Korte James C, Chin Zachary, Carr Madeline, Holloway Lois, Franich Rick
Peter MacCallum Cancer Centre, Department of Physical Sciences, Melbourne, Australia.
The University of Melbourne, Department of Biomedical Engineering, Melbourne, Australia.
Phys Med Biol. 2023 Mar 10;68(6). doi: 10.1088/1361-6560/acbcbb.
To provide an open-source software for repeatable and efficient quantification ofandrelaxation times with the ISMRM/NIST system phantom. Quantitative magnetic resonance imaging (qMRI) biomarkers have the potential to improve disease detection, staging and monitoring of treatment response. Reference objects, such as the system phantom, play a major role in translating qMRI methods into the clinic. The currently available open-source software for ISMRM/NIST system phantom analysis, Phantom Viewer (PV), includes manual steps that are subject to variability.We developed the Magnetic Resonance BIomarker Assessment Software (MR-BIAS) to automatically extract system phantom relaxation times. The inter-observer variability (IOV) and time efficiency of MR-BIAS and PV was observed in six volunteers analysing three phantom datasets. The IOV was measured with the coefficient of variation (CV) of percent bias (%bias) inandwith respect to NMR reference values. The accuracy of MR-BIAS was compared to a custom script from a published study of twelve phantom datasets. This included comparison of overall bias and %bias for variable inversion recovery (), variable flip angle () and multiple spin-echo () relaxation models.MR-BIAS had a lower mean CV with(0.03%) and(0.05%) in comparison to PV with(1.28%) and(4.55%). The mean analysis duration was 9.7 times faster for MR-BIAS (0.8 min) than PV (7.6 min). There was no statistically significant difference in the overall bias, or the %bias for the majority of ROIs, as calculated by MR-BIAS or the custom script for all models.MR-BIAS has demonstrated repeatable and efficient analysis of the ISMRM/NIST system phantom, with comparable accuracy to previous studies. The software is freely available to the MRI community, providing a framework to automate required analysis tasks, with the flexibility to explore open questions and accelerate biomarker research.
为使用ISMRM/NIST系统体模提供用于可重复且高效地定量T1和T2弛豫时间的开源软件。定量磁共振成像(qMRI)生物标志物有改善疾病检测、分期以及监测治疗反应的潜力。参考物体,如系统体模,在将qMRI方法转化到临床中发挥着重要作用。目前可用的用于ISMRM/NIST系统体模分析的开源软件Phantom Viewer(PV)包含易产生变异性的手动步骤。我们开发了磁共振生物标志物评估软件(MR-BIAS)以自动提取系统体模的弛豫时间。在六名分析三个体模数据集的志愿者中观察了MR-BIAS和PV的观察者间变异性(IOV)和时间效率。通过相对于NMR参考值的偏差百分比(%偏差)的变异系数(CV)来测量IOV。将MR-BIAS的准确性与来自一项关于十二个体模数据集的已发表研究的自定义脚本进行比较。这包括对可变反转恢复()、可变翻转角()和多自旋回波()弛豫模型的总体偏差和%偏差的比较。与PV的(1.28%)和(4.55%)相比,MR-BIAS在(0.03%)和(0.05%)时具有更低的平均CV。MR-BIAS的平均分析持续时间(0.8分钟)比PV(7.6分钟)快9.7倍。对于所有模型,由MR-BIAS或自定义脚本计算的总体偏差或大多数感兴趣区域的%偏差没有统计学上的显著差异。MR-BIAS已证明对ISMRM/NIST系统体模具有可重复且高效的分析,其准确性与先前研究相当。该软件可供MRI社区免费使用,提供了一个框架来自动化所需的分析任务,具有探索开放性问题和加速生物标志物研究的灵活性。