MIRD Pamphlet No. 33: MIRDpvc-A Software Tool for Recovery Coefficient-Based Partial-Volume Correction.

IF 9.1
Harry Marquis, Johan Gustafsson, C Ross Schmidtlein, Robin de Nijs, Pablo Mínguez Gabiña, Gunjan Kayal, Juan C Ocampo Ramos, Lukas M Carter, Dale L Bailey, Adam L Kesner
{"title":"MIRD Pamphlet No. 33: MIRDpvc-A Software Tool for Recovery Coefficient-Based Partial-Volume Correction.","authors":"Harry Marquis, Johan Gustafsson, C Ross Schmidtlein, Robin de Nijs, Pablo Mínguez Gabiña, Gunjan Kayal, Juan C Ocampo Ramos, Lukas M Carter, Dale L Bailey, Adam L Kesner","doi":"10.2967/jnumed.125.270168","DOIUrl":null,"url":null,"abstract":"<p><p>Partial-volume effects (PVEs) arise from the limited spatial resolution of PET and SPECT imaging systems, causing the systematic underestimation of activity concentration in structures that may hold critical diagnostic, treatment, or dosimetric information that impacts patient management. Recovery coefficient (RC)-based partial-volume correction (PVC) is one of the simpler approaches used to correct for partial-volume losses impacting image-based activity estimates in quantitative nuclear medicine. Despite its routine application, RC PVC lacks standardization, underscoring the need for a validated and vetted tool to facilitate consistent use across the community. As part of the MIRDsoft community dosimetry tools project, we have developed MIRDpvc-a worksheet that facilitates a resolution-based RC PVC approach that enables shape-specific corrections, alongside conventional RC curve corrections. In this work, we describe the MIRDpvc software and validate the new PVC methodology using various simulated studies. The recovery coefficient equivalent resolution-geometric mean (RECOVER-GM) model implemented in MIRDpvc represents a straightforward and effective improvement in the quantitative accuracy of mean activity concentrations within volumes of interest in PET and SPECT images, accounting for both spill-out and spill-in PVEs and incorporating shape-specific corrections. The simplicity and accessibility of the software make it practical for clinical implementation, providing a significant improvement over methods that rely on spherical assumptions. The RECOVER-GM method incorporates lesion geometry while maintaining computational efficiency, highlighting its practical advantages for PVC in PET and SPECT imaging.</p>","PeriodicalId":94099,"journal":{"name":"Journal of nuclear medicine : official publication, Society of Nuclear Medicine","volume":" ","pages":""},"PeriodicalIF":9.1000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of nuclear medicine : official publication, Society of Nuclear Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2967/jnumed.125.270168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Partial-volume effects (PVEs) arise from the limited spatial resolution of PET and SPECT imaging systems, causing the systematic underestimation of activity concentration in structures that may hold critical diagnostic, treatment, or dosimetric information that impacts patient management. Recovery coefficient (RC)-based partial-volume correction (PVC) is one of the simpler approaches used to correct for partial-volume losses impacting image-based activity estimates in quantitative nuclear medicine. Despite its routine application, RC PVC lacks standardization, underscoring the need for a validated and vetted tool to facilitate consistent use across the community. As part of the MIRDsoft community dosimetry tools project, we have developed MIRDpvc-a worksheet that facilitates a resolution-based RC PVC approach that enables shape-specific corrections, alongside conventional RC curve corrections. In this work, we describe the MIRDpvc software and validate the new PVC methodology using various simulated studies. The recovery coefficient equivalent resolution-geometric mean (RECOVER-GM) model implemented in MIRDpvc represents a straightforward and effective improvement in the quantitative accuracy of mean activity concentrations within volumes of interest in PET and SPECT images, accounting for both spill-out and spill-in PVEs and incorporating shape-specific corrections. The simplicity and accessibility of the software make it practical for clinical implementation, providing a significant improvement over methods that rely on spherical assumptions. The RECOVER-GM method incorporates lesion geometry while maintaining computational efficiency, highlighting its practical advantages for PVC in PET and SPECT imaging.

MIRD小册子第33号:基于恢复系数的部分体积校正的MIRDpvc-A软件工具。
部分体积效应(pve)源于PET和SPECT成像系统有限的空间分辨率,导致系统地低估了结构中的活性浓度,这些结构可能包含影响患者管理的关键诊断、治疗或剂量学信息。基于恢复系数(RC)的部分体积校正(PVC)是定量核医学中用于校正影响基于图像的活度估计的部分体积损失的较简单的方法之一。尽管其常规应用,但RC PVC缺乏标准化,强调需要一个经过验证和审查的工具来促进整个社区的一致使用。作为MIRDsoft社区剂量测量工具项目的一部分,我们开发了mirdpvc -一个工作表,它促进了基于分辨率的RC PVC方法,可以实现形状特定的校正,以及传统的RC曲线校正。在这项工作中,我们描述了MIRDpvc软件,并使用各种模拟研究验证了新的PVC方法。在MIRDpvc中实现的恢复系数等效分辨率-几何平均(recovery - gm)模型代表了PET和SPECT图像中感兴趣体积内平均活性浓度定量准确性的直接有效改进,考虑了溢出和溢出pve,并结合了形状特定校正。该软件的简单性和可访问性使其适用于临床实施,比依赖球形假设的方法有了重大改进。recovery - gm方法在保持计算效率的同时结合了病变几何,突出了其在PET和SPECT成像中的PVC的实用优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信