medical internal radiation dose recovery coefficient; partial volume (imaging); radiopharmaceutical therapy dosimetry; shape specific partial volume correction
Journal Title: Journal of Nuclear Medicine
Volume: 66
Issue: 3
ISSN: 0161-5505
Publisher: Society of Nuclear Medicine  
Date Published: 2025-03-01
Start Page: 457
End Page: 465
Language: English
DOI: 10.2967/jnumed.124.268520
PUBMED: 39884774
PROVIDER: scopus
PMCID: PMC11876732
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000161559&doi=10.2967%2fjnumed.124.268520&partnerID=40&md5=f2588a05d3199cffc8abd2be986e408b
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PDF. Corresponding MSK author is Harry Marquis -- Source: Scopus
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MSK Authors
  1. Charles Ross Schmidtlein
    107 Schmidtlein
  2. Adam Leon Kesner
    68 Kesner
  3. Lukas M Carter
    79 Carter
  4. Juan Camilo Ocampo Ramos
    27 Ocampo Ramos
  5. Harry Marquis
    17 Marquis
  6. Gunjan Kayal
    2 Kayal
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