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脑内体素内不相干运动成像的信噪比和 b 值分析。

Signal to noise and b-value analysis for optimal intra-voxel incoherent motion imaging in the brain.

机构信息

Department of Diagnostic Radiology, University of Turku, Turku, Finland.

Department of Future Technologies, University of Turku, Turku, Finland.

出版信息

PLoS One. 2021 Sep 23;16(9):e0257545. doi: 10.1371/journal.pone.0257545. eCollection 2021.

DOI:10.1371/journal.pone.0257545
PMID:34555054
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8459980/
Abstract

Intravoxel incoherent motion (IVIM) is a method that can provide quantitative information about perfusion in the human body, in vivo, and without contrast agent. Unfortunately, the IVIM perfusion parameter maps are known to be relatively noisy in the brain, in particular for the pseudo-diffusion coefficient, which might hinder its potential broader use in clinical applications. Therefore, we studied the conditions to produce optimal IVIM perfusion images in the brain. IVIM imaging was performed on a 3-Tesla clinical system in four healthy volunteers, with 16 b values 0, 10, 20, 40, 80, 110, 140, 170, 200, 300, 400, 500, 600, 700, 800, 900 s/mm2, repeated 20 times. We analyzed the noise characteristics of the trace images as a function of b-value, and the homogeneity of the IVIM parameter maps across number of averages and sub-sets of the acquired b values. We found two peaks of noise of the trace images as function of b value, one due to thermal noise at high b-value, and one due to physiological noise at low b-value. The selection of b value distribution was found to have higher impact on the homogeneity of the IVIM parameter maps than the number of averages. Based on evaluations, we suggest an optimal b value acquisition scheme for a 12 min scan as 0 (7), 20 (4), 140 (19), 300 (9), 500 (19), 700 (1), 800 (4), 900 (1) s/mm2.

摘要

体素内不相干运动(IVIM)是一种可以提供人体体内灌注定量信息的方法,无需造影剂。不幸的是,IVIM 灌注参数图在大脑中被认为是相对嘈杂的,特别是对于假性扩散系数,这可能会阻碍其在临床应用中的潜在更广泛应用。因此,我们研究了在大脑中产生最佳 IVIM 灌注图像的条件。在四名健康志愿者中,在 3-Tesla 临床系统上进行 IVIM 成像,使用 16 个 b 值 0、10、20、40、80、110、140、170、200、300、400、500、600、700、800、900 s/mm2,重复 20 次。我们分析了迹线图像的噪声特性作为 b 值的函数,以及 IVIM 参数图在平均次数和采集的 b 值子集数量上的均匀性。我们发现迹线图像的噪声有两个峰值作为 b 值的函数,一个是由于高 b 值下的热噪声,另一个是由于低 b 值下的生理噪声。发现 b 值分布的选择比对 IVIM 参数图的均匀性有更高的影响。基于评估,我们建议一个 12 分钟扫描的最佳 b 值采集方案为 0(7)、20(4)、140(19)、300(9)、500(19)、700(1)、800(4)、900(1)s/mm2。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61f8/8459980/93da6eb9641e/pone.0257545.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61f8/8459980/67c9708131f3/pone.0257545.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61f8/8459980/06657066c504/pone.0257545.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61f8/8459980/ef74b8faacbf/pone.0257545.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61f8/8459980/687d4c732505/pone.0257545.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61f8/8459980/93da6eb9641e/pone.0257545.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61f8/8459980/67c9708131f3/pone.0257545.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61f8/8459980/06657066c504/pone.0257545.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61f8/8459980/ef74b8faacbf/pone.0257545.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61f8/8459980/687d4c732505/pone.0257545.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61f8/8459980/93da6eb9641e/pone.0257545.g005.jpg

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