动态对比增强磁共振成像中补偿流入和部分容积的动脉输入功能估算。

IF 2.7 4区 医学 Q2 BIOPHYSICS
NMR in Biomedicine Pub Date : 2024-12-01 Epub Date: 2024-08-06 DOI:10.1002/nbm.5225
Chih-Hsien Tseng, Martijn A Nagtegaal, Matthias J P van Osch, Jaap Jaspers, Alejandra Mendez Romero, Piotr Wielopolski, Marion Smits, Frans M Vos
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引用次数: 0

摘要

在动态对比增强(DCE)磁共振成像中测量动脉输入功能(AIF)时,流入和部分容积效应(PVE)都是误差来源。这一点很重要,因为 AIF 的误差会传播到 DCE 数据的药代动力学参数估计中。我们引入了一种方法,通过估计和补偿流入过程中感知到的自旋脉冲数来进行血流校正。我们假设 PVE 对浓度-时间曲线的影响与流入相似。因此,我们旨在研究这种方法同时补偿两种效应的效率。我们首先模拟了不同流入量和 PVE 污染水平的 AIF。将重建的 AIF 的峰值、半最大值全宽(FWHM)和曲线下面积(AUC)与真实(模拟)的 AIF 进行比较。在临床数据中,通过对动脉中人工选定点周围体素的信号进行平均,人为地在 AIF 中加入了 PVE。随后,对人工部分容积 AIF 进行校正,并与所选点的 AIF 进行比较。此外,我们还比较了颈内动脉(ICA)、大脑中动脉(MCA)和上矢状窦(SSS)估测的静脉输出功能(VOF)的校正 AIF。因此,我们的目的是研究在临床数据中不同流入量和 PVE 水平下校正方法的有效性。模拟数据表明,校正后的 AIF 在峰值、FWHM 和 AUC 方面仅存在微小偏差。此外,该算法还能在临床数据中选定的动脉点周围越来越大的邻域内生成高度相关的重建曲线。此外,通过 ICA 和 MCA 测量的 AIF 具有相似的峰高和 FWHM,而与 VOF 相比,AIF 的峰值明显更大,FWHM 更小。我们的研究结果表明,所提出的方法在同时补偿 PVE 和流入量方面具有很大的潜力。因此,校正后的 AIF 可为 DCE 分析提供稳定的输入源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Arterial input function estimation compensating for inflow and partial voluming in dynamic contrast-enhanced MRI.

Both inflow and the partial volume effect (PVE) are sources of error when measuring the arterial input function (AIF) in dynamic contrast-enhanced (DCE) MRI. This is relevant, as errors in the AIF can propagate into pharmacokinetic parameter estimations from the DCE data. A method was introduced for flow correction by estimating and compensating the number of the perceived pulse of spins during inflow. We hypothesized that the PVE has an impact on concentration-time curves similar to inflow. Therefore, we aimed to study the efficiency of this method to compensate for both effects simultaneously. We first simulated an AIF with different levels of inflow and PVE contamination. The peak, full width at half-maximum (FWHM), and area under curve (AUC) of the reconstructed AIFs were compared with the true (simulated) AIF. In clinical data, the PVE was included in AIFs artificially by averaging the signal in voxels surrounding a manually selected point in an artery. Subsequently, the artificial partial volume AIFs were corrected and compared with the AIF from the selected point. Additionally, corrected AIFs from the internal carotid artery (ICA), the middle cerebral artery (MCA), and the venous output function (VOF) estimated from the superior sagittal sinus (SSS) were compared. As such, we aimed to investigate the effectiveness of the correction method with different levels of inflow and PVE in clinical data. The simulation data demonstrated that the corrected AIFs had only marginal bias in peak value, FWHM, and AUC. Also, the algorithm yielded highly correlated reconstructed curves over increasingly larger neighbourhoods surrounding selected arterial points in clinical data. Furthermore, AIFs measured from the ICA and MCA produced similar peak height and FWHM, whereas a significantly larger peak and lower FWHM was found compared with the VOF. Our findings indicate that the proposed method has high potential to compensate for PVE and inflow simultaneously. The corrected AIFs could thereby provide a stable input source for DCE analysis.

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来源期刊
NMR in Biomedicine
NMR in Biomedicine 医学-光谱学
CiteScore
6.00
自引率
10.30%
发文量
209
审稿时长
3-8 weeks
期刊介绍: NMR in Biomedicine is a journal devoted to the publication of original full-length papers, rapid communications and review articles describing the development of magnetic resonance spectroscopy or imaging methods or their use to investigate physiological, biochemical, biophysical or medical problems. Topics for submitted papers should be in one of the following general categories: (a) development of methods and instrumentation for MR of biological systems; (b) studies of normal or diseased organs, tissues or cells; (c) diagnosis or treatment of disease. Reports may cover work on patients or healthy human subjects, in vivo animal experiments, studies of isolated organs or cultured cells, analysis of tissue extracts, NMR theory, experimental techniques, or instrumentation.
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