Magnetic Resonance Materials in Physics, Biology and Medicine最新文献_第5页

Enhancing SNR in MRI at 7T using wearable coils, dielectric resonators, and dipole antennas. 使用可穿戴线圈、介电谐振器和偶极子天线增强7T时MRI的信噪比。

IF 3.1 4区医学

Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2026-08-01 Epub Date: 2026-01-20 DOI: 10.1007/s10334-026-01323-0

Daniel Wenz, Jules Vliem, Elizaveta Shegurova, Mark Widmaier, Lijing Xin, Dimitrios C Karampinos, Irena Zivkovic

{"title":"Enhancing SNR in MRI at 7T using wearable coils, dielectric resonators, and dipole antennas.","authors":"Daniel Wenz, Jules Vliem, Elizaveta Shegurova, Mark Widmaier, Lijing Xin, Dimitrios C Karampinos, Irena Zivkovic","doi":"10.1007/s10334-026-01323-0","DOIUrl":"10.1007/s10334-026-01323-0","url":null,"abstract":"Motivation: The twisted-pair (TP) coil design is a promising strategy for developing novel, flexible, wearable MRI detectors that can provide SNR gains in various clinical applications of high-field MRI. We hypothesize that the TP coil's receive (Rx) sensitivity can be significantly increased by combining it with two complementary elements, such as dielectric resonators (DRs) and dipole antennas.Methods: TP coils were combined with DRs made of high-permittivity material (εr = 1070) and transceiver (TxRx) dipole antennas. The Tx and Rx performance of six different types of arrays (TP-only, dipole-only, TP with DRs, dipole with DRs, dipole with TPs, and dipole with TPs and DRs) was investigated through numerical simulations involving a cylindrical phantom suitable for lower extremity applications and two human voxel models. MR phantom experiments were conducted using a 7 Tesla whole-body MRI scanner to validate the Tx and Rx performance of all six array types.Results: The array combining all three types of elements (TP coils, DRs, and dipole antennas) provided the highest overall Rx performance; MR phantom experiments showed that integrating DRs with TP coils increased peripheral SNR by 250% and central SNR by 23% (for a total 38% gain in the center when also using dipole antennas in Rx). Human voxel model simulations confirmed that similar SNR gains can be achieved in vivo. Integrating DRs into TP coils also increased central Tx field efficiency by 4.6% and reduced the peak SAR10g by 25.8% in the human voxel model Hugo.Conclusion: DRs and dipole antennas can significantly improve the overall Rx performance of TP coils. This concept can benefit MRI of the human lower extremity at 7 Tesla and encourage exploration of its utility for other clinical applications.","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"571-582"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13447474/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146011036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

In-cell NMR spectroscopy: advancements, applications, challenges, and future directions in structural biology. 细胞内核磁共振波谱：结构生物学的进展、应用、挑战和未来方向。

IF 3.1 4区医学

Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2026-08-01 Epub Date: 2025-12-22 DOI: 10.1007/s10334-025-01313-8

Omar Eladl

{"title":"In-cell NMR spectroscopy: advancements, applications, challenges, and future directions in structural biology.","authors":"Omar Eladl","doi":"10.1007/s10334-025-01313-8","DOIUrl":"10.1007/s10334-025-01313-8","url":null,"abstract":"In-cell nuclear magnetic resonance (NMR) spectroscopy has emerged as a leading technique in structural biology, providing atomic-level insights into the structures, dynamics, and interactions of biomolecules within their native cellular environments. By bridging the gap between conventional in vitro studies and the complexity of living systems, in-cell NMR enables direct observation of biomolecular behavior under near-physiological conditions. This review highlights recent methodological advances that have expanded the scope and feasibility of in-cell NMR. Innovations in isotopic labeling, including selective incorporation strategies, have enhanced spectral resolution and sensitivity. Optimized delivery approaches, such as microinjection and electroporation, facilitate efficient introduction of labeled biomolecules into diverse cell types. The use of cryogenically cooled probes and high-field magnets further improves signal detection, enabling the study of low-abundance targets. We discuss key applications, including protein folding, conformational dynamics, biomolecular interaction networks, and nucleic acid structural rearrangements. In addition, in-cell NMR has proven invaluable for drug discovery, providing mechanistic insights into intracellular drug-target interactions. Despite these advances, challenges remain, including spectral overlap from endogenous components, low intracellular concentrations, and maintaining cell viability during extended experiments. Future developments integrating cryo-electron microscopy (cryo-EM), mass spectrometry (MS), hyperpolarization techniques, and advanced labeling strategies promise to enhance sensitivity, resolution, and applicability, solidifying in-cell NMR as an indispensable tool for probing biomolecular function in living cells.","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"545-558"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145804935","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

Influence of co-registration on lesion characterization in diffusion-weighted breast MRI. 乳腺弥散加权MRI共配准对病变特征的影响。

IF 3.1 4区医学

Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2026-08-01 Epub Date: 2026-01-31 DOI: 10.1007/s10334-026-01324-z

Luise Brock, Andrzej Liebert, Hannes Schreiter, Dominika Skwierawska, Chris Ehring, Jessica Eberle, Shirin Heidarikahkesh, Frederik Bernd Laun, Michael Uder, Lorenz Kapsner, Judith Lach, Evelyn Wenkel, Sabine Ohlmeyer, Dominique Hadler, Florian Knoll, Sebastian Bickelhaupt

{"title":"Influence of co-registration on lesion characterization in diffusion-weighted breast MRI.","authors":"Luise Brock, Andrzej Liebert, Hannes Schreiter, Dominika Skwierawska, Chris Ehring, Jessica Eberle, Shirin Heidarikahkesh, Frederik Bernd Laun, Michael Uder, Lorenz Kapsner, Judith Lach, Evelyn Wenkel, Sabine Ohlmeyer, Dominique Hadler, Florian Knoll, Sebastian Bickelhaupt","doi":"10.1007/s10334-026-01324-z","DOIUrl":"10.1007/s10334-026-01324-z","url":null,"abstract":"Objective: To evaluate if co-registering Diffusion-Weighted Imaging (DWI) before generating Apparent Diffusion Coefficient (ADC) maps can improve differentiating benign and malignant breast lesions in MRI based on the A6702 thresholds.Materials and methods: This IRB-approved study involved an in-house dataset and the publicly available ACRIN-6698 dataset, both including multi b-value DWI. In phase one, 16 ANTs library-based co-registration methods were evaluated on a subset of n = 138 cases from our in-house cohort. The quantitative assessment included mean ADC values of manually segmented lesions (diagnostic metrics using individual and A6702-defined thresholds) and coefficient of Variation. In the second phase, the best-performing methods were tested for generalizability on an unseen set of 40 cases (20 from in-house and 20 from external dataset). Three blinded readers segmented lesions on co-registered and non-co-registered ADC maps. Agreement and consistency were evaluated via Bland-Altman, segmentation distance, and intraclass correlation coefficient.Results: Rigid co-registration using DWI at b = 750 s/mm2 as reference (b750-Rigid) improved accuracy of both optimal/conservative A6702 trial thresholds with sensitivity/specificity increasing from 93%/10% to 97%/30% and 100%/30% respectively. Mean ADC values were not significantly different after co-registration (p > 0.05).Discussion: Co-registration of DWI images before ADC map generation, particularly using b750-Rigid registration, seems promising for improving lesion classification in breast MRI. Further validation is warranted.","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"645-662"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13447411/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146093412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction: Naming convention for gradient system transfer function and gradient system frequency response for magnetic resonance imaging encoding field characterization. 更正：磁共振成像编码场表征中梯度系统传递函数和梯度系统频率响应的命名约定。

IF 3.1 4区医学

Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2026-08-01 DOI: 10.1007/s10334-026-01336-9

Niklas Wehkamp, Patrick Hucker, Johannes Fischer, Andreas Greiner, Jon-Fredrik Nielsen, Maxim Zaitsev, Robert Dehnert

引用次数: 0

Research progress of deep learning based on magnetic resonance imaging in meningioma. 基于磁共振成像的脑膜瘤深度学习研究进展。

IF 3.1 4区医学

Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2026-08-01 Epub Date: 2025-12-26 DOI: 10.1007/s10334-025-01307-6

Yuan Gui, Jing Zhang

{"title":"Research progress of deep learning based on magnetic resonance imaging in meningioma.","authors":"Yuan Gui, Jing Zhang","doi":"10.1007/s10334-025-01307-6","DOIUrl":"10.1007/s10334-025-01307-6","url":null,"abstract":"Objective: This review aims to summarize the research progress of magnetic resonance imaging (MRI)-based deep learning ( DL) in meningiomas, analyze its advantages, limitations, and key issues in clinical translation, provide technical references for relevant medical researchers and clinicians, thereby promoting the faster and more standardized application of DL in clinical diagnosis and treatment, and ultimately benefiting patients.Background: The early detection and accurate grading and classification of meningiomas are crucial for formulating personalized treatment plans. DL has achieved breakthrough progress in the field of meningioma imaging analysis. By adopting objective and quantitative analysis methods, it effectively overcomes the limitation of traditional diagnostic methods that rely on subjective human visual judgment, opening up broad prospects for the precise diagnosis and treatment of meningiomas.Methods: The literature search and selection process for this review was conducted as follows: Search period: 1 January 2019 to 31 October 2024; Databases searched: PubMed, Web of Science, and Embase; Search string: ((\"meningioma\" OR \"meningiomas\") AND (\"magnetic resonance imaging\" OR \"MRI\") AND (\"deep learning\" OR \"convolutional neural network\" OR \"CNN\" OR \"transformer\" OR \"neural network\" OR \"neural networks\")).Conclusions: The application of DL in meningioma research marks that medical imaging diagnosis has entered a new intelligent stage. By providing doctors with more objective and accurate diagnostic basis, it facilitates the formulation of personalized treatment plans, thereby improving patients' treatment outcomes and quality of life. The continuous breakthroughs of DL in the field of meningiomas indicate that the future of medical imaging diagnosis will be more intelligent and precise.","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"513-530"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145834235","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

Fast zero-shot deep learning-based denoising method for low-field MR images. 基于快速零距深度学习的低场MR图像去噪方法。

IF 3.1 4区医学

Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2026-08-01 Epub Date: 2025-12-22 DOI: 10.1007/s10334-025-01311-w

Reina Ayde, Gabriel Zihlmann, Najat Salameh, Mathieu Sarracanie

{"title":"Fast zero-shot deep learning-based denoising method for low-field MR images.","authors":"Reina Ayde, Gabriel Zihlmann, Najat Salameh, Mathieu Sarracanie","doi":"10.1007/s10334-025-01311-w","DOIUrl":"10.1007/s10334-025-01311-w","url":null,"abstract":"Objective: Denoising low-field MR images is often essential to obtain image quality that is adequate for clinical diagnosis while keeping scan time patient-friendly. The recently introduced zero-shot self-supervised approach shows great promise, requiring no prior data collection for training, which is particularly challenging at low-field. Here, this scan-specific denoising approach is adapted to low-field MR data and optimized to accelerate the training process.Material and method: We extended the zero-shot noise-as-clean method by modifying the training process to achieve faster training times. The proposed method was compared to BM4D and the recent zero-shot noise2noise methods. Denoising performance was first evaluated quantitatively on high-field data where high SNR images are available, then assessed qualitatively on prospective low-field data (0.1 T). Ultimately, we studied the denoising performance with respect to training on portions of the original data matrix as a potential strategy for further training acceleration.Results: The proposed method achieved high denoising performance across different SNR levels within a few seconds on a GPU for typical low-field data dimensions. Additionally, training on portion of the data showed potential for further training acceleration.Discussion: In the context of low-field MRI, this denoising method shows great potential, as it could be integrated into acquisition workflows relatively seamlessly to improve image quality. Code: https://github.com/reinaayde7/zs-nac.git.","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"531-544"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13447554/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145804982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distortion correction in TSE near titanium implants at 0.55 T using reversed frequency-encoding and model-based reconstruction. 使用反向频率编码和基于模型的重建校正0.55 T时钛植入物附近TSE的畸变。

IF 3.1 4区医学

Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2026-08-01 Epub Date: 2025-12-22 DOI: 10.1007/s10334-025-01315-6

Bochao Li, Nam G Lee, Daehyun Yoon, Kübra Keskin, Alexander R Toews, Jay Acharya, Jordan S Gross, Brian A Hargreaves, Krishna S Nayak

{"title":"Distortion correction in TSE near titanium implants at 0.55 T using reversed frequency-encoding and model-based reconstruction.","authors":"Bochao Li, Nam G Lee, Daehyun Yoon, Kübra Keskin, Alexander R Toews, Jay Acharya, Jordan S Gross, Brian A Hargreaves, Krishna S Nayak","doi":"10.1007/s10334-025-01315-6","DOIUrl":"10.1007/s10334-025-01315-6","url":null,"abstract":"Objectives: To develop a method for imaging near titanium implants at 0.55 T, which enables the use of a low readout bandwidth for higher SNR while reducing in-plane geometric distortions.Materials and methods: A pair of turbo spin echo (TSE) data with opposite frequency-encoding directions is acquired. For each frequency direction, a gradient nonlinearity (GNL)-corrected image is reconstructed with a model-based iterative reconstruction incorporating GNL. A susceptibility-induced displacement map along the readout direction is estimated from two GNL-corrected images. A single final image is reconstructed with the model-based reconstruction incorporating both GNL and metal-induced displacement fields using both k-space acquisitions. The proposed method is compared against TSE with view angle tilting (VAT) and slice encoding for metal artifact correction (SEMAC).Results: The proposed reconstruction method maintains spatial resolution compared to current correction techniques. Unlike image-domain correction, VAT, and SEMAC, it does not introduce spatial blurring at equivalent bandwidths. It is feasible to reduce distortion due to off-resonance at a low readout bandwidth, resulting in higher apparent SNR (1.4-1.6-fold) without blurring under current imaging settings. In phantoms, and in patients with total hip arthroplasty and spinal fusion, the proposed method provides clearer delineation of tissues compared to conventional methods.Discussion: The proposed GNL and off-resonance distortion correction method for imaging near metal at 0.55 T enables the use of low readout bandwidth, providing SNR improvements without the blurring typically associated with low-bandwidth VAT.","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"593-604"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13447556/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145804927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comment: naming convention for gradient system transfer function and gradient system frequency response for magnetic resonance imaging encoding field characterization. 备注：梯度系统传递函数和梯度系统频率响应的命名约定，用于磁共振成像编码场表征。

IF 3.1 4区医学

Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2026-08-01 Epub Date: 2026-01-30 DOI: 10.1007/s10334-025-01314-7

Niklas Wehkamp, Patrick Hucker, Johannes Fischer, Andreas Greiner, Jon-Fredrik Nielsen, Maxim Zaitsev, Robert Dehnert

引用次数: 0

Correction: Enhancing SNR in MRI at 7T using wearable coils, dielectric resonators, and dipole antennas. 修正：使用可穿戴线圈、介电谐振器和偶极子天线增强7T时MRI的信噪比。

IF 3.1 4区医学

Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2026-08-01 DOI: 10.1007/s10334-026-01332-z

Daniel Wenz, Jules Vliem, Elizaveta Shegurova, Mark Widmaier, Lijing Xin, Dimitrios C Karampinos, Irena Zivkovic

引用次数: 0

5 T vs 3 T Non-contrast enhanced MRA: enhanced vessel delineation and lipid suppression in lower limbs. 5t vs 3t非对比增强MRA：增强血管描绘和下肢脂质抑制。

IF 3.1 4区医学

Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2026-08-01 Epub Date: 2026-01-16 DOI: 10.1007/s10334-025-01319-2

Xianyi Zhang, Hao Li, Zhang Shi, Mingming Zhang, Chen Qiao, Weirui Cai, Dong Wang, Junpu Hu, Qing Lu, He Wang

{"title":"5 T vs 3 T Non-contrast enhanced MRA: enhanced vessel delineation and lipid suppression in lower limbs.","authors":"Xianyi Zhang, Hao Li, Zhang Shi, Mingming Zhang, Chen Qiao, Weirui Cai, Dong Wang, Junpu Hu, Qing Lu, He Wang","doi":"10.1007/s10334-025-01319-2","DOIUrl":"10.1007/s10334-025-01319-2","url":null,"abstract":"Objective: This study compared image quality and lipid suppression efficacy between 5 and 3 T MR systems for lower-extremity non-contrast enhanced magnetic resonance angiography (NCE-MRA) using an optimized 2D time-of-flight (TOF) sequence with spatially separated lipid pre-saturation (SLIP).Materials and methods: Ten healthy volunteers underwent 2D TOF examination on lower limbs at both field strengths. The SLIP technique was evaluated across field strengths and compared with conventional CHESS to assess lipid suppression efficiency. Subjective scoring was used to assess vessel visualization and image quality, while quantitative analysis of vessel-to-muscle contrast ratios was performed. Statistical significance was determined using paired t-tests. Three patients with Peripheral Arterial Occlusive Disease (PAOD) were evaluated at 5 T and compared to computed tomography angiography (CTA) as the reference standard.Results: The implementation of SLIP underscores the capability of increased field strength for more effective implementation of chemical shift-based lipid suppression technique. 5 T NCE MRA demonstrated higher Likert scores of radiologists' subjective evaluations of vessel delineation (5 T vs 3 T: 3.73 vs. 3.47, P < 0.001) and image quality (3.58 vs 3.27, P = 0.002) than 3 T. Vessel-to-background ratio (VBR) (14.87 ± 3.80 vs 10.07 ± 2.64, P < 0.001) and vessel contrast-to-background ratio (VCBR) were higher at 5 T (0.84 ± 0.11 vs 0.77 ± 0.12, P < 0 .001), indicating enhanced vessel delineation than 3 T.Conclusion: 5 T NCE-MRA outperforms 3 T in visualizing lower limb vasculature, with enhanced lipid suppression and reduced in-plane saturation artifacts, offering a non-invasive alternative for peripheral vascular assessment.","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"687-696"},"PeriodicalIF":3.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145989854","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