Signal-to-noise ratio, contrast-to-noise ratio and pharmacokinetic modeling considerations in dynamic contrast-enhanced magnetic resonance imaging.
Signal-to-noise ratio, contrast-to-noise ratio and pharmacokinetic modeling considerations in dynamic contrast-enhanced magnetic resonance imaging.
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DOI：
10.1016/j.mri.2012.05.005
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发表时间：
2012-11
影响因子：
2.5
通讯作者：
Rooney, William D.
中科院分区：
文献类型：
--
作者：
Li, Xin;Huang, Wei;Rooney, William D.
关键词：
随着MRI技术的进步，动态对比增强（DCE）MRI正在接近为临床应用同时提供高空间和时间分辨率的能力。然而，信噪比（SNR）和对比噪声比（CNR）考虑因素及其对时程数据药代动力学建模的影响仍然是DCE-MRI采集设计中的挑战。考虑到许多采集参数会影响DCE-MRI数据的性质，最大限度地减少组织特异性数据采集差异（研究中心和扫描仪型号之间）与同步药代动力学建模方法同样重要。对于预期会发生快速造影剂（CR）外渗的癌症相关DCE-MRI研究，当前DCE-MRI方案通常采用3D快速低角度拍摄（FLASH）序列来实现时空分辨率要求。基于不同FLASH序列参数采集的乳腺和前列腺DCE-MRI数据，本文阐述了采集优化和药代动力学建模影响的SNR和CNR考虑因素。基于ROI数据的模拟进一步表明，房室间水交换的影响通常在DCE时程数据建模中起重要作用，特别是对于针对CR后SNR优化的协议。
With advances in MRI technology, Dynamic-Contrast-Enhanced (DCE) MRI is approaching the capability to simultaneously deliver both high spatial- and temporal-resolutions for clinical applications. However, Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR) considerations, and their impacts regarding pharmacokinetic modeling of the time-course data continue to represent challenges in the design of DCE-MRI acquisitions. Given that many acquisition parameters can affect the nature of DCE-MRI data, minimizing tissue-specific data acquisition discrepancy (among sites and scanner models) is as important as synchronizing pharmacokinetic modeling approaches. For cancer related DCE-MRI studies where rapid contrast reagent (CR) extravasation is expected, current DCE-MRI protocols often adopt a 3D fast low-angle shot (FLASH) sequence to achieve spatial-temporal resolution requirements. Based on breast and prostate DCE-MRI data acquired with different FLASH sequence parameters, this paper elucidates a number of SNR and CNR considerations for acquisition optimization and pharmacokinetic modeling implications therein. Simulations based on ROI data further indicate that the effects of intercompartmental water exchange often play an important role in DCE time-course data modeling, especially for protocols optimized for post-CR SNR.
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影响因子：
3.3
作者：
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通讯作者：
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DOI：
10.1073/pnas.0804224105
发表时间：
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影响因子：
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