Magnetic resonance imaging最新文献_第2页

Tumor microstructural biomarkers from time-dependent diffusion MRI for predicting IDH mutation status in non-enhancing gliomas 来自时间依赖扩散MRI的肿瘤微结构生物标志物预测非增强胶质瘤中IDH突变状态。

IF 2 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic resonance imaging

Pub Date : 2026-01-20 DOI: 10.1016/j.mri.2026.110620

Yu Han , Zhuomin Lyu , Yibin Xi , Yuyao Wang , Jin Zhang

Purpose

To explore the value of microstructural parameters derived from time-dependent diffusion MRI (TDD-MRI) in predicting isocitrate dehydrogenase (IDH) mutation status in non-enhancing gliomas.

Methods

A total of 112 patients with non-enhancing gliomas, comprising 90 IDH-mutant and 22 IDH-wildtype gliomas, were enrolled retrospectively. Seven microstructural features were calculated from TDD-MRI. After selecting features via least absolute shrinkage and selection operator regression and Boruta algorithm, Firth's logistic regression was applied to develop three predictive models, including quantitative model, clinical model, and integrative model. Model performance was evaluated using area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, positive predictive value, and negative predictive value. A 5-fold cross-validation and bootstrap were conducted to provide a stable estimate of model performance.

Results

Among all microstructural parameters, cellularity exhibited the most favorable diagnostic efficacy, achieving an AUC of 0.758 and an accuracy of 0.830. The quantitative model outperformed single microstructural parameters with an AUC of 0.828 and an accuracy of 0.857, whereas the clinical model exhibited an AUC of 0.864 and an accuracy of 0.866. The integrative model exhibited the highest diagnostic efficacy, with an AUC of 0.903 and an accuracy of 0.884. For stability, the quantitative, clinical and integrative models yielded 5-fold cross-validation AUCs of 0.836, 0.883 and 0.908, and bootstrap AUCs of 0.821, 0.862 and 0.893, respectively.

Conclusion

TDD-MRI-derived cellularity is the most potent microstructural predictor of IDH status in non-enhancing gliomas. The integrative model achieved superior diagnostic performance, providing a robust and clinically translatable framework for non-invasive glioma genotyping.

目的：探讨时间依赖扩散MRI （TDD-MRI）获得的微结构参数在非增强胶质瘤中预测异柠檬酸脱氢酶（IDH）突变状态的价值。方法：回顾性分析112例非增强型胶质瘤，其中idh突变型胶质瘤90例，idh野生型胶质瘤22例。TDD-MRI计算了7个显微结构特征。通过最小绝对收缩、选择算子回归和Boruta算法选择特征后，应用Firth逻辑回归建立定量模型、临床模型和综合模型三种预测模型。采用受试者工作特征曲线下面积（AUC）、准确性、灵敏度、特异性、阳性预测值和阴性预测值来评价模型的性能。进行了5次交叉验证和自举，以提供模型性能的稳定估计。结果：在所有显微结构参数中，细胞结构的诊断效果最好，AUC为0.758，准确率为0.830。定量模型的AUC为0.828，精度为0.857，优于单一显微结构参数，而临床模型的AUC为0.864，精度为0.866。综合模型的诊断效果最高，AUC为0.903，准确率为0.884。为了提高稳定性，定量模型、临床模型和综合模型的交叉验证auc分别为0.836、0.883和0.908，自举auc分别为0.821、0.862和0.893。结论：tdd - mri衍生的细胞结构是非增强胶质瘤中IDH状态最有效的微观结构预测因子。该综合模型获得了卓越的诊断性能，为非侵袭性胶质瘤基因分型提供了一个强大的、临床可翻译的框架。

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引用次数: 0

Response to Dr. Do. 对多博士的回应。

IF 2 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic resonance imaging

Pub Date : 2026-01-16 DOI: 10.1016/j.mri.2026.110612

Brent Wagner

引用次数: 0

Letter to the editor: "Precipitation of gadolinium from magnetic resonance imaging contrast agents may be the Brass tasks of toxicity". 给编辑的信：“磁共振成像造影剂中钆的沉淀可能是黄铜毒性的任务”。

IF 2 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic resonance imaging

Pub Date : 2026-01-15 DOI: 10.1016/j.mri.2026.110613

Quyen N Do, Zoltan Kovacs, Robert E Lenkinski

引用次数: 0

CvTFuse: An unsupervised medical image fusion method of gliomas T1-DWI mode CvTFuse：一种神经胶质瘤T1-DWI模式的无监督医学图像融合方法。

IF 2 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic resonance imaging

Pub Date : 2026-01-15 DOI: 10.1016/j.mri.2026.110618

Qianjia Huang , Wei Chen , Jiahui Zeng , Jiangyi Ding , Kai Xie , Nannan Cao , Kangkang Sun , Zhuqing Jiao , Jing Cai , Xinye Ni

Background

DWI can provide microscopic information on the diffusion of water molecules, whereas T1WI can provide high-resolution anatomical and histological information.

Purpose

Accurately and effectively fusing different MRI modalities can precisely localize lesion areas and provide rich information for analyzing the nature of lesions.

Methods

We propose a dual-branch medical image fusion network that combines convolutional neural network (CNN) and vision transformer (CvTFuse). CvTFuse consists of three parts: encoder, fusion layer, and decoder. The encoder is divided into a CNN module and a transformer module, which are used to extract local and global features of the source image. To completely capture the contextual information of the image, a global context aggregation module (GCAM) is proposed, which aggregates multi-scale features extracted from the transformer branch to improve the quality of the fused image. The fusion layer employs an energy-aware and gradient-enhanced fusion strategy to help retain the details in the source images for feature fusion of different MRI modalities. The decoder consists of five convolutional layers and two skip connections to reconstruct the fused features.

Results

Qualitative results showed that this method presented clear texture details and sharp boundaries, preserving the salient information of the source images to the greatest extent. Quantitative results indicated that the method achieved average gradient, information entropy, mutual information, and visual saliency of 4.5975, 4.9073, 2.5181, and 0.77, respectively. Qualitative and quantitative results demonstrated that compared with deep learning fusion methods such as DenseFuse, RFN-Nest, MSDNet, IFCNN, CDDFuse, and SwinFusion, this method maintained gradient information, texture information, and edge details very well, while also minimizing information loss and reducing distortion.

Conclusion

This method can combine information from different modalities of MR images, allowing for accurate localization of lesion areas. It also utilizes rich clinical information to aid in the precise diagnosis and formulation of treatment plans.

背景：DWI可以提供水分子扩散的微观信息，而T1WI可以提供高分辨率的解剖和组织学信息。目的：准确有效地融合不同MRI形态，可以精确定位病变区域，为分析病变性质提供丰富的信息。方法：提出了一种结合卷积神经网络（CNN）和视觉变压器（CvTFuse）的双分支医学图像融合网络。CvTFuse由编码器、融合层和解码器三部分组成。编码器分为CNN模块和transformer模块，分别用于提取源图像的局部和全局特征。为了完整地捕获图像的上下文信息，提出了一种全局上下文聚合模块（GCAM），该模块对变压器支路提取的多尺度特征进行聚合，以提高融合图像的质量。融合层采用能量感知和梯度增强融合策略，有助于保留源图像中的细节，用于不同MRI模态的特征融合。该解码器由五个卷积层和两个跳跃连接组成，用于重建融合特征。结果：定性结果表明，该方法纹理细节清晰，边界清晰，最大程度地保留了源图像的显著信息。定量结果表明，该方法的平均梯度、信息熵、互信息和视觉显著性分别为4.5975、4.9073、2.5181和0.77。定性和定量结果表明，与DenseFuse、RFN-Nest、MSDNet、IFCNN、CDDFuse、SwinFusion等深度学习融合方法相比，该方法能很好地保持梯度信息、纹理信息和边缘细节，同时最大限度地减少了信息丢失和失真。结论：该方法可以结合不同形态的MR图像信息，实现病灶区域的准确定位。它还利用丰富的临床信息来帮助精确诊断和制定治疗计划。

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引用次数: 0

Comparing orientation-dependent transverse relaxation at 3 T and 7 T: Deciphering anisotropic relaxation mechanisms in white matter 比较3 T和7 T的方向相关横向弛豫：解读白质的各向异性弛豫机制。

IF 2 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic resonance imaging

Pub Date : 2026-01-14 DOI: 10.1016/j.mri.2026.110616

Yuxi Pang, Rajikha Raja, Wilburn E. Reddick

Orientation-dependent transverse relaxation in human brain white matter (WM) has been widely reported, yet its biophysical origins remain debated. This study investigates the relative contributions of the magic angle effect (MAE) and susceptibility-based mechanisms at 3 T and 7 T. Publicly available diffusion tensor imaging (DTI) datasets from 25 young adults in the Human Connectome Project, acquired with b-values of [0,1000] and [0,2000] s/mm², were analyzed. Using a cone-based framework that incorporates a generalized MAE model, the magnitudes of orientation-dependent transverse relaxation rates (

R_{2}^{a}

) were derived from T₂-weighted images (b = 0) and compared across the two field strengths. Additionally,

R_{2}^{a}

values obtained from gradient-echo (GRE) signals reported in previous literature were evaluated at both 3 T and 7 T. Classical relaxation theory predicts a ratio η = R₂^a(7 T) / R₂^a(3 T) ≃ 1 if MAE dominates, or approximately η = 5.4 if susceptibility effects prevail. Model parameters were consistent across DTI datasets with different non-zero b-values. For b = 1000 s/mm²,

R_{2}^{a}

increased from 4.0 ± 1.1 s⁻¹ at 3 T to 5.6 ± 1.6 s⁻¹ at 7 T, yielding a ratio η < 1.5. This increase suggests a partial contribution of susceptibility effects to the measured

R_{2}^{a}

, estimated at 8.3 ± 10.2% at 3 T and 34.5 ± 42.2% at 7 T. In contrast, GRE-based η values were close to unity. These findings suggest that MAE is the predominant mechanism underlying orientation-dependent transverse relaxation in WM at 3 T, offering a revised interpretation that contrasts with prior susceptibility-based explanations.

人类脑白质（WM）中定向依赖的横向弛豫已被广泛报道，但其生物物理起源仍存在争议。本研究探讨了魔角效应（MAE）和基于敏感性的机制在3 T和7 T的相对贡献。研究人员分析了来自人类连接组项目中25名年轻人的弥散张量成像（DTI）数据集，这些数据集的b值分别为[0,1000]和[0,2000]s/mm2。使用基于锥的框架，结合广义MAE模型，从t2加权图像（b = 0）中得出方向相关的横向弛豫率（R2a）的大小，并在两种场强之间进行比较。此外，在先前文献中报道的梯度回波（GRE）信号中获得的R2a值在3 T和7 T进行了评估。经典松弛理论预测，如果MAE占主导地位，η = R2a(7 T) / R2a（3 T） = 1，如果磁化率效应占主导地位，η [[EQUATION]]约为5.4。不同非零b值的DTI数据集的模型参数一致。1000 b =  s /平方毫米,R2a增加从4.0 ±1.1  在3 T s - 1到5.6 ±1.6  7 T, s - 1产生率η

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引用次数: 0

Associations of MRI indirect derived glymphatic system impairment with acute carbon monoxide poisoning and delayed neurological sequelae MRI间接衍生淋巴系统损伤与急性一氧化碳中毒和迟发性神经系统后遗症的关系

IF 2 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic resonance imaging

Pub Date : 2026-01-12 DOI: 10.1016/j.mri.2026.110615

Siying Chen , Shijun Yang , Jinlan Li , Xiaoling Deng , Min Jia , Congping Wang , Minghui Tan , Feng Duan , Qunhui Liu

Objective

To assess the glymphatic function utilizing diffusion tensor imaging along the perivascular space (DTI-ALPS) indices in acute carbon monoxide poisoning (ACOP) and subsequent delayed neurological sequelae (DNS).

Methods

A total of 76 participants were included and categorized into ACOP (n = 51) and healthy controls (HCs, n = 25), and the ACOP groups were further divided into DNS (n = 26) and non-DNS (n = 25) subgroups. Demographic and clinical variables were included. Group differences were analyzed, and correlations between the DTI-ALPS index and clinical parameters were assessed. Multivariate logistic regression was performed to evaluate the predictive value of sex, age, blood lactate, CO exposure time, COHb, and DTI-ALPS index in classifying DNS patients.

Results

Significant differences in left DTI-ALPS, right DTI-ALPS and mean DTI-ALPS index were observed between the ACOP and HC groups (d = −0.18 [−0.32, −0.10], FWE-corrected p < 0.001), and between the non-DNS and DNS groups (d = −0.17 [−0.21, −0.05], FWE-corrected p < 0.01). The logistic regression model showed that CO exposure time, lactic acid, left DTI-ALPS, right DTI-ALPS, and mean DTI-ALPS were associated with a higher occurrence of DNS (p = 0.018, p = 0.019, p = 0.032, p = 0.038, p = 0.026, respectively), with an area under the curve of 0.98, sensitivity of 0.96, specificity of 0.92, positive predictive value of 0.92, and negative predictive value of 0.92. Additionally, CO exposure time, COHb levels, and blood lactate levels were significantly negatively correlated with DTI-ALPS indices

Conclusions

The DTI-ALPS index serves as a potential imaging biomarker for brain damage associated with ACOP and DNS, indicating the involvement of glymphatic dysfunction in the pathophysiology of these conditions.

目的应用血管间隙弥散张量成像（DTI-ALPS）评价急性一氧化碳中毒（ACOP）及其迟发性神经系统后遗症（DNS）患者的淋巴功能。方法将76例患者分为ACOP组（n = 51）和健康对照组（n = 25）， ACOP组又分为DNS组（n = 26）和非DNS组（n = 25）。包括人口统计学和临床变量。分析各组差异，评估DTI-ALPS指数与临床参数的相关性。采用多因素logistic回归评价性别、年龄、血乳酸、CO暴露时间、COHb、DTI-ALPS指数对DNS患者分类的预测价值。结果ACOP组与HC组左DTI-ALPS、右DTI-ALPS和平均DTI-ALPS指数差异有统计学意义（d = - 0.18 [- 0.32, - 0.10]， fwe校正p <； 0.001），非DNS组与DNS组差异有统计学意义（d = - 0.17 [- 0.21, - 0.05]， fwe校正p <； 0.01）。logistic回归模型显示，CO暴露时间、乳酸浓度、左侧DTI-ALPS、右侧DTI-ALPS和平均DTI-ALPS与DNS发生率升高相关（p = 0.018, p = 0.019, p = 0.032, p = 0.038, p = 0.026），曲线下面积为0.98，敏感性为0.96，特异性为0.92，阳性预测值为0.92，阴性预测值为0.92。此外，CO暴露时间、COHb水平和血乳酸水平与DTI-ALPS指数呈显著负相关。结论DTI-ALPS指数可作为ACOP和DNS相关脑损伤的潜在成像生物标志物，提示淋巴功能障碍参与了这些疾病的病理生理。

{"title":"Associations of MRI indirect derived glymphatic system impairment with acute carbon monoxide poisoning and delayed neurological sequelae","authors":"Siying Chen , Shijun Yang , Jinlan Li , Xiaoling Deng , Min Jia , Congping Wang , Minghui Tan , Feng Duan , Qunhui Liu","doi":"10.1016/j.mri.2026.110615","DOIUrl":"10.1016/j.mri.2026.110615","url":null,"abstract":"<div><h3>Objective</h3><div>To assess the glymphatic function utilizing diffusion tensor imaging along the perivascular space (DTI-ALPS) indices in acute carbon monoxide poisoning (ACOP) and subsequent delayed neurological sequelae (DNS).</div></div><div><h3>Methods</h3><div>A total of 76 participants were included and categorized into ACOP (<em>n</em> = 51) and healthy controls (HCs, <em>n</em> = 25), and the ACOP groups were further divided into DNS (<em>n</em> = 26) and non-DNS (n = 25) subgroups. Demographic and clinical variables were included. Group differences were analyzed, and correlations between the DTI-ALPS index and clinical parameters were assessed. Multivariate logistic regression was performed to evaluate the predictive value of sex, age, blood lactate, CO exposure time, COHb, and DTI-ALPS index in classifying DNS patients.</div></div><div><h3>Results</h3><div>Significant differences in left DTI-ALPS, right DTI-ALPS and mean DTI-ALPS index were observed between the ACOP and HC groups (d = −0.18 [−0.32, −0.10], FWE-corrected <em>p</em> < 0.001), and between the non-DNS and DNS groups (d = −0.17 [−0.21, −0.05], FWE-corrected <em>p</em> < 0.01). The logistic regression model showed that CO exposure time, lactic acid, left DTI-ALPS, right DTI-ALPS, and mean DTI-ALPS were associated with a higher occurrence of DNS (<em>p</em> = 0.018, <em>p</em> = 0.019, <em>p</em> = 0.032, <em>p</em> = 0.038, <em>p</em> = 0.026, respectively), with an area under the curve of 0.98, sensitivity of 0.96, specificity of 0.92, positive predictive value of 0.92, and negative predictive value of 0.92. Additionally, CO exposure time, COHb levels, and blood lactate levels were significantly negatively correlated with DTI-ALPS indices</div></div><div><h3>Conclusions</h3><div>The DTI-ALPS index serves as a potential imaging biomarker for brain damage associated with ACOP and DNS, indicating the involvement of glymphatic dysfunction in the pathophysiology of these conditions.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"128 ","pages":"Article 110615"},"PeriodicalIF":2.0,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Motion detection and correction for MR imaging using a structured light optical motion tracking system (SLOMO) 使用结构光光学运动跟踪系统（SLOMO）进行MR成像的运动检测和校正。

IF 2 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic resonance imaging

Pub Date : 2026-01-11 DOI: 10.1016/j.mri.2026.110619

Chunyao Wang , Tianqi Huang , Yuze Li , Yajie Wang , Sisi Li , Yi Xiao , Chen Zhang , Yishi Wang , Hua Guo , Huijun Chen

Purpose

To develop a markerless structured light system (SLOMO) for both rigid (brain) and non-rigid (liver) motion correction in MR imaging.

Methods

The Structured Light Optical MOtion Tracking System (SLOMO) consisted of an MR- compatible camera and a parallel-line projector. The accuracy and precision of the SLOMO were evaluated by phantom experiments. The SLOMO was validated on five volunteers via brain imaging, in which the rigid motion of the head was extracted by registering the SLOMO-measured 3D face point clouds and used to correct the acquired k-space data. Additionally, the capability of SLOMO in non-rigid motion detection was evaluated in liver imaging of three volunteers. During each scan, the respiratory curve was extracted from 3D neck surface changes and then used to divide the acquired data into four respiratory bins; data of each bin was finally reconstructed into images, respectively. For comparison, bellow-based binning and sequential- binning served as references.

Results

The tracking accuracy (evaluated via phantom image registration) and precision (evaluated via static phantom tracking) of the SLOMO were 0.38 mm/0.25°and 0.0048 mm/0.0019°, respectively. In brain imaging, SLOMO-corrected images had significantly higher image quality scores than uncorrected images (P < 0.001). In liver imaging, the correlation coefficient (r) between the respiratory curves extracted from the SLOMO and the bellow was 0.92 ± 0.04; images reconstructed from the bellow- bins and the SLOMO-bins showed comparable image quality (P = 0.38), while both were significantly higher than those from sequential-bins.

Conclusion

The proposed SLOMO demonstrated its capability in rigid and non-rigid motion detection and correction for MR brain and liver imaging.

目的：开发一种无标记结构光系统（SLOMO），用于磁共振成像中刚性（脑）和非刚性（肝）运动校正。方法：结构光光学运动跟踪系统（SLOMO）由一个磁共振兼容相机和一个平行线投影仪组成。通过模拟实验对SLOMO的准确度和精密度进行了评价。通过脑成像对5名志愿者进行验证，其中通过注册SLOMO测量的3D面部点云来提取头部的刚性运动，并用于校正获取的k空间数据。此外，在三名志愿者的肝脏成像中评估了SLOMO在非刚性运动检测中的能力。每次扫描时，从三维颈部表面变化中提取呼吸曲线，然后将采集到的数据分成4个呼吸区；最后将每个bin的数据分别重构为图像。为了进行比较，可以参考基于波纹管的分组和顺序分组。结果：SLOMO的跟踪精度（通过幻影图像配准评估）和精度（通过静态幻影跟踪评估）分别为0.38 mm/0.25°和0.0048 mm/0.0019°。在脑成像中，SLOMO校正图像的图像质量评分明显高于未校正图像（P ）结论：所提出的SLOMO在MR脑和肝脏成像中具有刚性和非刚性运动检测和校正的能力。

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引用次数: 0

Multi-modality conditioned variational U-net for field-of-view extension in brain diffusion MRI 脑弥散MRI视场扩展的多模态条件变分U-net。

IF 2 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic resonance imaging

Pub Date : 2026-01-09 DOI: 10.1016/j.mri.2026.110617

Zhiyuan Li , Chenyu Gao , Praitayini Kanakaraj , Shunxing Bao , Lianrui Zuo , Michael E. Kim , Nancy R. Newlin , Gaurav Rudravaram , Nazirah M. Khairi , Yuankai Huo , Kurt G. Schilling , Walter A. Kukull , Arthur W. Toga , Derek B. Archer , Timothy J. Hohman , Bennett A. Landman , for the Alzheimer's Disease Neuroimaging Initiative

An incomplete field-of-view (FOV) in diffusion magnetic resonance imaging (dMRI) can severely hinder the volumetric and bundle analyses of whole-brain white matter connectivity. Although existing works have investigated imputing the missing regions using deep generative models, it remains unclear how to specifically utilize additional information from paired multi-modality data and whether this can enhance the imputation quality and be useful for downstream tractography. To fill this gap, we propose a novel framework for imputing dMRI scans in the incomplete part of the FOV by integrating the learned diffusion features in the acquired part of the FOV to the complete brain anatomical structure. We hypothesize that by this design the proposed framework can enhance the imputation performance of the dMRI scans and therefore be useful for repairing whole-brain tractography in corrupted dMRI scans with incomplete FOV. We tested our framework on two cohorts from different sites with a total of 96 subjects and compared it with a baseline imputation method that treats the information from T1w and dMRI scans equally. The proposed framework achieved significant improvements in imputation performance, as demonstrated by angular correlation coefficient (p < 1E-5), and in downstream tractography accuracy, as demonstrated by Dice score (p < 0.01). Results suggest that the proposed framework improved imputation performance in dMRI scans by specifically utilizing additional information from paired multi-modality data, compared with the baseline method. The imputation achieved by the proposed framework enhances whole brain tractography, and therefore reduces the uncertainty when analyzing bundles associated with neurodegenerative.

扩散磁共振成像（dMRI）中不完整的视场（FOV）会严重阻碍全脑白质连通性的体积和束分析。尽管已有研究使用深度生成模型对缺失区域进行了输入，但如何具体利用配对多模态数据的附加信息，以及这是否能提高输入质量并对下游牵引成像有用，仍不清楚。为了填补这一空白，我们提出了一种新的框架，通过将视场中习得部分的扩散特征整合到完整的大脑解剖结构中，将dMRI扫描输入到视场的不完整部分。我们假设，通过这种设计，所提出的框架可以提高dMRI扫描的输入性能，因此可用于修复视场不完整的损坏dMRI扫描的全脑束图。我们在来自不同地点的两组共96名受试者中测试了我们的框架，并将其与同等对待T1w和dMRI扫描信息的基线imputation方法进行了比较。所提出的框架在插补性能上取得了显著的改进，如角相关系数(p

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引用次数: 0

Stratifying non-alcoholic fatty liver disease using diffusion-weighted imaging–based habitat imaging: A rabbit model study 利用基于栖息地成像的弥散加权成像分层非酒精性脂肪肝：兔模型研究。

IF 2 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic resonance imaging

Pub Date : 2026-01-09 DOI: 10.1016/j.mri.2026.110614

Jiale Hang , Wenjian Wang , Furong Wan , Zhaorong Wang , Jun Sun , Dejuan Shen , Jing Ye , Xianfu Luo

Purpose

Habitat imaging integrated multiparametric biomarkers, enabling precise quantification and visualization of hepatic tissue characteristics. This work evaluated DWI-based habitat imaging for stratifying Non-alcoholic Fatty Liver Disease (NAFLD) stages to enable early detection of Nonalcoholic Steatohepatitis (NASH).

Methods

Using existing DWI data from 32 male New Zealand rabbits randomized to high-fat/cholesterol or standard diets (NAFLD model), we applied a novel habitat imaging framework integrating mono-exponential diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), stretched exponential model (SEM), and diffusion kurtosis imaging (DKI) models. This identified four hepatic habitats reflecting perfusion, diffusion heterogeneity, and microstructural complexity. Unlike prior diffusion analyses, habitat fractions (H₁ - H₄) and heterogeneity (HH) indices were derived via spatial multiparametric pattern recognition. Diagnostic performance for NASH was assessed by AUC.

Results

NASH was characterized by a significantly lower fraction of habitat 1 (H₁) and higher fraction of habitat 4 (H₄) (p < 0.05). Habitat heterogeneity (HH) was markedly reduced in NASH versus normal histology and simple steatosis (p < 0.05). For distinguishing NASH, H₁ demonstrated a numerically higher AUC (0.931) compared to H₁ + H₄ (AUC = 0.922) and perfusion fraction (f, AUC = 0.909). However, the DeLong test confirmed no statistically significant differences among these AUC values.

Conclusion

DWI habitat imaging is a promising tool for NAFLD monitoring, detecting tissue heterogeneity with diagnostic performance comparable to conventional diffusion metrics.

目的：Habitat成像集成多参数生物标志物，实现肝组织特征的精确量化和可视化。本研究评估了基于dwi的栖息地成像对非酒精性脂肪性肝病（NAFLD）分期的分层，以实现非酒精性脂肪性肝炎（NASH）的早期检测。方法：利用现有的32只雄性新西兰兔的DWI数据，随机分配到高脂肪/胆固醇或标准饮食（NAFLD模型）中，我们应用了一种新的栖息地成像框架，该框架集成了单指数扩散加权成像（DWI）、体素内非相干运动（IVIM）、拉伸指数模型（SEM）和扩散峰态成像（DKI）模型。该研究确定了四种反映灌注、扩散异质性和微观结构复杂性的肝脏栖息地。与先前的扩散分析不同，生境分数（H1 - H4）和异质性（HH）指数是通过空间多参数模式识别得到的。通过AUC评估NASH的诊断性能。结果：与H1 + H4 （AUC = 0.922）和灌注分数（f, AUC = 0.909）相比，NASH的特征是栖息地1 （H1）分数明显低于栖息地4 （H4）分数（p 1），栖息地4 （H4）分数明显高于栖息地1 （H1）分数（0.931）。然而，DeLong检验证实这些AUC值之间没有统计学上的显著差异。结论：DWI栖息地成像是一种很有前途的NAFLD监测工具，检测组织异质性，诊断性能与传统扩散指标相当。

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引用次数: 0

The effect of prolonged glucose infusion on resting-state fMRI signal fluctuations at 7 T 长时间葡萄糖输注对7 T静息状态fMRI信号波动的影响。

IF 2 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic resonance imaging

Pub Date : 2026-01-09 DOI: 10.1016/j.mri.2026.110611

N. Ahmadian , Evita C. Wiegers , Wybe van der Kemp , Ellen van Hulst , Corin Miller , Sarah Hsieh , An Bautmans , Kristien Van Dyck , Shawn Kim , Ilias Triantafyllou , Pieter van Eijsden , Dennis W. Klomp , Natalia Petridou , Alex A. Bhogal

The aim of this study was to examine the effect of 2-h glucose infusion after an overnight fast on relative resting-state fMRI signal fluctuations. Our hypothesis was that neuronal glucose metabolism would be affected, and that this would lead to changes in signal power at specific frequency bands. Resting state fMRI (rsfMRI) scans were acquired in 9 subjects pre- and post-glucose ∼2 h infusion. Fourier spectral analysis was performed using signals localized in the prefrontal cortex. Power spectra were calculated and statistical analysis was performed targeting the full spectral range using both a cluster-based and Wilcoxon signed rank test. For both tests, post-infusion signal power was significantly higher between the 0.015–0.1 Hz range. Moreover we observed differences at higher frequencies, normally attributed to cardiac or respiratory related signals. Our findings suggest that prolonged glucose infusion post-fasting may significantly modulate rsfMRI signal fluctuations in the prefrontal cortex that may be related to metabolic responses to glucose infusion. Future studies should investigate the dynamic effects of sustained glucose infusion using continuous fMRI, exploring implications for brain function and metabolic disorders like diabetes.

本研究的目的是研究禁食后2小时葡萄糖输注对相对静息状态fMRI信号波动的影响。我们的假设是神经元葡萄糖代谢将受到影响，这将导致特定频段信号功率的变化。对9例受试者进行静息状态fMRI （rsfMRI）扫描，观察葡萄糖~2 h输注前后。傅里叶谱分析使用定位于前额皮质的信号。计算功率谱，并使用基于聚类和Wilcoxon符号秩检验对全光谱范围进行统计分析。在0.015 ~ 0.1 Hz范围内，两组注射后信号功率均显著增高。此外，我们观察到更高频率的差异，通常归因于心脏或呼吸相关信号。我们的研究结果表明，禁食后长时间的葡萄糖输注可能会显著调节前额皮质的rsfMRI信号波动，这可能与葡萄糖输注的代谢反应有关。未来的研究应利用连续功能磁共振成像（fMRI）研究持续葡萄糖输注的动态影响，探索其对脑功能和糖尿病等代谢紊乱的影响。

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