一种改进的后处理方法,用于减轻 7T 小鼠大脑 R2* 测量中的宏观交叉片 B0 场效应

IF 2.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Tomography Pub Date : 2024-07-11 DOI:10.3390/tomography10070081
Chu-Yu Lee, Daniel R. Thedens, Olivia Lullmann, E. Steinbach, Michelle R. Tamplin, M. Petronek, Isabella M. Grumbach, B. G. Allen, L. Harshman, V. Magnotta
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引用次数: 0

摘要

磁共振横向弛豫速率 R2* 已被广泛用于检测组织中的铁和髓鞘含量。然而,它对宏观 B0 不均匀性也很敏感。校正 B0 效应的一种方法是用三参数模型(sinc 函数加权单指数衰减)拟合梯度回波信号。然而,这种三参数模型对噪声的敏感性增加。为了解决这个问题,本研究提出了一种基于三参数模型的两阶段拟合程序,以减轻 B0 效应并降低 7T 下小鼠大脑 R2* 测量的噪声灵敏度。对八只健康小鼠进行了磁共振成像扫描。梯度回波信号采用两阶段拟合程序拟合,以生成 R2corr_t*。此外,还使用单指数模型和三参数模型对信号进行拟合,分别生成 R2nocorr* 和 R2corr*。选择感兴趣区(ROI),包括胼胝体、内囊、体感皮层、尾突、丘脑和侧脑室,以评估 R2* 测量值的 ROI 内平均值和标准偏差(SD)。结果显示,在选定的 ROI 中使用三参数模型后,单指数模型的 Akaike 信息标准显著降低(p = 0.0039-0.0078)。然而,在内囊、尾状肌和丘脑区域,使用三参数模型的 R2corr* 的区域内 SD 明显高于 R2nocorr*(p = 0.0039),部分原因是三参数模型对噪声的敏感性增加。采用两阶段拟合程序后,除了 B0 梯度场平面内变化较快的躯体感觉皮层区域(p = 0.0039-0.0078)外,所有 ROI 的 R2corr* 的 ROI 内 SD 均显著降低了 7.7-30.2%。这些结果支持利用两阶段拟合程序来减轻 B0 效应,降低小鼠大脑 R2* 测量的噪声灵敏度。
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An Improved Postprocessing Method to Mitigate the Macroscopic Cross-Slice B0 Field Effect on R2* Measurements in the Mouse Brain at 7T
The MR transverse relaxation rate, R2*, has been widely used to detect iron and myelin content in tissue. However, it is also sensitive to macroscopic B0 inhomogeneities. One approach to correct for the B0 effect is to fit gradient-echo signals with the three-parameter model, a sinc function-weighted monoexponential decay. However, such three-parameter models are subject to increased noise sensitivity. To address this issue, this study presents a two-stage fitting procedure based on the three-parameter model to mitigate the B0 effect and reduce the noise sensitivity of R2* measurement in the mouse brain at 7T. MRI scans were performed on eight healthy mice. The gradient-echo signals were fitted with the two-stage fitting procedure to generate R2corr_t*. The signals were also fitted with the monoexponential and three-parameter models to generate R2nocorr* and R2corr*, respectively. Regions of interest (ROIs), including the corpus callosum, internal capsule, somatosensory cortex, caudo-putamen, thalamus, and lateral ventricle, were selected to evaluate the within-ROI mean and standard deviation (SD) of the R2* measurements. The results showed that the Akaike information criterion of the monoexponential model was significantly reduced by using the three-parameter model in the selected ROIs (p = 0.0039–0.0078). However, the within-ROI SD of R2corr* using the three-parameter model was significantly higher than that of the R2nocorr* in the internal capsule, caudo-putamen, and thalamus regions (p = 0.0039), a consequence partially due to the increased noise sensitivity of the three-parameter model. With the two-stage fitting procedure, the within-ROI SD of R2corr* was significantly reduced by 7.7–30.2% in all ROIs, except for the somatosensory cortex region with a fast in-plane variation of the B0 gradient field (p = 0.0039–0.0078). These results support the utilization of the two-stage fitting procedure to mitigate the B0 effect and reduce noise sensitivity for R2* measurement in the mouse brain.
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来源期刊
Tomography
Tomography Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
2.70
自引率
10.50%
发文量
222
期刊介绍: TomographyTM publishes basic (technical and pre-clinical) and clinical scientific articles which involve the advancement of imaging technologies. Tomography encompasses studies that use single or multiple imaging modalities including for example CT, US, PET, SPECT, MR and hyperpolarization technologies, as well as optical modalities (i.e. bioluminescence, photoacoustic, endomicroscopy, fiber optic imaging and optical computed tomography) in basic sciences, engineering, preclinical and clinical medicine. Tomography also welcomes studies involving exploration and refinement of contrast mechanisms and image-derived metrics within and across modalities toward the development of novel imaging probes for image-based feedback and intervention. The use of imaging in biology and medicine provides unparalleled opportunities to noninvasively interrogate tissues to obtain real-time dynamic and quantitative information required for diagnosis and response to interventions and to follow evolving pathological conditions. As multi-modal studies and the complexities of imaging technologies themselves are ever increasing to provide advanced information to scientists and clinicians. Tomography provides a unique publication venue allowing investigators the opportunity to more precisely communicate integrated findings related to the diverse and heterogeneous features associated with underlying anatomical, physiological, functional, metabolic and molecular genetic activities of normal and diseased tissue. Thus Tomography publishes peer-reviewed articles which involve the broad use of imaging of any tissue and disease type including both preclinical and clinical investigations. In addition, hardware/software along with chemical and molecular probe advances are welcome as they are deemed to significantly contribute towards the long-term goal of improving the overall impact of imaging on scientific and clinical discovery.
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