Magnetic resonance imaging最新文献

{"title":"Diffusion basis spectrum imaging detects axonal injury in the optic nerve following traumatic brain injury","authors":"Raj Swaroop Lavadi ,&nbsp;Kainen L. Utt ,&nbsp;Stephen N. Housley ,&nbsp;Sirisha Nouduri ,&nbsp;Tsen-Hsuan Lin ,&nbsp;Jacob Blum ,&nbsp;Brenton H. Pennicooke ,&nbsp;Sheng-Kwei Song ,&nbsp;Nitin Agarwal","doi":"10.1016/j.mri.2025.110451","DOIUrl":"10.1016/j.mri.2025.110451","url":null,"abstract":"<div><h3>Purpose</h3><div>To utilize diffusion basis spectrum imaging (DBSI), an advanced imaging modality that has been shown to distinguish between co-occurring white matter pathologies, to discern changes in the optic nerves among patients with traumatic brain injury (TBI).</div></div><div><h3>Methods</h3><div>Seven patients with TBI were prospectively recruited to undergo a 3 T magnetic resonance imaging brain scan within two months of injury, and follow-up scans at 6- and 12-months. The optic nerve was considered the region of interest. Manual alignment of the optic nerve slices was performed, followed by the deployment of an in-house script to obtain post-processed data. Diffusion tensor imaging and DBSI-derived axial (AD) and radial diffusivity (RD), reflecting axon and myelin integrity, respectively, were compared. DBSI-derived signal intensities were also compared. The Kruskal-Wallis test was performed to determine significance (<em>p</em> &lt; 0.05).</div></div><div><h3>Results</h3><div>Fourteen optic nerves from patients were compared with 18 optic nerves from control participants. The values of DTI RD were significantly greater among patients than controls (p &lt; 0.05) across all timepoints, with no corresponding differences in the AD. However, a decrease in DBSI AD (<em>p</em> &lt; 0.01) observed only at the initial scan, coupled with a stable RD, was observed among patients. Comparisons between DBSI signal intensities among patients showed no appreciable differences; however, the fiber fraction was significantly lower (<em>p</em> &lt; 0.05) at all timepoints.</div></div><div><h3>Conclusion</h3><div>Acute reductions in DBSI-derived AD and sustained reductions in fiber fraction can serve as a potential biomarker for axonal injury in the optic nerves of patients with TBI.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110451"},"PeriodicalIF":2.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144560512","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}

{"title":"Qualitative and quantitative analysis of functional cardiac MRI using a novel compressed SENSE sequence with artificial intelligence image reconstruction","authors":"Konstantin Klein ,&nbsp;Marcel Christian Langenbach ,&nbsp;Lenhard Pennig ,&nbsp;Thomas Schömig ,&nbsp;Robert Terzis ,&nbsp;Isabel Luisa Langenbach ,&nbsp;David Maintz ,&nbsp;Matej Gajzler ,&nbsp;Kristina Sonnabend ,&nbsp;Claas Philip Nähle","doi":"10.1016/j.mri.2025.110448","DOIUrl":"10.1016/j.mri.2025.110448","url":null,"abstract":"<div><h3>Background</h3><div>To evaluate the feasibility of combining Compressed SENSE (CS) with a newly developed deep learning-based algorithm (CS-AI) using a Convolutional Neural Network to accelerate balanced steady-state free precession (bSSFP)-sequences for cardiac magnetic resonance imaging (MRI).</div></div><div><h3>Methods</h3><div>30 healthy volunteers were examined prospectively with a 3 T MRI scanner. We acquired CINE bSSFP sequences for short axis (SA, multi-breath-hold) and four-chamber (4CH)-view of the heart. For each sequence, four different CS accelerations and CS-AI reconstructions with three different denoising parameters, CS-AI medium, CS-AI strong, and CS-AI complete, were used. Cardiac left ventricular (LV) function (i.e., ejection fraction, end-diastolic volume, end-systolic volume, and LV mass) was analyzed using the SA sequences in every CS factor and each AI level. Two readers, blinded to the acceleration and denoising levels, evaluated all sequences regarding image quality and artifacts using a 5-point Likert scale. Friedman and Dunn's multiple comparison tests were used for qualitative evaluation, ANOVA and Tukey Kramer test for quantitative metrics.</div></div><div><h3>Results</h3><div>Scan time could be decreased up to 57 % for the SA-Sequences and up to 56 % for the 4CH-Sequences compared to the clinically established sequences consisting of SA-CS3 and 4CH-CS2,5 (SA-CS3: 112 s vs. SA-CS6: 48 s; 4CH-CS2,5: 9 s vs. 4CH-CS5: 4 s, <em>p</em> &lt; 0.001). LV-functional analysis was not compromised by using accelerated MRI sequences combined with CS-AI reconstructions (all <em>p</em> &gt; 0.05). The image quality loss and artifact increase accompanying increasing acceleration levels could be entirely compensated by CS-AI post-processing, with the best results for image quality using the combination of the highest CS factor with strong AI (SA-CINE: Coef.:1.31, 95 %CI:1.05–1.58; 4CH-CINE: Coef.:1.18, 95 %CI:1.05–1.58; both <em>p</em> &lt; 0.001), and with complete AI regarding the artifact score (SA-CINE: Coef.:1.33, 95 %CI:1.06–1.60; 4CH-CINE: Coef.:1.31, 95 %CI:0.86–1.77; both p &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>Combining CS sequences with AI-based image reconstruction for denoising significantly decreases scan time in cardiac imaging while upholding LV functional analysis accuracy and delivering stable outcomes for image quality and artifact reduction. This integration presents a promising advancement in cardiac MRI, promising improved efficiency without compromising diagnostic quality.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110448"},"PeriodicalIF":2.1,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340185","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}

{"title":"Hierarchical refinement with adaptive deformation cascaded for multi-scale medical image registration","authors":"Naeem Hussain ,&nbsp;Zhiyue Yan ,&nbsp;Wenming Cao ,&nbsp;Muhammad Anwar","doi":"10.1016/j.mri.2025.110449","DOIUrl":"10.1016/j.mri.2025.110449","url":null,"abstract":"<div><div>Deformable image registration is a fundamental task in medical image analysis, which is crucial in enabling early detection and accurate disease diagnosis. Although transformer-based architectures have demonstrated strong potential through attention mechanisms, challenges remain in ineffective feature extraction and spatial alignment, particularly within hierarchical attention frameworks. To address these limitations, we propose a novel registration framework that integrates hierarchical feature encoding in the encoder and an adaptive cascaded refinement strategy in the decoder. The model employs hierarchical cross-attention between fixed and moving images at multiple scales, enabling more precise alignment and improved registration accuracy. The decoder incorporates the Adaptive Cascaded Module (ACM), facilitating progressive deformation field refinement across multiple resolution levels. This approach captures coarse global transformations and acceptable local variations, resulting in smooth and anatomically consistent alignment. However, rather than relying solely on the final decoder output, our framework leverages intermediate representations at each stage of the network, enhancing the robustness and precision of the registration process. Our method achieves superior accuracy and adaptability by integrating deformations across all scales.</div><div>Comprehensive experiments on two widely used 3D brain MRI datasets, OASIS and LPBA40, demonstrate that the proposed framework consistently outperforms existing state-of-the-art approaches across multiple evaluation metrics regarding accuracy, robustness, and generalizability.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110449"},"PeriodicalIF":2.1,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336634","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}

{"title":"A human-compatible gradient coil for visualizing ultrasound propagation","authors":"Paul-Emile Passe-Carlus ,&nbsp;Davi Cavinatto ,&nbsp;Nathan Thyberg ,&nbsp;Carson Reed ,&nbsp;Taylor D. Webb ,&nbsp;Steven P. Allen","doi":"10.1016/j.mri.2025.110447","DOIUrl":"10.1016/j.mri.2025.110447","url":null,"abstract":"<div><div>In pursuit of a magnetic resonance imaging (MRI) based means to tailor transcranial focused ultrasound neuromodulation to a patient's unique skull morphology, this study presents a specialized gradient coil that sensitizes MRI images to ultrasonic vibrations at depths equivalent to the human cortex in a technique called the magnetic resonance hydrophone. The coil comprises a 60 mm diameter, pancake-style design that encodes acoustic displacements into MR images at the cost of an inhomogeneous encoding field. The coil was coupled with a 500 kHz, custom built, ultrasonic transducer. Both the magnetic field gradient of the coil and the acoustic field of the transducer were characterized in benchtop experiments. Acoustic standing waves were estimated in silico. Resulting MR images displayed a sinusoidal phase pattern modulated by both the transducer's acoustic field and the coil's magnetic field gradient. Acoustic pressures were estimated from the resulting images and compared to hydrophone measurements. The pancake-style coil produced a pressure measurement uncertainty pattern due to electronic noise that increased exponentially with depth. Uncertainty at locations between 0 and 30 mm of depth within a region approximately 10 mm wide scaled between approximately 20 kPa and 100 kPa. On average, the MRH underestimated the hydrophone by 12 kPa with the difference between the two following a standard deviation of 21 kPa.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110447"},"PeriodicalIF":2.1,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144326119","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}

{"title":"Multiparametric radiomic analysis of MRI for predicting satellite nodules and recurrence-free survival in patients with hepatocellular carcinoma","authors":"Hai-Feng Liu,&nbsp;Yang Lu,&nbsp;Qi Liu,&nbsp;Wei Xing","doi":"10.1016/j.mri.2025.110450","DOIUrl":"10.1016/j.mri.2025.110450","url":null,"abstract":"<div><h3>Background</h3><div>To establish and vertify a nomogram model that integrates multiparametric magnetic resonance imaging (MRI) radiomic signatures and clinical features to predict satellite nodules (SNs) and recurrence-free survival (RFS) in hepatocellular carcinoma (HCC) patients.</div></div><div><h3>Methods</h3><div>Data from 244 patients with HCC who underwent multiparametric MRI were analyzed and randomly assigned into a training (<em>n</em> = 170) dataset and a validation dataset (<em>n</em> = 74). A support vector machine algorithm was employed to develop T1WI (T1-weighted imaging), T2WI (T2-weighted imaging), arterial phase (AP), portal-venous phase (PVP), and integrated MRI radiomic models. The selected signatures were combined with independent clinical factors to construct a nomogram model. The performance of these predictive models in the prediction of SNs and RFS was assessed with the AUC and Kaplan–Meier analysis, respectively.</div></div><div><h3>Results</h3><div>Portal vein tumor thrombosis and peritumoral enhancement were significant clinical indicators of SNs (<em>P</em> &lt; 0.05). In predicting SNs, the nomogram model demonstrated the highest AUC value of 0.94 in the training dataset and 0.83 in the validation dataset. This was followed by the integrated MRI (0.93 and 0.79), AP (0.92 and 0.82), T2WI (0.91 and 0.78), PVP (0.90 and 0.80), and T1WI models (0.88 and 0.77). Compared with SNs (−) patients, SNs (+) patients had a significantly lower median RFS (61.3 vs. 18.6 months, <em>P</em> &lt; 0.001). Additionally, nomogram predicted SNs (+) had a lower median RFS compared to SNs (−) (20.5 vs. 63.1 months, <em>P</em> &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>The nomogram model based on multiparametric MRI radiomics signatures demonstrated substantial efficacy in predicting SNs and RFS in patients with HCC.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110450"},"PeriodicalIF":2.1,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314059","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}

{"title":"Towards accurate MRF T2 in structured material at 0.55T using MT-suppressed excitations","authors":"Zhibo Zhu ,&nbsp;Nam G. Lee ,&nbsp;Krishna S. Nayak","doi":"10.1016/j.mri.2025.110444","DOIUrl":"10.1016/j.mri.2025.110444","url":null,"abstract":"<div><h3>Purpose</h3><div>To develop a 0.55 T FISP-MRF approach that provides more accurate T₂ maps in structured materials (e.g. white matter).</div></div><div><h3>Method</h3><div>Non-selective low-bandwidth excitation strategies that reduce on-resonance MT effects were implemented. Dictionaries were simulated using a conventional single pool model. Estimated MRF T₂ maps using the non-selective approach with 2 pulse durations were compared against MRF T₂ maps using the conventional slab-selective approach, and against conventional but slow reference measurements.</div></div><div><h3>Results</h3><div>The proposed approach substantially reduces T₂ underestimation in white matter from ∼40 % to &lt;10 % without compromising precision.</div></div><div><h3>Conclusion</h3><div>The use of non-selective low-bandwidth excitations substantially reduces MT effects in 0.55T FISP-MRF, enabling use of a single pool model. This is particularly important for MRF at low field strengths and in structured materials such as white matter.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110444"},"PeriodicalIF":2.1,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144275301","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}

{"title":"Neurovascular coupling alterations in cerebral small vessel disease: A multi-delayed ASL and fMRI perspective on cognitive impairment","authors":"Peng Zeng ,&nbsp;Bang Zeng ,&nbsp;Dan Luo ,&nbsp;Binglan Li ,&nbsp;Yuling Peng ,&nbsp;Yayun Xiang ,&nbsp;Dan Wang ,&nbsp;Ying Chai ,&nbsp;Yongmei Li","doi":"10.1016/j.mri.2025.110425","DOIUrl":"10.1016/j.mri.2025.110425","url":null,"abstract":"<div><h3>Background</h3><div>To explore the alteration of neurovascular coupling (NVC), relationships between neuroimaging metrics with clinical assessments, and classification metrics in cerebral small vessel disease (CSVD).</div></div><div><h3>Methods</h3><div>Participants were grouped into healthy control, CSVD with normal cognition, and CSVD with cognition impairment according to CSVD scales and Montreal Cognitive Assessment. Cerebral blood flow (CBF) adjusted for arterial transit time and dynamic/static amplitude of low-frequency fluctuation (dALFF, ALFF) were combined to evaluate NVC and to determine intergroup differences. Partial Spearman Correlation between measures from abnormal brain areas and scores of clinical assessments were operated. Multivariate pattern analysis was applied to determine the most effective classification metrics among groups.</div></div><div><h3>Results</h3><div>Cross-voxel correlation was lower in CSVD compared to healthy control. Abnormal brain regions were presented mainly in sensorimotor cortex, limbic/paralimbic system, and basal ganglia in CSVD. Notably, correlations between clinical assessment scores and NVC-related metrics in these areas were significant before correction. CBF/ALFF ratio exhibited superior classification performance between healthy control and CSVD with normal cognition, while a combination of dALFF and CBF effectively differentiated between CSVD patients with normal and impaired cognition.</div></div><div><h3>Conclusions</h3><div>Our investigation finds neurovascular decoupling using ATT-corrected CBF, dALFF and ALFF, as well as suggests effective classification metrics in CSVD with/without cognition impairment, potentially improving diagnostic and therapeutic strategies.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110425"},"PeriodicalIF":2.1,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248600","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}

{"title":"Attenuation of MR spin-echo signal by restricted diffusion confined to a laminar system and a large rectangular box","authors":"Krzysztof Szymański ,&nbsp;Łukasz Łabieniec ,&nbsp;Grzegorz Domański ,&nbsp;Piotr Bogorodzki","doi":"10.1016/j.mri.2025.110446","DOIUrl":"10.1016/j.mri.2025.110446","url":null,"abstract":"<div><div>We investigate magnetic resonance (MR) signal attenuation caused by confined by restricted diffusion confined to a laminar system and a large rectangular box using the pulsed gradient spin-echo MR method. Applying asymptotic expansions, we derive corrections up to order <span><math><mn>1</mn><mo>/</mo><msup><mi>L</mi><mn>2</mn></msup></math></span>, where <span><math><mi>L</mi></math></span> is the characteristic system size, and show that in the limit of large <span><math><mi>L</mi></math></span>, the attenuation converges to the free diffusion expression. In the fast diffusion regime, where <span><math><msup><mi>γ</mi><mn>2</mn></msup><msup><mi>G</mi><mn>2</mn></msup><msup><mi>δ</mi><mn>2</mn></msup><mi>D</mi><mo>∆</mo><mo>≫</mo><mn>1</mn></math></span>, interference effects become significant, limiting the applicability of the asymptotic expansion. Our findings refine diffusion-weighted MRI models and provide insights into confined molecular transport.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110446"},"PeriodicalIF":2.1,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248599","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}

{"title":"Comparing single-shot EPI and 2D-navigated, multi-shot EPI diffusion tensor imaging acquisitions in the lumbar spinal cord at 3T","authors":"Alicia E. Cronin ,&nbsp;Anna Combes ,&nbsp;Lipika Narisetti ,&nbsp;Grace Sweeney ,&nbsp;Logan Prock ,&nbsp;Delaney Houston ,&nbsp;Caroline Seehorn ,&nbsp;Kurt G. Schilling ,&nbsp;Ryan K. Robison ,&nbsp;Seth A. Smith ,&nbsp;Kristin P. O'Grady","doi":"10.1016/j.mri.2025.110445","DOIUrl":"10.1016/j.mri.2025.110445","url":null,"abstract":"<div><div>Diffusion tensor imaging (DTI) can provide insights into spinal cord microstructure in health and disease; however, its application has been largely limited to cervical spinal segments using single-shot echo-planar imaging (EPI) diffusion-weighted MRI acquisitions. In this work, we evaluate a multi-shot EPI diffusion-weighted acquisition with reduced field-of-view (FOV) and 2D-navigated motion correction applied in the lumbar spinal cord of healthy volunteers, and compare image quality, geometric distortions, and quantitative DTI indices to those obtained with conventional, single-shot EPI diffusion-weighted MRI in a distinct, age/sex-matched healthy cohort. At 3 Tesla, 25 and 27 healthy participants were imaged using the single-shot and multi-shot EPI readouts with diffusion weighting, respectively, with matching resolution and comparable scan time. Seven participants underwent both diffusion acquisitions and were included in both cohorts. DTI indices were compared between the multi-shot and single-shot cohorts. Image signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) between gray and white matter, geometric distortions, and within-subject bias between the acquisitions were also assessed. The lumbar spinal cord diffusion indices derived from both cohorts were comparable to those in previous studies using single-shot EPI, though within-subject analysis demonstrated a systematic bias between the acquisitions in gray and white matter DTI measures, indicating these acquisitions are not interchangeable within a study. The multi-shot quantitative DTI maps demonstrated a significant reduction in image artifacts (i.e., distortions and blurring) and higher SNR and CNR compared to single-shot images. Overall, the reduced FOV, 2D-navigated, motion-corrected multi-shot acquisition demonstrated improved DTI quality metrics compared to single-shot, supporting its application for the lumbar spinal cord region.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110445"},"PeriodicalIF":2.1,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144239984","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}

{"title":"Rapid 1 mm isotropic diffusion tensor imaging with denoising and improved parameter estimation for detecting focal hippocampal lesions in temporal lobe epilepsy","authors":"Pablo Stack-Sanchez ,&nbsp;Christian Beaulieu ,&nbsp;Donald W. Gross","doi":"10.1016/j.mri.2025.110443","DOIUrl":"10.1016/j.mri.2025.110443","url":null,"abstract":"<div><div>While high resolution diffusion tensor imaging (DTI) at 1 mm isotropic can detect focal lesions of the hippocampus in temporal lobe epilepsy (TLE), faster acquisition times would facilitate potential clinical implementation. The purpose here is to assess different published denoising algorithms to overcome the low signal-to-noise ratio and accelerate 1 mm isotropic DTI of the human hippocampus at 3 T while maintaining diffusivity metric accuracy and image quality for focal lesion detection in TLE. The previously published 5.5 min protocol of 110 diffusion images per slice (10 directions × 10 averages and 10 b = 0 s/mm²) was assessed for subsets of 1–10 averages (same 10 directions) that were denoised using four algorithms that have been applied to other diffusion MRI datasets. In healthy controls, the variance-stabilizing transformation and optimal singular-value manipulation (VST) and Non-Local Spatial and Angular Matching (NLSAM) denoising greatly improved image quality while minimizing voxels with spurious extremes of fractional anisotropy (FA) or mean diffusivity (MD) down to 4 averages (i.e. 40 diffusion images and 4 b = 0 s/mm²) in healthy controls. The identification of focal lesions indicated by elevated MD and alterations of internal micro-architecture with only 4 averages were comparable to the full data set of 10 averages. Therefore, denoising of 1 mm isotropic DTI of the hippocampus enables a clinically feasible scan time of 2.2 min at 3 T that can be used for the detection of focal hippocampal lesions in TLE, as well as other neurological disorders such as multiple sclerosis, dementia and Alzheimer's disease.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110443"},"PeriodicalIF":2.1,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212067","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}