Magnetic resonance imaging最新文献_第10页

Histological validation of dark-blood LGE quantification methods in rat myocardial infarction models: A 3.0 T CMR study 大鼠心肌梗死模型暗血LGE定量方法的组织学验证：3.0 T CMR研究。

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

Magnetic resonance imaging

Pub Date : 2025-11-02 DOI: 10.1016/j.mri.2025.110557

Pei Liu , Xiaoying Zhao , Xiaodong Yuan, Lujing Wang, Yujiao Song, Siwen Chen, Mingtian Chen, Xinxiang Zhao

<div><h3>Rationale and objectives</h3><div>Current studies of cardiac magnetic resonance late gadolinium enhancement (CMR-LGE) in rat myocardial infarction (MI) models are mostly based on 7.0 T MRI, which is not widely available. In addition, differences in infarct volume detected by various quantification methods for dark-blood LGE remain unclear. This study is the first to systematically validate different dark-blood LGE quantification methods using 3.0 T MRI in an SD rat MI model. The aim was to assess the reliability, consistency, and agreement with histology, providing a methodological reference for in vivo quantification of myocardial fibrosis in rat MI models and offering experimental and theoretical support for optimizing quantitative analysis strategies in future clinical studies.</div></div><div><h3>Materials and methods</h3><div>Methods: Finally, 20 SPF male SD rats were included (5 in the control group and 15 in the myocardial infarction model group). MI models were created by open-chest ligation of the left anterior descending coronary artery. Four weeks later, 3.0 T CMR dark-blood LGE scans were performed. After heart excision, continuous 4–6 μm paraffin sections were prepared. Masson trichrome staining was used to determine collagen volume fraction as the histological standard. LGE images were analyzed with CVI42 software. Quantitative results were obtained using manual delineation, 2SD threshold, 3SD threshold, 5SD threshold, and full-width half-maximum (FWHM) methods. Consistency with histology was assessed using intraclass correlation coefficients (ICC), concordance correlation coefficients (CCC), Pearson correlation, and Bland–Altman analysis.</div></div><div><h3>Results</h3><div>Consistency analysis revealed significant differences among the five LGE postprocessing methods compared with the histological gold standard (<em>P</em> < 0.05). The manual method demonstrated excellent intra- and inter-observer consistency (ICC > 0.95) and significantly outperformed the automated methods. Lin's concordance correlation coefficient and Pearson correlation analyses indicated the highest agreement with histology for the manual method (CCC = 0.895, 95 % CI: 0.745–0.958; <em>r</em> = 0.926, <em>P</em> < 0.001), surpassing all automated threshold methods.Correlation analyses confirmed a strong agreement between the manual method and histology, consistent with the CCC results. Among the automated methods, FWHM (CCC = 0.689, 95 % CI: 0.393–0.856) and 5SD (CCC = 0.682, 95 % CI: 0.388–0.850) performed relatively well, whereas 3SD (CCC = 0.617) and 2SD (CCC = 0.474) showed poorer agreements. Bland–Altman analysis supported this trend: the manual method exhibited the smallest systematic bias (mean bias = −1.00) and narrowest 95 % limits of agreement (−5.88 to +3.88). Among the automated methods, 5SD had the smallest bias (mean bias = +0.18), whereas 2SD showed the largest bias (mean bias = +5.96) and the widest limits of agreement.</div><

理由与目的：目前对大鼠心肌梗死（MI）模型的心脏磁共振晚期钆增强（CMR-LGE）的研究大多基于7.0 T MRI，该技术尚未广泛应用。此外，各种定量方法检测的暗血LGE梗死面积差异尚不清楚。本研究首次使用3.0 T MRI在SD大鼠心肌梗死模型中系统验证了不同的暗血LGE定量方法。目的是评估可靠性、一致性和与组织学的一致性，为心肌梗死模型大鼠体内心肌纤维化定量提供方法学参考，并为今后临床研究中优化定量分析策略提供实验和理论支持。材料与方法：方法：选取SPF雄性SD大鼠20只（对照组5只，心肌梗死模型组15只）。采用左冠状动脉前降支结扎术建立心肌梗死模型。4周后，进行3.0 T CMR黑血LGE扫描。心脏切除后，连续制作4-6 μm石蜡切片。马松三色染色法测定胶原体积分数作为组织学标准。使用CVI42软件对LGE图像进行分析。采用人工圈定、2SD阈值、3SD阈值、5SD阈值和全宽半最大值（FWHM）方法获得定量结果。采用类内相关系数（ICC）、一致性相关系数（CCC）、Pearson相关和Bland-Altman分析评估与组织学的一致性。结果：一致性分析显示，5种LGE后处理方法与组织学金标准相比存在显著差异（P  0.95），且显著优于自动化方法。Lin的一致性相关系数和Pearson相关分析显示，手工方法与组织学吻合度最高（CCC = 0.895,95 % CI: 0.745-0.958; r = 0.926,P ）结论：3.0 T暗血LGE成像在体内评价SD大鼠心肌纤维化模型是可行的。人工圈定与组织学吻合度最高，定量准确度最高。在信号强度阈值方法中，FWHM和5SD具有较高的一致性和稳定性，为大鼠心肌梗死的体内评价提供了较好的参考数据。

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引用次数: 0

Association of white matter hyperintensities with cognitive impairment. 白质高信号与认知障碍的关系。

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

Magnetic resonance imaging

Pub Date : 2025-11-01 Epub Date: 2025-07-29 DOI: 10.1016/j.mri.2025.110464

Wen-Jun Feng, Yu-Meng Gu, Xiao-Shuang Xia, Xin Li

Objective: This study aimed to examine the characteristics of cognitive impairment in individuals with white matter hyperintensities (WMH) and to compare differences in cognitive dysfunction across varying levels of WMH severity.

Methods: A total of 100 participants were randomly recruited from inpatient and outpatient departments of a hospital between November 2018 and December 2022. The cohort included 55 patients with cerebral small vessel disease (CSVD) and 45 control participants without CSVD. Among the CSVD group, 37 individuals had WMH. Cognitive function assessments were conducted for both the WMH and control groups to evaluate the characteristics of WMH-related cognitive dysfunction. Furthermore, cognitive scale scores and fractional anisotropy (FA) values obtained from diffusion tensor imaging (DTI) were compared among patients with varying WMH severity levels to analyze variations in cognitive performance and lesion characteristics across multiple brain regions.

Results: Statistically significant differences were observed between the control and CSVD groups in age, hypertension, diabetes, coronary heart disease, smoking, and physical activity (P < 0.05). The WMH and control groups demonstrated significant differences in the Montreal Cognitive Assessment (MoCA) total score, Digit Span Test (DST)-forward, DST-backward, Color Trail Test (CTT)-A, and CTT-B scores (p < 0.05). Significant differences were also identified between the mild and severe WMH groups (p < 0.05). Analysis of moderate and severe WMH groups indicated significant differences in FA values of the anterior horn of the lateral ventricle (p < 0.05), along with significant differences in age, DST-forward, and CTT-B scores (p < 0.05).

Conclusion: Cognitive impairment in individuals with WMH is predominantly characterized by marked declines in executive function and attention, while memory and language impairments are less pronounced. Severe WMH is associated with greater damage to the anterior horn of the lateral ventricle.

目的：本研究旨在研究白质高强度（WMH）患者的认知功能障碍特征，并比较不同程度的WMH严重程度在认知功能障碍方面的差异。方法：2018年11月至2022年12月，从某医院住院部和门诊部随机招募100名参与者。该队列包括55名患有脑血管疾病（CSVD）的患者和45名没有脑血管疾病的对照组。在CSVD组中，有37人患有WMH。对WMH组和对照组进行认知功能评估，以评估WMH相关认知功能障碍的特征。此外，通过比较不同WMH严重程度患者的认知量表得分和弥散张量成像（DTI）获得的分数各向异性（FA）值，分析认知表现和多脑区病变特征的变化。结果：对照组和CSVD组在年龄、高血压、糖尿病、冠心病、吸烟和体力活动方面存在统计学差异（P ）。结论：WMH患者的认知功能障碍主要表现为执行功能和注意力的明显下降，而记忆和语言障碍则不太明显。严重的WMH与侧脑室前角的更大损伤相关。

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引用次数: 0

A study of magnetic resonance diffusion tensor imaging in the prognostic assessment of severe craniocerebral trauma. 磁共振弥散张量成像在重型颅脑损伤预后评估中的研究。

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

Magnetic resonance imaging

Pub Date : 2025-11-01 Epub Date: 2025-08-05 DOI: 10.1016/j.mri.2025.110481

Xiangzhen Meng

Background: Magnetic resonance diffusion tensor imaging (DTI) is recognized for its diagnostic capabilities in severe craniocerebral trauma but is less explored for its prognostic utility. This study assesses the prognostic value of DTI in predicting outcomes for patients with severe craniocerebral trauma.

Methods: We conducted a retrospective analysis of 125 patients who sustained severe craniocerebral injuries between March 2021 and September 2022. Patients were evaluated 90 days post-injury using the Glasgow Outcome Scale (GOS) and categorized into good (GOS 4-5, n = 74) and poor (GOS 1-3, n = 51) prognosis groups. DTI parameters were analyzed using logistic regression and Receiver Operating Characteristic (ROC) curves to identify prognostic indicators.

Results: No significant demographic differences were observed (P > 0.05); however, significant variances were noted in DTI parameters like ADC and FA, correlating with patient outcomes. Multifactorial analysis highlighted GCS ≤ 4, midline shift ≥5 mm, and ADC ≤ 2.7 × 10^-3 mm²/s as key predictors of poor prognosis.

Discussion: DTI provides valuable insights into the structural impacts of severe craniocerebral trauma, with ADC and FA serving as reliable indicators of prognosis. Identifying these parameters early can guide clinical interventions and potentially improve outcomes, underscoring the need for integrating DTI into routine prognostic assessments.

背景：磁共振弥散张量成像（DTI）因其在严重颅脑创伤中的诊断能力而被公认，但其预后应用却很少被探索。本研究评估DTI在预测严重颅脑损伤患者预后方面的预后价值。方法：对2021年3月至2022年9月期间125例重型颅脑损伤患者进行回顾性分析。采用格拉斯哥预后量表（GOS）对患者损伤后90 天进行评估，分为预后良好（GOS 4-5, n = 74）和预后不良（GOS 1-3, n = 51）组。采用logistic回归和受试者工作特征（ROC）曲线对DTI参数进行分析，以确定预后指标。结果：统计学差异无统计学意义（P > 0.05）；然而，DTI参数（如ADC和FA）与患者预后相关，存在显著差异。多因素分析显示，GCS ≤ 4，中线移位≥5 mm， ADC ≤ 2.7 × 10-3 mm2/s是不良预后的关键预测因子。讨论：DTI为严重颅脑损伤的结构性影响提供了有价值的见解，ADC和FA可作为可靠的预后指标。早期识别这些参数可以指导临床干预并可能改善结果，强调将DTI纳入常规预后评估的必要性。

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引用次数: 0

4D flow MRI of aortic blood flow parameters in healthy volunteers: Sex- and age-specific analysis. 健康志愿者主动脉血流参数的4D血流MRI：性别和年龄特异性分析。

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

Magnetic resonance imaging

Pub Date : 2025-11-01 Epub Date: 2025-08-06 DOI: 10.1016/j.mri.2025.110482

Gyu-Han Lee, Hojin Ha, Kyung Jin Park, Hyun Jung Koo, June-Goo Lee, Hyun Seo Lee, Jong Eun Lee, Dong Hyun Yang, Dae-Hee Kim

Purpose: Four-dimensional (4D) flow MRI enables comprehensive assessment of aortic hemodynamics, but normative values remain limited, especially for Asian populations. This study aimed to establish age- and sex-specific normative values for flow-related parameters in healthy Korean adults.

Methods: Seventy-seven healthy volunteers (aged 20-79 years) underwent 4D flow MRI. Hemodynamic parameters-velocity, viscous energy loss, normalized vorticity, and helicity-were quantified in the ascending aorta (AAo), aortic arch (AoA), and descending aorta (DAo).

Results: Significant sex differences were found for velocity in the AAo (p < 0.001) and viscous energy loss across all segments (p < 0.05), while normalized vorticity and helicity showed no sex-related differences. In viscous energy loss, males had higher values than females in the AAo (2.84 ± 1.05 vs 2.22 ± 0.60 mW, p = 0.017), AoA (0.74 ± 0.37 vs 0.42 ± 0.19 mW, p = 0.001), and DAo (4.78 ± 1.82 vs 3.32 ± 1.55 mW, p = 0.002). Most parameters demonstrated age-related declines, especially in the DAo. Strongest correlations with age were seen for velocity (r = -0.725, p < 0.001) and viscous energy loss (r = -0.745, p < 0.001). Positive helicity showed sex-specific aging trends, with the strongest correlations in the DAo for men and the AoA for women. Negative helicity showed the strongest correlation in the DAo in both sexes.

Conclusions: This study established age- and sex-specific normative values for aortic hemodynamic parameters in healthy Korean adults using 4D flow MRI. While sex differences were limited, most flow parameters declined with age.

目的：四维（4D）血流MRI能够全面评估主动脉血流动力学，但规范值仍然有限，特别是对亚洲人群。本研究旨在建立年龄和性别特异性的韩国健康成人血流相关参数的规范性值。方法：77名健康志愿者（年龄20 ~ 79岁 ）行4D血流MRI检查。对升主动脉（AAo）、主动脉弓（AoA）和降主动脉（DAo）的血流动力学参数——速度、粘性能量损失、归一化涡度和螺旋度进行量化。结论：本研究利用4D血流MRI建立了韩国健康成人主动脉血流动力学参数的年龄和性别特异性规范值。虽然性别差异有限，但大多数流量参数随着年龄的增长而下降。

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引用次数: 0

Fast unconditional diffusion model for accelerated MRI reconstruction 加速MRI重建的快速无条件扩散模型。

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

Magnetic resonance imaging

Pub Date : 2025-10-31 DOI: 10.1016/j.mri.2025.110551

Guijiao Zhao , Chen Zhou , Jianxing Liu , Yue Hu , Peng Li

Accelerated magnetic resonance imaging (MRI) reconstruction from undersampled

k

-space data is a challenging inverse problem that has attracted significant attention in the MRI community. Diffusion models have recently emerged as a promising solution for MRI reconstruction, as they can generate high-quality samples while maintaining sample diversity. However, the inference process of diffusion models is computationally expensive, requiring thousands of steps to ensure the quality of the generated samples, which can take tens of minutes to complete. To address this issue, we propose a novel fast diffusion model for MRI reconstruction, termed FDMR, which aims to accelerate the inference process and improve reconstruction quality. The FDMR framework consists of two main components: the adversarial training of the denoising diffusion GAN and the three-stage inference framework. The adversarial training process is used to train the denoising diffusion GAN with large steps, learning an unconditional diffusion prior and embedding a deep generative prior. The proposed three-stage inference framework includes fast diffusion generation, early stopped deep generative prior adaptation, and diffusion refinement, aiming to accelerate the inference process and improve the reconstruction quality. Extensive experiments demonstrate that FDMR can achieve superior reconstruction accuracy compared to state-of-the-art diffusion methods, yet it operates 4-10 times faster, enabling the reconstruction within just 8 s.

从欠采样k空间数据中加速磁共振成像（MRI）重建是一个具有挑战性的反问题，已经引起了MRI界的极大关注。扩散模型最近成为MRI重建的一种有前途的解决方案，因为它们可以在保持样本多样性的同时生成高质量的样本。然而，扩散模型的推理过程在计算上是昂贵的，需要成千上万的步骤来保证生成的样本的质量，这可能需要几十分钟才能完成。为了解决这一问题，我们提出了一种新的MRI重建快速扩散模型，称为FDMR，旨在加快推理过程，提高重建质量。FDMR框架由两个主要部分组成：去噪扩散GAN的对抗训练和三阶段推理框架。对抗训练过程用于训练大步长的去噪扩散GAN，学习无条件扩散先验并嵌入深度生成先验。提出的三阶段推理框架包括快速扩散生成、早停深度生成先验适应和扩散细化，旨在加快推理过程，提高重构质量。大量的实验表明，与最先进的扩散方法相比，FDMR可以实现更高的重建精度，但它的运行速度要快4-10倍，只需8秒即可实现重建。

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引用次数: 0

Real-time multislice-to-volume motion correction for task-based EPI-fMRI at 7 T 基于任务的EPI-fMRI在7 T时的实时多片-体积运动校正。

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

Magnetic resonance imaging

Pub Date : 2025-10-30 DOI: 10.1016/j.mri.2025.110554

Steven Winata , Daniel Christopher Hoinkiss , Graeme Alexander Keith , Salim al-Wasity , David Andrew Porter

Magnetic resonance imaging (MRI) at ultra-high field strengths such as 7 T unlocks new opportunities. Functional MRI (fMRI) is especially able to benefit due to the increase in the inherent blood‑oxygen-level-dependant (BOLD) signal. In order to utilise this, the higher motion sensitivity at 7 T and various motion sources in fMRI protocols, especially task-based ones, need to be mitigated. This motivated the development of a 7 T implementation of the real-time, prospective Multislice Prospective Acquisition Correction (MS-PACE) technique. MS-PACE allows for a sub-TR, higher temporal resolution motion correction without the need for external tracking equipment. We present an echo-planar imaging (EPI) implementation, evaluated in a 7 T task-based fMRI study. The results show that the technique led to significant, consistent reduction in residual motion across the scanned cohort. An analysis of the temporal SNR of the resting-state scans indicated a general increase in this metric when prospective motion correction was activated. Functional analysis of the data showed an apparent reduction of artefactual activations compared to a standard retrospective motion correction algorithm.

7 T等超高场强的磁共振成像（MRI）带来了新的机遇。由于固有血氧水平依赖性（BOLD）信号的增加，功能性磁共振成像（fMRI）尤其能够受益。为了利用这一点，需要减轻7 T和fMRI协议中各种运动源的较高运动灵敏度，特别是基于任务的运动源。这推动了7 T实现实时、前瞻性多片前瞻性采集校正（MS-PACE）技术的发展。MS-PACE允许在不需要外部跟踪设备的情况下进行子tr，更高时间分辨率的运动校正。我们提出了一种回声平面成像（EPI）的实现，在一项7 T基于任务的fMRI研究中进行了评估。结果表明，该技术在整个扫描队列中导致了显著的、一致的残余运动减少。静息状态扫描的时间信噪比分析表明，当预期运动校正被激活时，该指标普遍增加。数据的功能分析显示，与标准的回顾性运动校正算法相比，人工激活明显减少。

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引用次数: 0

Integration of radiomics, habitat imaging, and deep learning for MRI-based prediction of parametrial invasion in cervical cancer: A dual-center study 放射组学、栖息地成像和深度学习在基于mri的宫颈癌参数浸润预测中的整合：一项双中心研究。

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

Magnetic resonance imaging

Pub Date : 2025-10-30 DOI: 10.1016/j.mri.2025.110542

Yuemei Cui , Ya Li , Jing Na , Junling Lu , Xinyou Wang , Shichao Han , Jun Wang

Objectives

To assess the diagnostic performance of radiomics, habitat imaging, and 2.5D deep learning models for MRI-based prediction of parametrial invasion in cervical cancer, and to evaluate the clinical utility of a multimodal integrated model.

Methods

This dual-center retrospective study included 290 patients with FIGO stage IB1–IIB cervical cancer who underwent preoperative MRI. Patients from Center A (n = 227) were divided into training and validation cohorts, while patients from Center B (n = 63) comprised the external test cohort. Radiomic features were extracted, habitat imaging was performed using k-means clustering, and a 2.5D deep learning model incorporated adjacent slices. Feature selection was conducted using Pearson correlation and LASSO regression. Machine learning models were developed, and an integrated model was constructed. Model performance was evaluated using AUC and accuracy. AUCs were compared with DeLong tests, calibration was assessed with the Hosmer–Lemeshow test, and clinical utility was evaluated with decision curve analysis.

Results

The integrated model outperformed all individual models, achieving AUCs of 0.973, 0.901, and 0.906 in the training, validation, and external test cohorts, respectively. Among individual models, the deep-learning model showed the highest AUCs (0.954, 0.803, 0.833), followed by habitat imaging (0.860, 0.811, 0.843). In the external test cohort, the peritumoral radiomics model outperformed the intratumoral model (0.843 vs. 0.719). The clinical model showed the lowest performance. Hosmer–Lemeshow tests indicated good calibration, and decision curve analysis confirmed superior clinical utility of the integrated model.

Conclusion

The multimodal integrated model, combining radiomics, habitat imaging, 2.5D deep learning, and clinical features, demonstrated superior predictive performance for parametrial invasion in cervical cancer compared with individual models. This approach may enhance preoperative assessment, guide clinical decision-making, and optimize treatment strategies.

目的：评估放射组学、栖息地成像和2.5D深度学习模型在基于mri的宫颈癌参数浸润预测中的诊断性能，并评估多模态集成模型的临床应用价值。方法：本双中心回顾性研究纳入290例FIGO分期IB1-IIB宫颈癌患者，术前行MRI检查。来自A中心的患者（n = 227）分为训练和验证队列，而来自B中心的患者（n = 63）组成外部测试队列。提取放射学特征，使用k-means聚类进行栖息地成像，并结合相邻切片构建2.5D深度学习模型。使用Pearson相关和LASSO回归进行特征选择。建立机器学习模型，构建集成模型。使用AUC和精度评估模型性能。将auc与DeLong试验进行比较，采用Hosmer-Lemeshow试验评估校准，采用决策曲线分析评估临床效用。结果：综合模型优于所有单独模型，在训练、验证和外部测试队列中的auc分别为0.973、0.901和0.906。各模型中，深度学习模型auc最高（0.954、0.803、0.833），其次为生境成像（0.860、0.811、0.843）。在外部测试队列中，肿瘤周围放射组学模型优于肿瘤内模型（0.843比0.719）。临床模型表现最差。Hosmer-Lemeshow试验显示校正效果良好，决策曲线分析证实了该综合模型具有较好的临床应用价值。结论：结合放射组学、栖息地成像、2.5D深度学习和临床特征的多模态集成模型对宫颈癌参数性侵袭的预测效果优于单个模型。该方法可加强术前评估，指导临床决策，优化治疗策略。

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引用次数: 0

Feasibility of MR-tagging to quantify spinal cord motion in degenerative cervical myelopathy 核磁共振标记量化退行性颈椎病脊髓运动的可行性。

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

Magnetic resonance imaging

Pub Date : 2025-10-26 DOI: 10.1016/j.mri.2025.110555

Constantin von Deuster , Georg Wilhelm Kajdi , Shila Pazahr , Nikolai Pfender , Markus Hupp , Armin Curt , Reto Sutter , Daniel Nanz

Background

The aim of this study was to investigate the feasibility of MR-tagging for direct visualization and quantification of pathologically altered spinal-cord motion in patients with cervical spinal stenosis and compare it to the standard approach of phase contrast (PC) imaging.

Methods

In this prospective study, sagittal sections (22 cm field of view) of the cervical spine of nine patients with mono-segmental spinal-canal stenosis were imaged in different heart phases after selective pre-saturation of tissue magnetization in an axially oriented tag-stripe pattern (MR-tagging). Video loops of images acquired in different heart phases were viewed to directly observe and compare head-feet (HF) displacement at the level of the stenosis. The maximum HF displacement of MR-tags in the cord was quantitatively assessed and compared to that derived from integration of PC velocity data.

Results

Regional MR-tag displacement in the spinal cord could successfully be observed in all patients (4 females, 5 males, mean age 57 ± 7 years). Maximum displacement data derived from tagging at the stenosis level correlated excellently (R² = 0.84) with matched measurements from PC imaging.

Conclusion

Without complex post-processing, MR-tag imaging provides an intuitive direct visualization and quantification of pathologically altered spinal-cord motion at the level of cervical stenosis offering a faster alternative to PC imaging in clinical routine.

背景：本研究的目的是探讨核磁共振标记对颈椎管狭窄患者病理改变的脊髓运动的直接可视化和量化的可行性，并将其与标准的相位对比（PC）成像方法进行比较。方法：在这项前瞻性研究中，对9例单节段椎管狭窄患者的颈椎矢状面（22 cm视野）进行轴向标记-条纹模式（MR-tagging）选择性预饱和组织磁化后，在不同的心脏阶段进行成像。观察不同心脏期影像的视频循环，直接观察和比较狭窄水平的头足位移。定量评估了脐带中核磁共振标签的最大高频位移，并与PC速度数据集成得出的位移进行了比较。结果：所有患者（女性4例，男性5例，平均年龄57岁 ± 7 岁）均可成功观察到脊髓局部核磁共振标签移位。狭窄水平标记的最大位移数据与PC成像的匹配测量结果极好地相关（R2 = 0.84）。结论：无需复杂的后处理，磁共振标签成像在颈椎狭窄水平提供了直观的直接可视化和定量病理改变的脊髓运动，在临床常规中提供了比PC成像更快的选择。

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引用次数: 0

Quantitative proton density fat-fraction at 9.4 T using fast spin echo and asymmetric multi-echo gradient-echo pulse sequences 使用快速自旋回波和非对称多回波梯度回波脉冲序列在9.4 T下定量质子密度脂肪分数

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

Magnetic resonance imaging

Pub Date : 2025-10-24 DOI: 10.1016/j.mri.2025.110550

Radim Kořínek, Lucie Krátká, Zenon Starčuk Jr

Purpose

Quantifying proton density fat fraction (PDFF) in small abdominal organs is challenging due to low T₁/T₂ contrast and susceptibility artifacts. We develop a hybrid 7-echo CSE-MRI sequence with arbitrary echo spacing, inspired by GRASE-type imaging, aiming for distortion-free PDFF mapping in small animals. The method is designed to be comparable to established conventional methods, with potential for increased robustness.

Methods

We developed a Fast Spin Echo Asymmetric Bipolar Multi-Gradient Echo (FSE-AbMGE) sequence by integrating a fast spin-echo readout with an asymmetrically placed bipolar multi-echo gradient-echo train. The sequence was implemented at 9.4 T and combined with robust phase unwrapping and water-fat reconstruction algorithms using full fat spectral modeling. Validation was performed using phantoms with known PDFF values (0–22 %) and in vivo experiments on several female mice (n = 2). Reference PDFF values were obtained using single-voxel ¹H-MRS.

Results

The proposed method enabled high-resolution PDFF mapping with minimal chemical shift and susceptibility artifacts. Phantom experiments showed strong agreement with both spectroscopic and ground truth values (R² > 0.98, p < 0.001). The method was also tested in vivo, demonstrating robust water-fat separation and quantification.

Conclusion

The FSE-AbMGE sequence is well-suited for accurate abdominal fat quantification in small animals. While additional validation is needed, especially in reproducibility and broader biological settings, the method shows promise for high-field fat quantification and may offer a framework adaptable to lower-field pre-clinical applications.

目的：由于低T1/T2对比和敏感性伪影，腹部小器官的质子密度脂肪分数（PDFF）的定量具有挑战性。受grase型成像的启发，我们开发了一种具有任意回波间隔的混合7回波CSE-MRI序列，旨在对小动物进行无失真的PDFF成像。该方法的设计可与已建立的常规方法相媲美，具有增强鲁棒性的潜力。方法将快速自旋回波读出与不对称放置的双极多回波梯度回波序列相结合，构建了快速自旋回波非对称双极多回波梯度回波序列。该序列在9.4 T下实现，并结合了健壮的相位展开和使用全脂肪谱建模的水脂肪重建算法。通过已知PDFF值（0 - 22%）的模型和几只雌性小鼠（n = 2）的体内实验进行验证。采用单体素1H-MRS获得参考PDFF值。结果该方法能以最小的化学位移和敏感性伪影实现高分辨率PDFF制图。幻影实验显示与光谱和地面真值非常吻合（R2 > 0.98, p < 0.001）。该方法还在体内进行了测试，证明了稳健的水脂肪分离和定量。结论FSE-AbMGE序列适用于小动物腹部脂肪的精确定量。虽然需要额外的验证，特别是在可重复性和更广泛的生物学环境中，该方法显示出高场脂肪定量的前景，并可能提供一个适用于低场临床前应用的框架。

{"title":"Quantitative proton density fat-fraction at 9.4 T using fast spin echo and asymmetric multi-echo gradient-echo pulse sequences","authors":"Radim Kořínek, Lucie Krátká, Zenon Starčuk Jr","doi":"10.1016/j.mri.2025.110550","DOIUrl":"10.1016/j.mri.2025.110550","url":null,"abstract":"<div><h3><strong>Purpose</strong></h3><div>Quantifying proton density fat fraction (PDFF) in small abdominal organs is challenging due to low <em>T</em><sub>1</sub>/<em>T</em><sub>2</sub> contrast and susceptibility artifacts. We develop a hybrid 7-echo CSE-MRI sequence with arbitrary echo spacing, inspired by GRASE-type imaging, aiming for distortion-free PDFF mapping in small animals. The method is designed to be comparable to established conventional methods, with potential for increased robustness.</div></div><div><h3><strong>Methods</strong></h3><div>We developed a Fast Spin Echo Asymmetric Bipolar Multi-Gradient Echo (FSE-AbMGE) sequence by integrating a fast spin-echo readout with an asymmetrically placed bipolar multi-echo gradient-echo train. The sequence was implemented at 9.4 T and combined with robust phase unwrapping and water-fat reconstruction algorithms using full fat spectral modeling. Validation was performed using phantoms with known PDFF values (0–22 %) and in vivo experiments on several female mice (<em>n</em> = 2). Reference PDFF values were obtained using single-voxel <sup>1</sup>H-MRS.</div></div><div><h3><strong>Results</strong></h3><div>The proposed method enabled high-resolution PDFF mapping with minimal chemical shift and susceptibility artifacts. Phantom experiments showed strong agreement with both spectroscopic and ground truth values (R<sup>2</sup> > 0.98, <em>p</em> < 0.001). The method was also tested in vivo, demonstrating robust water-fat separation and quantification.</div></div><div><h3><strong>Conclusion</strong></h3><div>The FSE-AbMGE sequence is well-suited for accurate abdominal fat quantification in small animals. While additional validation is needed, especially in reproducibility and broader biological settings, the method shows promise for high-field fat quantification and may offer a framework adaptable to lower-field pre-clinical applications.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"125 ","pages":"Article 110550"},"PeriodicalIF":2.0,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145425788","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

The quantitative spatiotemporal relationship of whole brain activity of human brains revealed by fMRI 功能磁共振成像（fMRI）揭示的人类全脑活动定量时空关系

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

Magnetic resonance imaging

Pub Date : 2025-10-24 DOI: 10.1016/j.mri.2025.110552

Jie Huang

It is imperative to study individual brain functioning for understanding the neural bases of individual behavioral and clinical traits. BOLD-fMRI measures the four-dimensional (3 spatial and 1 temporal) neural activity across the entire brain at large-scale systems level. All local activities across the entire brain constitute the whole brain activity and each local activity is a part of that whole brain activity. Unlike a local activity that is characterized by its temporal neural activity, the whole brain activity is characterized by its spatial variation across the entire brain. We present a novel data-driven method to analyze the whole brain activity when performing tasks. The method enabled us to analyze the whole brain activity for each task trial and each individual subject with no requirement of a priori knowledge of task-evoked BOLD response. Our study revealed a quantitative spatiotemporal relationship of the whole brain activity with the local activities. The whole brain activity demonstrated a remarkable dynamic activity that varied from trial to trial when performing the same task repeatedly, showing the importance of analyzing the whole brain activity for investigating the neural bases of personal traits.

研究个体脑功能对于理解个体行为和临床特征的神经基础是必要的。BOLD-fMRI在大尺度系统水平上测量整个大脑的四维（3个空间和1个时间）神经活动。整个大脑的所有局部活动都构成了整个大脑活动，而每个局部活动都是整个大脑活动的一部分。与局部活动以其时间神经活动为特征不同，全脑活动以其在整个大脑中的空间变化为特征。我们提出了一种新的数据驱动方法来分析执行任务时的全脑活动。该方法使我们能够分析每个任务试验和每个个体受试者的整个大脑活动，而不需要对任务诱发的BOLD反应有先验知识。我们的研究揭示了全脑活动与局部活动的定量时空关系。在重复执行相同的任务时，全脑活动表现出显著的动态变化，表明分析全脑活动对于研究个人特征的神经基础的重要性。

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引用次数: 0