PerfTool：一个用于研究团注追踪灌注成像定量策略的软件平台。

PerfTool: a software platform for investigating bolus-tracking perfusion imaging quantification strategies.

作者信息

Kosior Jayme C, Frayne Richard

机构信息

Department of Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada.

出版信息

J Magn Reson Imaging. 2007 Mar;25(3):653-9. doi: 10.1002/jmri.20843.

DOI:10.1002/jmri.20843

PMID:17326077

Abstract

PURPOSE

To develop a software platform, PerfTool (for perfusion tool), for the comprehensive evaluation of bolus-tracking quantitative perfusion imaging methods and algorithms, along with a method to rapidly visualize and evaluate the performance of algorithms.

MATERIALS AND METHODS

Algorithms were evaluated interactively with PerfTool using synthetic DeltaR2* data sets with different perfusion parameter permutations (known as test patterns). Patient data and test patterns were used to evaluate a standard singular value deconvolution (SVD) approach (sSVD) and a reformulated implementation (rSVD) that is insensitive to arterial-tissue delay (ATD), and to explore the effect of the SVD regularization parameter (p(SVD)) on CBF estimates.

RESULTS

The CBF overestimation resulting from sensitivity to ATD in sSVD compared to rSVD was demonstrated with the patient data, and the effect was confirmed using a test pattern. The same test pattern demonstrated the CBF underestimation resulting from high p(SVD) thresholds.

CONCLUSION

PerfTool is an extensible software tool that allows perfusion measurements to be obtained by different methods, and is flexible enough to incorporate new developments and apply them to real patient data and test patterns.

摘要

目的

开发一个软件平台PerfTool（用于灌注工具），用于综合评估团注追踪定量灌注成像方法和算法，以及一种快速可视化和评估算法性能的方法。

材料与方法

使用具有不同灌注参数排列的合成DeltaR2*数据集（称为测试模式），通过PerfTool交互式评估算法。使用患者数据和测试模式评估标准奇异值反卷积（SVD）方法（sSVD）和对动脉-组织延迟（ATD）不敏感的重新制定的实现方法（rSVD），并探讨SVD正则化参数（p(SVD)）对脑血流量（CBF）估计值的影响。