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MIRD Pamphlet No. 32 : A MIRD Recovery Coefficient Model for Resolution Characterization and Shape-Specific Partial-Volume Correction

Marquisí, Harry ; Schmidtlein, C. Ross ; de Nijs, Robin ; Gabiña, Pablo Mnguez ; Gustafsson, Johan LU orcid ; Kayal, Gunjan ; Ocampo Ramos, Juan C. ; Carter, Lukas M. ; Bailey, Dale L. and Kesner, Adam L. (2025) In Journal of Nuclear Medicine 66(3). p.457-465
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... (More)

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.

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author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
dosimetry, partial-volume correction, partial-volume effect, PET, recovery coefficient, resolution characterization, SPECT
in
Journal of Nuclear Medicine
volume
66
issue
3
pages
9 pages
publisher
Society of Nuclear Medicine Inc.
external identifiers
  • scopus:86000161559
  • pmid:39884774
ISSN
0161-5505
DOI
10.2967/jnumed.124.268520
language
English
LU publication?
yes
id
c61197bf-abff-4282-afc9-9104ca0b56c3
date added to LUP
2025-06-19 10:58:42
date last changed
2025-07-03 13:14:11
@article{c61197bf-abff-4282-afc9-9104ca0b56c3,
  abstract     = {{<p>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 (&gt;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.</p>}},
  author       = {{Marquisí, Harry and Schmidtlein, C. Ross and de Nijs, Robin and Gabiña, Pablo Mnguez and Gustafsson, Johan and Kayal, Gunjan and Ocampo Ramos, Juan C. and Carter, Lukas M. and Bailey, Dale L. and Kesner, Adam L.}},
  issn         = {{0161-5505}},
  keywords     = {{dosimetry; partial-volume correction; partial-volume effect; PET; recovery coefficient; resolution characterization; SPECT}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{457--465}},
  publisher    = {{Society of Nuclear Medicine Inc.}},
  series       = {{Journal of Nuclear Medicine}},
  title        = {{MIRD Pamphlet No. 32 : A MIRD Recovery Coefficient Model for Resolution Characterization and Shape-Specific Partial-Volume Correction}},
  url          = {{http://dx.doi.org/10.2967/jnumed.124.268520}},
  doi          = {{10.2967/jnumed.124.268520}},
  volume       = {{66}},
  year         = {{2025}},
}