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Stop moving: MR motion correction as an opportunity for artificial intelligence 停止运动磁共振运动校正是人工智能的机遇
IF 2.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-02-22 DOI: 10.1007/s10334-023-01144-5
Zijian Zhou, Peng Hu, Haikun Qi

Subject motion is a long-standing problem of magnetic resonance imaging (MRI), which can seriously deteriorate the image quality. Various prospective and retrospective methods have been proposed for MRI motion correction, among which deep learning approaches have achieved state-of-the-art motion correction performance. This survey paper aims to provide a comprehensive review of deep learning-based MRI motion correction methods. Neural networks used for motion artifacts reduction and motion estimation in the image domain or frequency domain are detailed. Furthermore, besides motion-corrected MRI reconstruction, how estimated motion is applied in other downstream tasks is briefly introduced, aiming to strengthen the interaction between different research areas. Finally, we identify current limitations and point out future directions of deep learning-based MRI motion correction.

受体运动是磁共振成像(MRI)的一个老大难问题,会严重影响图像质量。目前已经提出了多种前瞻性和回顾性的磁共振成像运动校正方法,其中深度学习方法已经取得了最先进的运动校正性能。本文旨在对基于深度学习的磁共振成像运动校正方法进行全面综述。文中详细介绍了在图像域或频域中用于减少运动伪影和运动估计的神经网络。此外,除了运动校正核磁共振成像重建,本文还简要介绍了如何将运动估计应用于其他下游任务,旨在加强不同研究领域之间的互动。最后,我们指出了基于深度学习的磁共振成像运动校正目前存在的局限性,并指出了未来的发展方向。
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引用次数: 0
Multi-target field control for matrix gradient coils 矩阵梯度线圈的多目标场控制
IF 2.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-02-22 DOI: 10.1007/s10334-023-01143-6
Hongyan He, Shufeng Wei, Huixian Wang, Wenhui Yang

Objective

Conventional single-target field control for matrix gradient coils will add control complexity in MRI spatial encoding, such as designing specialized fields and sequences. This complexity can be reduced by multi-target field control, which is realized by optimizing the coil structure according to target fields.

Methods

Based on the principle of multi-target field control, the X, Y and Z gradient fields can be set as target fields, and all coil elements can then be divided into three groups to generate these fields. An improved simulated annealing algorithm is proposed to optimize the coil element distribution of each group to generate the corresponding target field. In the improved simulated annealing process, two swapping modes are presented, and randomly selected with certain probabilities that are set to 0.25, 0.5 and 0.75, respectively. The flexibility of the final designed structure is demonstrated by a spherical harmonic basis up to the full second order with single-target field control. An experimental platform is built to measure the gradient fields generated by the designed structure with multi-target target control.

Results

With three probabilities of swapping modes, three similar coil element distributions are optimized, and their maximum magnetic field errors for generating X, Y and Z gradients are all below 5%. The structure selected for the final design is the one with a probability of 0.75, considering the coil performance and structural symmetry. The maximum error for all target fields generated by single-target field control is also below 5%. The experimental results show that the measured gradient fields along the axes have enough strength and high linearity.

Conclusions

With the proposed improved simulated annealing algorithm and swapping modes, multi-target field control for matrix gradient coils is verified and achieved in this study by optimizing the coil element distribution. Moreover, this study provides a solution to simplify the complexity of controlling the matrix gradient coil in spatial encoding.

目的传统的矩阵梯度线圈单目标场控制会增加磁共振成像空间编码的控制复杂性,如设计专门的场和序列。方法基于多目标场控制原理,可将 X、Y 和 Z 梯度场设定为目标场,然后将所有线圈元件分为三组,以产生这些场。本文提出了一种改进的模拟退火算法,用于优化每组线圈元件的分布,以产生相应的目标场。在改进的模拟退火过程中,提出了两种交换模式,并以一定的概率随机选择,概率分别设置为 0.25、0.5 和 0.75。最终设计结构的灵活性通过球形谐波基达到全二阶单目标场控制得到了证明。建立了一个实验平台,用于测量设计结构在多目标控制下产生的梯度场。结果在三种交换模式概率下,优化了三种相似的线圈元件分布,其产生 X、Y 和 Z 梯度的最大磁场误差均低于 5%。考虑到线圈性能和结构对称性,最终设计选择了概率为 0.75 的结构。单目标场控制产生的所有目标场的最大误差也低于 5%。实验结果表明,测得的沿轴向梯度场具有足够的强度和较高的线性度。结论本研究利用提出的改进模拟退火算法和交换模式,通过优化线圈元件分布,验证并实现了矩阵梯度线圈的多目标场控制。此外,本研究还为简化空间编码中矩阵梯度线圈控制的复杂性提供了一种解决方案。
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引用次数: 0
Improved reconstruction for highly accelerated propeller diffusion 1.5 T clinical MRI 1.5 T 临床磁共振成像高度加速螺旋桨扩散的改进重构
IF 2.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-02-22 DOI: 10.1007/s10334-023-01142-7
Uten Yarach, Itthi Chatnuntawech, Kawin Setsompop, Atita Suwannasak, Salita Angkurawaranon, Chakri Madla, Charuk Hanprasertpong, Prapatsorn Sangpin

Purpose

Propeller fast-spin-echo diffusion magnetic resonance imaging (FSE-dMRI) is essential for the diagnosis of Cholesteatoma. However, at clinical 1.5 T MRI, its signal-to-noise ratio (SNR) remains relatively low. To gain sufficient SNR, signal averaging (number of excitations, NEX) is usually used with the cost of prolonged scan time. In this work, we leveraged the benefits of Locally Low Rank (LLR) constrained reconstruction to enhance the SNR. Furthermore, we enhanced both the speed and SNR by employing Convolutional Neural Networks (CNNs) for the accelerated PROPELLER FSE-dMRI on a 1.5 T clinical scanner.

Methods

Residual U-Net (RU-Net) was found to be efficient for propeller FSE-dMRI data. It was trained to predict 2-NEX images obtained by Locally Low Rank (LLR) constrained reconstruction and used 1-NEX images obtained via simplified reconstruction as the inputs. The brain scans from healthy volunteers and patients with cholesteatoma were performed for model training and testing. The performance of trained networks was evaluated with normalized root-mean-square-error (NRMSE), structural similarity index measure (SSIM), and peak SNR (PSNR).

Results

For 4 × under-sampled with 7 blades data, online reconstruction appears to provide suboptimal images—some small details are missing due to high noise interferences. Offline LLR enables suppression of noises and discovering some small structures. RU-Net demonstrated further improvement compared to LLR by increasing 18.87% of PSNR, 2.11% of SSIM, and reducing 53.84% of NRMSE. Moreover, RU-Net is about 1500 × faster than LLR (0.03 vs. 47.59 s/slice).

Conclusion

The LLR remarkably enhances the SNR compared to online reconstruction. Moreover, RU-Net improves propeller FSE-dMRI as reflected in PSNR, SSIM, and NRMSE. It requires only 1-NEX data, which allows a 2 × scan time reduction. In addition, its speed is approximately 1500 times faster than that of LLR-constrained reconstruction.

目的螺旋桨快速自旋回波弥散磁共振成像(FSE-dMRI)对胆脂瘤的诊断至关重要。然而,在临床 1.5 T 磁共振成像中,其信噪比(SNR)仍然相对较低。为了获得足够的信噪比,通常会使用信号平均(激发次数,NEX),但代价是延长扫描时间。在这项工作中,我们利用局部低秩重构(LLR)的优势来提高信噪比。此外,我们还在 1.5 T 临床扫描仪上使用卷积神经网络(CNN)来加速螺旋桨 FSE-dMRI 扫描,从而提高了扫描速度和信噪比。训练该网络预测通过局部低秩 (LLR) 约束重建获得的 2-NEX 图像,并使用通过简化重建获得的 1-NEX 图像作为输入。对健康志愿者和胆脂瘤患者的脑部扫描进行了模型训练和测试。用归一化均方根误差(NRMSE)、结构相似性指数(SSIM)和峰值 SNR(PSNR)评估了训练网络的性能。离线 LLR 可以抑制噪声并发现一些小结构。与 LLR 相比,RU-Net 的 PSNR 提高了 18.87%,SSIM 提高了 2.11%,NRMSE 降低了 53.84%,显示出进一步的改进。此外,RU-Net 比 LLR 快约 1500 倍(0.03 对 47.59 秒/片)。此外,RU-Net 在 PSNR、SSIM 和 NRMSE 方面也改善了螺旋桨 FSE-dMRI。它只需要 1-NEX 数据,扫描时间缩短了 2 倍。此外,其速度比 LLR 约束重建快约 1500 倍。
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引用次数: 0
Late/delayed gadolinium enhancement in MRI after intravenous administration of extracellular gadolinium-based contrast agents: is it worth waiting? 静脉注射细胞外钆基造影剂后核磁共振成像中的钆增强延迟/延迟:值得等待吗?
IF 2.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-02-22 DOI: 10.1007/s10334-024-01151-0
Marco Parillo, Carlo Augusto Mallio, Ilona A. Dekkers, Àlex Rovira, Aart J. van der Molen, Carlo Cosimo Quattrocchi

The acquisition of images minutes or even hours after intravenous extracellular gadolinium-based contrast agents (GBCA) administration (“Late/Delayed Gadolinium Enhancement” imaging; in this review, further termed LGE) has gained significant prominence in recent years in magnetic resonance imaging. The major limitation of LGE is the long examination time; thus, it becomes necessary to understand when it is worth waiting time after the intravenous injection of GBCA and which additional information comes from LGE. LGE can potentially be applied to various anatomical sites, such as heart, arterial vessels, lung, brain, abdomen, breast, and the musculoskeletal system, with different pathophysiological mechanisms. One of the most popular clinical applications of LGE regards the assessment of myocardial tissue thanks to its ability to highlight areas of acute myocardial damage and fibrotic tissues. Other frequently applied clinical contexts involve the study of the urinary tract with magnetic resonance urography and identifying pathological abdominal processes characterized by high fibrous stroma, such as biliary tract tumors, autoimmune pancreatitis, or intestinal fibrosis in Crohn’s disease. One of the current areas of heightened research interest revolves around the possibility of non-invasively studying the dynamics of neurofluids in the brain (the glymphatic system), the disruption of which could underlie many neurological disorders.

在静脉注射细胞外钆基造影剂(GBCA)数分钟甚至数小时后获取图像("晚期/延迟钆增强 "成像;在本综述中,进一步称为 LGE),近年来在磁共振成像中获得了极大的重视。LGE 的主要局限是检查时间较长;因此,有必要了解在静脉注射 GBCA 后何时值得等待,以及 LGE 能提供哪些额外信息。LGE 可应用于不同的解剖部位,如心脏、动脉血管、肺、脑、腹部、乳房和肌肉骨骼系统,并具有不同的病理生理机制。LGE 最受欢迎的临床应用之一是评估心肌组织,因为它能突出显示急性心肌损伤区域和纤维组织。其他常用的临床应用包括利用磁共振尿路造影术研究泌尿道,以及识别以高纤维基质为特征的腹部病理过程,如胆道肿瘤、自身免疫性胰腺炎或克罗恩病的肠纤维化。目前最受关注的研究领域之一是对大脑神经流体(glymphatic 系统)的动态进行无创研究的可能性。
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引用次数: 0
Dynamics of γ-aminobutyric acid concentration in the human brain in response to short visual stimulation. 短时视觉刺激下人脑中γ-氨基丁酸浓度的动态变化。
IF 2.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-02-01 Epub Date: 2023-09-16 DOI: 10.1007/s10334-023-01118-7
Alexey Yakovlev, Alexandra Gritskova, Andrei Manzhurtsev, Maxim Ublinskiy, Petr Menshchikov, Anatoly Vanin, Dmitriy Kupriyanov, Tolib Akhadov, Natalia Semenova

Objective: To find a possible quantitative relation between activation-induced fast (< 10 s) changes in the γ-aminobutyric acid (GABA) level and the amplitude of a blood oxygen level-dependent contrast (BOLD) response (according to magnetic resonance spectroscopy [MRS] and functional magnetic resonance imaging [fMRI]).

Materials and methods: fMRI data and MEGA-PRESS magnetic resonance spectra [echo time (TE)/repetition time (TR) = 68 ms/1500 ms] of an activated area in the visual cortex of 33 subjects were acquired using a 3 T MR scanner. Stimulation was performed by presenting an image of a flickering checkerboard for 3 s, repeated with an interval of 13.5 s. The time course of GABA and creatine (Cr) concentrations and the width and height of resonance lines were obtained with a nominal time resolution of 1.5 s. Changes in the linewidth and height of n-acetylaspartate (NAA) and Cr signals were used to determine the BOLD effect.

Results: In response to the activation, the BOLD-corrected GABA + /Cr ratio increased by 5.0% (q = 0.027) and 3.8% (q = 0.048) at 1.6 and 3.1 s, respectively, after the start of the stimulus. Time courses of Cr and NAA signal width and height reached a maximum change at the 6th second (~ 1.2-1.5%, q < 0.05).

Conclusion: The quick response of the observed GABA concentration to the short stimulus is most likely due to a release of GABA from vesicles followed by its packaging back into vesicles.

目的材料与方法:使用 3 T 磁共振扫描仪获取 33 名受试者视觉皮层激活区域的 fMRI 数据和 MEGA-PRESS 磁共振频谱[回波时间(TE)/重复时间(TR)= 68 ms/1500 ms]。GABA 和肌酸(Cr)浓度的时间过程以及共振线的宽度和高度均以 1.5 秒的标称时间分辨率获得。N-乙酰天冬氨酸(NAA)和 Cr 信号线宽和高度的变化用于确定 BOLD 效应:结果:刺激开始后 1.6 秒和 3.1 秒,BOLD 校正 GABA + /Cr 比率分别增加了 5.0% (q = 0.027) 和 3.8% (q=0.048)。Cr 和 NAA 信号宽度和高度的时间进程在第 6 秒达到最大变化(约 1.2-1.5%,q 结论):观察到的 GABA 浓度对短时刺激的快速反应很可能是由于 GABA 从囊泡中释放,然后又被包裹回囊泡中。
{"title":"Dynamics of γ-aminobutyric acid concentration in the human brain in response to short visual stimulation.","authors":"Alexey Yakovlev, Alexandra Gritskova, Andrei Manzhurtsev, Maxim Ublinskiy, Petr Menshchikov, Anatoly Vanin, Dmitriy Kupriyanov, Tolib Akhadov, Natalia Semenova","doi":"10.1007/s10334-023-01118-7","DOIUrl":"10.1007/s10334-023-01118-7","url":null,"abstract":"<p><strong>Objective: </strong>To find a possible quantitative relation between activation-induced fast (< 10 s) changes in the γ-aminobutyric acid (GABA) level and the amplitude of a blood oxygen level-dependent contrast (BOLD) response (according to magnetic resonance spectroscopy [MRS] and functional magnetic resonance imaging [fMRI]).</p><p><strong>Materials and methods: </strong>fMRI data and MEGA-PRESS magnetic resonance spectra [echo time (TE)/repetition time (TR) = 68 ms/1500 ms] of an activated area in the visual cortex of 33 subjects were acquired using a 3 T MR scanner. Stimulation was performed by presenting an image of a flickering checkerboard for 3 s, repeated with an interval of 13.5 s. The time course of GABA and creatine (Cr) concentrations and the width and height of resonance lines were obtained with a nominal time resolution of 1.5 s. Changes in the linewidth and height of n-acetylaspartate (NAA) and Cr signals were used to determine the BOLD effect.</p><p><strong>Results: </strong>In response to the activation, the BOLD-corrected GABA + /Cr ratio increased by 5.0% (q = 0.027) and 3.8% (q = 0.048) at 1.6 and 3.1 s, respectively, after the start of the stimulus. Time courses of Cr and NAA signal width and height reached a maximum change at the 6th second (~ 1.2-1.5%, q < 0.05).</p><p><strong>Conclusion: </strong>The quick response of the observed GABA concentration to the short stimulus is most likely due to a release of GABA from vesicles followed by its packaging back into vesicles.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"39-51"},"PeriodicalIF":2.3,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10321856","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
New clinical opportunities of low-field MRI: heart, lung, body, and musculoskeletal. 低场MRI的新临床机会:心脏、肺、身体和肌肉骨骼。
IF 2.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-02-01 Epub Date: 2023-10-30 DOI: 10.1007/s10334-023-01123-w
Ye Tian, Krishna S Nayak

Contemporary whole-body low-field MRI scanners (< 1 T) present new and exciting opportunities for improved body imaging. The fundamental reason is that the reduced off-resonance and reduced SAR provide substantially increased flexibility in the design of MRI pulse sequences. Promising body applications include lung parenchyma imaging, imaging adjacent to metallic implants, cardiac imaging, and dynamic imaging in general. The lower cost of such systems may make MRI favorable for screening high-risk populations and population health research, and the more open configurations allowed may prove favorable for obese subjects and for pregnant women. This article summarizes promising body applications for contemporary whole-body low-field MRI systems, with a focus on new platforms developed within the past 5 years. This is an active area of research, and one can expect many improvements as MRI physicists fully explore the landscape of pulse sequences that are feasible, and as clinicians apply these to patient populations.

当代全身低场MRI扫描仪(
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引用次数: 0
A reproducibility study of knee cartilage volume and thickness values derived by fully automatic segmentation based on three-dimensional dual-echo in steady state data from 1.5 T and 3 T magnetic resonance imaging. 基于1.5T和3T磁共振成像的稳态三维双回波数据,通过全自动分割获得的膝关节软骨体积和厚度值的再现性研究。
IF 2.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-02-01 Epub Date: 2023-10-10 DOI: 10.1007/s10334-023-01122-x
Ranxu Zhang, Xiaoyue Zhou, Esther Raithel, Congcong Ren, Ping Zhang, Junfei Li, Lin Bai, Jian Zhao

Objective: To evaluate the repeatability of cartilage volume and thickness values at 1.5 T MRI using a fully automatic cartilage segmentation method and reproducibility of the method between 1.5 T and 3 T data.

Methods: The study included 20 knee joints from 10 healthy subjects with each subject having undergone double-knee MRI. All knees were scanned at 1.5 T and 3 T MR scanners using a three-dimensional (3D) high-resolution dual-echo in steady state (DESS) sequence. Cartilage volume and thickness of 21 subregions were quantified using a fully automatic cartilage segmentation research application (MR Chondral Health, version 3.0, Siemens Healthcare, Erlangen, Germany). The volume and thickness values derived from fully automatically computed segmentation masks were analyzed for the scan-rescan data from the same volunteers. The accuracy of the automatic segmentation of the cartilage in 1.5 T images was evaluated by the dice similarity coefficient (DSC) and Hausdorff distance (HD) using the manually corrected segmentation as a reference. The volume and thickness values calculated from 1.5 T and 3 T were also compared.

Results: No statistically significant differences were found for cartilage thickness or volume across all subregions between the scan-rescanned data at 1.5 T (P > 0.05). The mean DSC between the fully automatic and manually corrected knee cartilage segmentation contours at 1.5 T was 0.9946. The average value of HD was 2.41 mm. Overall, there was no statistically significant difference in the cartilage volume or thickness in most-subregions between the two field strengths (P > 0.05) except for the medial region of femur and tibia. Bland-Altman plot and intraclass correlation coefficient (ICC) showed high consistency between results obtained based on same and different scanning sequences.

Conclusion: The cartilage segmentation software had high repeatability for DESS images obtained from the same device. In addition, the overall reproducibility of the images obtained from equipment of two different field strengths was satisfactory.

目的:使用全自动软骨分割方法评估1.5T MRI软骨体积和厚度值的可重复性,以及该方法在1.5T和3T数据之间的再现性。方法:本研究包括10名健康受试者的20个膝关节,每个受试者都接受了双膝MRI检查。使用三维(3D)高分辨率稳态双回波(DESS)序列在1.5T和3T MR扫描仪上扫描所有膝盖。使用全自动软骨分割研究应用程序(MR Chondral Health,3.0版,Siemens Healthcare,Erlangen,Germany)对21个亚区域的软骨体积和厚度进行量化。针对来自相同志愿者的扫描重新扫描数据,分析从完全自动计算的分割掩模导出的体积和厚度值。使用手动校正的分割作为参考,通过骰子相似系数(DSC)和豪斯多夫距离(HD)来评估1.5T图像中软骨的自动分割的准确性。还比较了由1.5T和3T计算的体积和厚度值。结果:在1.5T的扫描重扫描数据之间,所有亚区域的软骨厚度或体积没有统计学上的显著差异(P > 0.05)。在1.5T下,全自动和手动校正的膝关节软骨分割轮廓之间的平均DSC为0.9946。HD的平均值为2.41mm。总体而言,两种场强在大多数亚区域的软骨体积或厚度上没有统计学上的显著差异(P > 0.05),但股骨和胫骨的内侧区域除外。Bland-Altman图和组内相关系数(ICC)显示了基于相同和不同扫描序列获得的结果之间的高度一致性。结论:软骨分割软件对同一设备上获得的DESS图像具有较高的重复性。此外,从具有两种不同场强的设备获得的图像的总体再现性是令人满意的。
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引用次数: 0
Detection of hypoplastic left heart syndrome anatomy from cardiovascular magnetic resonance images using machine learning. 利用机器学习从心血管磁共振图像中检测左心发育不全综合征的解剖结构。
IF 2.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-02-01 Epub Date: 2024-01-12 DOI: 10.1007/s10334-023-01124-9
Dominik Daniel Gabbert, Lennart Petersen, Abigail Burleigh, Simona Boroni Grazioli, Sylvia Krupickova, Reinhard Koch, Anselm Sebastian Uebing, Monty Santarossa, Inga Voges

Objective: The prospect of being able to gain relevant information from cardiovascular magnetic resonance (CMR) image analysis automatically opens up new potential to assist the evaluating physician. For machine-learning-based classification of complex congenital heart disease, only few studies have used CMR.

Materials and methods: This study presents a tailor-made neural network architecture for detection of 7 distinctive anatomic landmarks in CMR images of patients with hypoplastic left heart syndrome (HLHS) in Fontan circulation or healthy controls and demonstrates the potential of the spatial arrangement of the landmarks to identify HLHS. The method was applied to the axial SSFP CMR scans of 46 patients with HLHS and 33 healthy controls.

Results: The displacement between predicted and annotated landmark had a standard deviation of 8-17 mm and was larger than the interobserver variability by a factor of 1.1-2.0. A high overall classification accuracy of 98.7% was achieved.

Discussion: Decoupling the identification of clinically meaningful anatomic landmarks from the actual classification improved transparency of classification results. Information from such automated analysis could be used to quickly jump to anatomic positions and guide the physician more efficiently through the analysis depending on the detected condition, which may ultimately improve work flow and save analysis time.

目的:从心血管磁共振(CMR)图像分析中自动获取相关信息的前景为协助医生进行评估提供了新的可能。对于基于机器学习的复杂先天性心脏病分类,只有少数研究使用了 CMR:本研究提出了一种量身定制的神经网络架构,用于检测丰坦循环下左心发育不全综合征(HLHS)患者或健康对照组 CMR 图像中的 7 个独特解剖标志,并展示了标志的空间排列在识别 HLHS 方面的潜力。该方法应用于 46 名 HLHS 患者和 33 名健康对照者的轴向 SSFP CMR 扫描:结果:预测地标与注释地标之间的位移标准偏差为 8-17 毫米,比观察者之间的变异大 1.1-2.0 倍。总体分类准确率高达 98.7%:讨论:将具有临床意义的解剖标志物的识别与实际分类分离,提高了分类结果的透明度。这种自动分析的信息可用于快速跳转到解剖位置,并根据检测到的情况指导医生更有效地进行分析,最终可改善工作流程并节省分析时间。
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引用次数: 0
Subject-specific timing adaption in time-encoded arterial spin labeling imaging. 时间编码动脉旋转标记成像中的受试者特定时间适应。
IF 2.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-02-01 Epub Date: 2023-09-28 DOI: 10.1007/s10334-023-01121-y
Nora-Josefin Breutigam, Daniel Christopher Hoinkiss, Simon Konstandin, Mareike Alicja Buck, Amnah Mahroo, Klaus Eickel, Federico von Samson-Himmelstjerna, Matthias Günther

Objectives: One challenge in arterial spin labeling (ASL) is the high variability of arterial transit times (ATT), which causes associated arterial transit delay (ATD) artifacts. In patients with pathological changes, these artifacts occur when post-labeling delay (PLD) and bolus durations are not optimally matched to the subject, resulting in difficult quantification of cerebral blood flow (CBF) and ATT. This is also true for the free lunch approach in Hadamard-encoded pseudocontinuous ASL (H-pCASL).

Material and methods: Five healthy volunteers were scanned with a 3 T MR-system. pCASL-subbolus timing was adjusted individually by the developed adaptive Walsh-ordered pCASL sequence and an automatic feedback algorithm. The quantification results for CBF and ATT and the respective standard deviations were compared with results obtained using recommended timings and intentionally suboptimal timings.

Results: The algorithm individually adjusted the pCASL-subbolus PLD for each subject within the range of recommended timing for healthy subjects, with a mean intra-subject adjustment deviation of 47.15 ms for single-shot and 44.5 ms for segmented acquisition in three repetitions.

Discussion: A first positive assessment of the results was performed on healthy volunteers. The extent to which the results can be transferred to patients and are of benefit must be investigated in follow-up studies.

目的:动脉旋转标记(ASL)的一个挑战是动脉传输时间(ATT)的高度可变性,这会导致相关的动脉传输延迟(ATD)伪影。在有病理变化的患者中,当标记后延迟(PLD)和推注持续时间与受试者不最佳匹配时,就会出现这些伪影,导致难以量化脑血流量(CBF)和ATT。Hadamard编码的伪连续性ASL(H-CASL)的免费午餐方法也是如此。材料和方法:用3T MR系统对五名健康志愿者进行扫描。pCASL子极点定时通过所开发的自适应Walsh有序pCASL序列和自动反馈算法单独调整。将CBF和ATT的量化结果以及各自的标准偏差与使用推荐时间和有意次优时间获得的结果进行比较。结果:该算法在健康受试者的推荐时间范围内单独调整了每个受试者中pCASL亚峰PLD,单次拍摄的受试者内平均调整偏差为47.15 ms,三次重复的分段采集的受试器内平均调整误差为44.5 ms。讨论:对健康志愿者进行了第一次积极评估。必须在后续研究中调查结果能在多大程度上传递给患者并对其有益。
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引用次数: 0
First implementation of dynamic oxygen-17 (17O) magnetic resonance imaging at 7 Tesla during neuronal stimulation in the human brain. 在人脑神经元刺激过程中,首次在7特斯拉下实现动态氧-17(17O)磁共振成像。
IF 2.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-02-01 Epub Date: 2023-09-22 DOI: 10.1007/s10334-023-01119-6
Louise Ebersberger, Fabian J Kratzer, Vanessa L Franke, Armin M Nagel, Sebastian C Niesporek, Andreas Korzowski, Mark E Ladd, Heinz-Peter Schlemmer, Daniel Paech, Tanja Platt

Objective: First implementation of dynamic oxygen-17 (17O) MRI at 7 Tesla (T) during neuronal stimulation in the human brain.

Methods: Five healthy volunteers underwent a three-phase 17O gas (17O2) inhalation experiment. Combined right-side visual stimulus and right-hand finger tapping were used to achieve neuronal stimulation in the left cerebral hemisphere. Data analysis included the evaluation of the relative partial volume (PV)-corrected time evolution of absolute 17O water (H217O) concentration and of the relative signal evolution without PV correction. Statistical analysis was performed using a one-tailed paired t test. Blood oxygen level-dependent (BOLD) experiments were performed to validate the stimulation paradigm.

Results: The BOLD maps showed significant activity in the stimulated left visual and sensorimotor cortex compared to the non-stimulated right side. PV correction of 17O MR data resulted in high signal fluctuations with a noise level of 10% due to small regions of interest (ROI), impeding further quantitative analysis. Statistical evaluation of the relative H217O signal with PV correction (p = 0.168) and without (p = 0.382) did not show significant difference between the stimulated left and non-stimulated right sensorimotor ROI.

Discussion: The change of cerebral oxygen metabolism induced by sensorimotor and visual stimulation is not large enough to be reliably detected with the current setup and methodology of dynamic 17O MRI at 7 T.

目的:首次在人脑神经元刺激过程中实现7特斯拉(T)的动态氧-17(17O)MRI。方法:对5名健康志愿者进行三相17O气体(17O2)吸入实验。采用右侧视觉刺激和右手手指敲击相结合的方法来实现对左大脑半球的神经元刺激。数据分析包括评估17O水(H217O)绝对浓度的相对部分体积(PV)校正的时间演变和没有PV校正的相对信号演变。使用单尾配对t检验进行统计分析。进行血氧水平依赖性(BOLD)实验以验证刺激模式。结果:与未受刺激的右侧相比,BOLD图显示受刺激的左侧视觉和感觉运动皮层有显著的活动。由于感兴趣的小区域(ROI),17O MR数据的PV校正导致高信号波动,噪声水平为10%,阻碍了进一步的定量分析。用PV校正对相对H217O信号的统计评估(p = 0.168)和不含(p = 0.382)在刺激的左侧和非刺激的右侧感觉运动ROI之间没有显示出显著差异。
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Magnetic Resonance Materials in Physics, Biology and Medicine
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