Magnetic Resonance in Medicine最新文献

{"title":"Bright Ferritin for Non-Invasive MRI Monitoring of the Fate of Transplanted hPSC-Cardiomyocytes in the Infarcted Rat Heart.","authors":"Keyu Zhuang, Faisal J Alibhai, Beiping Qiang, Rocco Romagnuolo, Kyle D W Vollett, Bradley K C Freeman, M Juliana Gomez-Garcia, Tamilla Sadikov Valdman, Tameshwar Ganesh, Yu-Qing Zhou, Hai-Ying Mary Cheng, Michael A Laflamme, Hai-Ling Margaret Cheng","doi":"10.1002/mrm.70316","DOIUrl":"10.1002/mrm.70316","url":null,"abstract":"<p><strong>Purpose: </strong>To demonstrate that a recently reported bright ferritin magnetic resonance imaging (MRI) platform can track transplanted human pluripotent stem cell (hPSC)-derived cardiomyocytes (hPSC-CMs) longitudinally and on-demand in the rat heart.</p><p><strong>Methods: </strong>Ferritin-overexpressing hPSCs were differentiated into cardiomyocytes and assessed for cell viability, contractile functional proteins, and electrophysiological properties in vitro. In an immunodeficient rat model, hPSC-CMs injected into the left ventricular myocardium were tracked on cardiac MRI at 3 Tesla over 8 weeks in both healthy and infarcted hearts. Longitudinal MRI was accompanied by MnCl₂ supplementation for on-demand recall of bright signal from ferritin-overexpressing hPSC-CMs. MRI findings were corroborated against histological validation.</p><p><strong>Results: </strong>Ferritin-overexpressing hPSC-CMs displayed normal morphological and functional phenotypes and created viable grafts in vivo. On-demand recall of bright contrast on MRI was achieved, regardless of interval post-cell transplantation, via MnCl₂ administration to precisely map surviving hPSC-CMs in both healthy and infarcted hearts. The spatial distribution of hPSC-CMs on MRI was confirmed throughout the heart by histology. Echocardiography confirmed MnCl₂ had no impact on cardiac function, although in vitro tests revealed transiently dampened calcium handling and contractility, an effect from which cells fully recovered after removing MnCl₂.</p><p><strong>Conclusion: </strong>Bright ferritin MRI allows longitudinal, non-invasive, and on-demand imaging of the distribution of viable transplanted hPSC-CMs in the healthy and infarcted rat heart.</p>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":" ","pages":"323-338"},"PeriodicalIF":3.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147307326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized Detection of Left Ventricular Hyperpolarized [1-¹³C]Pyruvate Signal in Human Cardiac Metabolic Imaging.","authors":"Fatemeh Khashami, Ivan E Dimitrov, Maximilian Fuetterer, Stefan Glöggler, Bei Zhang, Egzona Tan, Sebastian Kozerke, Anke Henning, Tarique Hussain, Craig R Malloy, Nisha Unni, Vlad G Zaha","doi":"10.1002/mrm.70332","DOIUrl":"10.1002/mrm.70332","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to improve the analysis of the left ventricular (LV) blood pool hyperpolarized [1-¹³C]pyruvate signal for a more reliable quantification of downstream metabolic outcome.</p><p><strong>Methods: </strong>Hyperpolarized [1-¹³C]pyruvate magnetic resonance spectroscopic images were acquired dynamically at 3 Tesla in 106 participants (NCT03685175). An exponential model was fitted to the distribution of summed LV blood pool [1-¹³C]pyruvate signal intensities from all dynamic frames to extract a characteristic numerical fitting value. A threshold formula was introduced to detect a suitable region of interest in the blood pool. A correlation-based analysis between the LV blood pool [1-¹³C]pyruvate signal and the metabolic outcome, i.e., combined myocardial [1-¹³C]lactate and [¹³C]bicarbonate signals, was performed to determine an optimal threshold and was compared to conventional peak-intensity and percentile-based approaches.</p><p><strong>Results: </strong>The exponential numerical fitting value (0.0105 ± 0.0036) of [1-¹³C]pyruvate signal intensity distribution was normalized to the area under the curve of the average signal-to-noise ratio. A threshold range of 13%-25% was identified where the resulting values representative for the LV blood pool [1-¹³C]pyruvate signal reached an optimal correlation with the metabolic outcome. The proposed model showed a more stable correlation between LV blood pool [1-¹³C]pyruvate signal and the metabolic outcome compared to conventional peak-intensity and percentile-based approaches.</p><p><strong>Conclusions: </strong>A mathematical model using exponential fitting and thresholding of the intensity distribution of [1-¹³C]pyruvate signal in the LV blood pool provides a strong correlation with the metabolic outcome, allowing for a semiautomated method to robustly assess the left ventricular pyruvate signal in dynamic nuclear polarization studies.</p>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":" ","pages":"420-434"},"PeriodicalIF":3.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147369782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Motion-Compensated Diffusion Imaging With Phase-Contrast for Robust Quantification of Regional Cerebral Blood Flow.","authors":"Naoki Ohno, Tosiaki Miyati, Genki Nambu, Yu Ueda, Yuki Makino, Noam Alperin, Satoshi Kobayashi","doi":"10.1002/mrm.70324","DOIUrl":"10.1002/mrm.70324","url":null,"abstract":"<p><strong>Purpose: </strong>To develop and evaluate a motion-compensated diffusion imaging with phase-contrast (MC-DIP) technique for mitigating errors in regional cerebral blood flow (rCBF) quantification caused by physiological brain motion.</p><p><strong>Methods: </strong>Diffusion-weighted images were acquired in 11 healthy volunteers on a 3.0 T MRI system using three gradient schemes: second-order motion-compensated (2nd-MC), first-order motion-compensated (1st-MC), and non-compensated (non-MC) diffusion gradients. Absolute rCBF maps were generated for each scheme by calibrating intravoxel incoherent motion-derived relative perfusion maps with total cerebral blood flow measured by phase-contrast MRI. The rCBF values from the DIP methods were compared in gray and white matter with a reference arterial spin labeling (ASL) measurement.</p><p><strong>Results: </strong>Both motion-compensated schemes (2nd-MC and 1st-MC) provided significantly better biexponential fitting accuracy in gray matter compared with the non-MC scheme (p < 0.05). In white matter, however, only the 2nd-MC scheme resulted in a significant improvement over the other methods (p < 0.05). While rCBF values from all three DIP methods showed a strong positive correlation with ASL in gray matter (ρ ≥ 0.82, p < 0.05), only the 2nd-MC-DIP method demonstrated a significant positive correlation in white matter (ρ = 0.69, p < 0.05).</p><p><strong>Conclusion: </strong>The implementation of second-order motion compensation within the DIP framework improves fitting accuracy, enabling robust rCBF quantification.</p>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":" ","pages":"238-246"},"PeriodicalIF":3.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147344629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing Measurement Repeatability of a Novel Anisotropic Phantom for Advanced Diffusion MRI Models.","authors":"Lauren Stephens, Sofia Chavez, Fergal Kerins, Michael D Noseworthy","doi":"10.1002/mrm.70330","DOIUrl":"10.1002/mrm.70330","url":null,"abstract":"<p><strong>Purpose: </strong>Diffusion MRI is widely used to characterize tissue microstructure, but standardization remains challenging, particularly for advanced models or regions with crossing fibers. Phantoms provide controlled environments to assess measurement repeatability independent of biological variability. This study evaluated the repeatability of higher-order diffusion tensor metrics using a novel anisotropic diffusion phantom designed to mimic white matter tract geometry.</p><p><strong>Methods: </strong>The phantom, containing linear, crossing (30°, 45°, 90°), and bifurcating synthetic fiber bundles, was scanned seven times using a GE Healthcare 3.0 T MRI system. Four acquisition protocols were evaluated: 30-direction DTI (b = 1000s/mm²), 60 and 90-direction High Angular Resolution Diffusion Imaging (HARDI; b = 1300s/mm²), and 30-direction Diffusion Kurtosis Imaging (DKI; b = 250, 500, 750, 1000, 1500, 2000, 2500, 3000 s/mm²). Repeatability was quantified using coefficient of variation (CoV) and intraclass correlation coefficient (ICC) for scalar diffusion metrics across six regions of interest. Fiber orientation distribution functions (fODFs) were analyzed to assess crossing fiber resolution accuracy.</p><p><strong>Results: </strong>DTI-derived metrics demonstrated excellent repeatability, with fractional anisotropy (FA) CoV < 10% and mean, axial, and radial diffusivities < 3%. DKI-derived metrics exhibited greater variability, though kurtosis FA remained stable (CoV ∼7%). Generalized FA showed improved reliability with increased angular resolution (ICC = 0.8445 for 90-direction HARDI). fODFs accurately resolved crossing fibers at 90° (RMSE = 3.49°) and 45° (RMSE = 8.92°) but failed at 30° separation.</p><p><strong>Conclusion: </strong>The phantom provides reliable repeatability for standard DTI metrics and demonstrates utility for quality assurance of advanced diffusion models with high angular resolution protocols.</p>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":" ","pages":"339-348"},"PeriodicalIF":3.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147369758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterizing the Diffusion Properties of Prostate Tissue Using Paired MR Microscopy and Multidimensional Diffusion MRI.","authors":"Adam Phipps, Nyoman D Kurniawan, Geoff Watson, Paul Sved, Samson Dowland, Eleftheria Panagiotaki, David Atkinson, Roger Bourne","doi":"10.1002/mrm.70344","DOIUrl":"10.1002/mrm.70344","url":null,"abstract":"<p><strong>Purpose: </strong>To characterize the diffusion properties of prostate epithelium and stroma in benign tissue and cancer.</p><p><strong>Methods: </strong>Paired MR microscopy (20 μm) and multidimensional diffusion MRI (dMRI) (160 μm, b = 1000-2000 s/mm², ∆ = 15-120 ms) were performed at 16.4 T on 17 fixed prostate tissue samples (14× benign, 2× Gleason 3 + 3, 1× Gleason 4 + 4). MR microscopy images were used to segment epithelial, stromal, and luminal components in each sample. For each dMRI sequence, aggregate epithelial and stromal signal contributions in benign tissue were estimated using a linear epithelium-stroma-lumen signal model. Four diffusion signal models were fit to these aggregate signals. Quality-of-fit was assessed using the small-sample corrected Akaike Information Criterion (AICc). Voxel-wise model fitting was also performed to compare parameter estimates in benign tissue and cancer.</p><p><strong>Results: </strong>Aggregate dMRI signal estimates for both epithelium and stroma were best described by the Ball + Sphere model (lowest AICc). A higher sphere fraction (0.278 vs. 0.175) and lower ball-compartment diffusivity (0.611 vs. 0.943 μm²/ms) were estimated for epithelium compared to stroma. The ADC model provided the worst fit in both cases (highest AICc). For Gleason 3 + 3 cancer, ADC and Ball + Sphere parameter estimates were consistent with the values found for benign epithelium and stroma; however, raised sphere fraction estimates were seen in Gleason 4 + 4 cancer.</p><p><strong>Conclusion: </strong>Direction-averaged diffusion in fixed prostate epithelium and stroma is well described by the Ball + Sphere model. The diffusion properties of epithelium in Gleason 3 + 3 cancer and benign tissue appear to be similar; however, a marked increase to the volume fraction of restricted water was found for Gleason 4 + 4 epithelium.</p>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":" ","pages":"349-365"},"PeriodicalIF":3.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147513354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tissue Strain Mapping via Magnetic Resonance Elastography Can Be Used to Detect Active Lesion Expansion.","authors":"Ziying Yin, David S Lake, Armando Manduca, John Huston, Richard L Ehman","doi":"10.1002/mrm.70311","DOIUrl":"10.1002/mrm.70311","url":null,"abstract":"<p><strong>Purpose: </strong>Active lesion expansion is clinically important because it can indicate disease progression and influence management and treatment planning. However, sequential imaging is often unavailable, and rapid growth can only be inferred from indirect findings such as active perilesional tissue injury. This study aimed to implement and test the feasibility of an MR elastography (MRE)-based technique for assessing the expansile nature of mass lesions by detecting stiffness changes caused by mechanical strain manifestations in adjacent tissues.</p><p><strong>Methods: </strong>A tissue strain mapping (TSM) algorithm was developed using spatial-temporal directional filtering to reveal the presence of perilesional latent strain that is not apparent in conventional MRE inversions. The technical feasibility was tested in tissue-simulating phantoms containing a mass that was progressively expanded. Preliminary feasibility for clinical application was also demonstrated in representative in vivo examples. Resulting TSM maps were compared with conventional MRE stiffness maps.</p><p><strong>Results: </strong>In the phantom experiments, TSM revealed the presence of local strain at the periphery of the expanding mass, with the effect increasing proportionally to the degree of expansion. Conventional MRE did not demonstrate comparable localized stiffening patterns. In vivo examples showed similar perilesional strain features that were not apparent on conventional MRE maps.</p><p><strong>Conclusion: </strong>The feasibility of the proposed MRE-based TSM technique was demonstrated in phantom and preliminary in vivo studies. These findings suggest that the technique is a promising tool for assessing the expansile nature of mass lesions and motivate further development of the TSM processing and exploration of potential clinical applications.</p>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":" ","pages":"273-286"},"PeriodicalIF":3.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13010385/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146220263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chemical Shift Separated and Compensated Ultra-Short Echo-Time Imaging.","authors":"Martin Krämer, Lumeng Cui, Jürgen R Reichenbach, Stefan Sommer","doi":"10.1002/mrm.70327","DOIUrl":"10.1002/mrm.70327","url":null,"abstract":"<p><strong>Purpose: </strong>To develop a modified binomial excitation scheme for ultra-short echo-time (UTE) imaging that allows for the separation of water and fat signals and the correction of chemical shift artifacts.</p><p><strong>Methods: </strong>Theoretical derivation and numerical Bloch simulations were performed for a modified water-excitation binomial pulse scheme to calculate fat and water signals as well as a chemical shift corrected UTE image from two acquisitions with these configurations. Chemical shift correction was applied at the readout level by multiplying the fat signal with a corresponding linear phase term. Measurements with the proposed binomial pulse scheme were performed at 3 T and 7 T.</p><p><strong>Results: </strong>Imaging results at 7 T and 3 T showed robust fat and water separation and images free of chemical shift-induced blurring after applying the proposed method. Compared to standard UTE, the corrected UTE images exhibited improved tissue boundary delineation and improved visibility of fine details. Bloch simulations demonstrated that deviations of the phase differences between water and fat from the analytical solution were below 1% for typical UTE acquisition parameters.</p><p><strong>Conclusion: </strong>The proposed binomial excitation scheme and post-processing effectively separate water and fat signals and correct for chemical shift artifacts in UTE imaging, providing improved image quality, especially at high field strengths.</p>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":" ","pages":"121-133"},"PeriodicalIF":3.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147317459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinically Feasible White Matter Fiber Tractography in Peritumoral Zones With Cerebral Vasogenic Edema.","authors":"Patryk Filipiak, Timothy M Shepherd, Kamri Clarke, Gaia Ressa, Dimitris G Placantonakis, Fernando E Boada, Steven H Baete","doi":"10.1002/mrm.70314","DOIUrl":"10.1002/mrm.70314","url":null,"abstract":"<p><strong>Purpose: </strong>In diffusion MRI, vasogenic edema manifests as a major fraction of isotropic water that dilutes the anisotropic intra-axonal portion of the signal. Many tractography algorithms mistake vasogenic edema for the white matter boundary and terminate tracking to prevent producing spurious streamlines. As a result, visual representations of fascicles traversing edema are often compromised, limiting the clinical utility of tractography.</p><p><strong>Methods: </strong>We address this hurdle with ODF-Fingerprinting (ODF-FP)-a dictionary-based fiber reconstruction algorithm that accommodates variability of neural tissue. By adding a regularization term to the ODF-FP matching formula, we counterbalance the drop of diffusion anisotropy in edematous regions to improve white matter fiber identification. In 19 glioma cases with significant peritumoral vasogenic edema, we quantify the volume of the reconstructed white matter tracts immersed in edema, then we use the cortical regions activated during task-based functional MRI as validation for tractography. To assess the potential for clinical translation, we additionally test the performance of ODF-FP on subsampled single-shell diffusion-weighted images, which contemporary clinical scanners can acquire within a few minutes.</p><p><strong>Results: </strong>Our approach produces high volumes of streamlines traversing vasogenic edema and reaches high overlap with the cortical regions activated at task-based fMRI, significantly outperforming common fiber reconstruction methods in the clinically feasible data set.</p><p><strong>Conclusion: </strong>ODF-FP proves effective on research and clinical quality dMRI, which offers an opportunity for application in neurosurgery.</p>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":" ","pages":"287-301"},"PeriodicalIF":3.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147271306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation-Informed Evaluation of Microvascular Parameter Mapping for Diffusion MR Imaging of Solid Tumours.","authors":"Anna Kira Voronova, Olivia Prior, Athanasios Grigoriou, Francesc Salvà, Elena Elez, Luz M Atlagich, Roser Sala-Llonch, Marco Palombo, Els Fieremans, Dmitry S Novikov, Raquel Perez-Lopez, Francesco Grussu","doi":"10.1002/mrm.70318","DOIUrl":"10.1002/mrm.70318","url":null,"abstract":"<p><strong>Purpose: </strong>We aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer.</p><p><strong>Methods: </strong>We adopted simulation-informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (flow-compensated [FC], non-compensated [NC], hybrid), featuring different <math> <semantics><mrow><mi>b</mi></mrow> <annotation>$$ b $$</annotation></semantics> </math> samplings and diffusion times. We estimated the number of independent, recoverable signal degrees of freedom in presence of noise (signal-to-noise ratio of 5), and ranked 12 microvascular metrics depending on the quality of their estimation. Lastly, we demonstrated the feasibility of estimating the top-ranking metrics on 3T dMRI of a healthy volunteer and of a metastatic colorectal cancer (CRC) patient.</p><p><strong>Results: </strong>Both NC and FC synthetic vascular signals exhibited complex behaviour as, for example, non-zero kurtosis and diffusion time dependence. Two independent degrees of freedom appeared recoverable from directionally-averaged vascular signals (SNR of 5). Mean volumetric flow rate <math> <semantics> <mrow> <msub><mrow><mi>q</mi></mrow> <mrow><mi>m</mi></mrow> </msub> </mrow> <annotation>$$ {q}_m $$</annotation></semantics> </math> and an Apparent Network Branching (ANB) index maximised correlations between ground truth and estimated values in silico. In the patient, both <math> <semantics> <mrow> <msub><mrow><mi>q</mi></mrow> <mrow><mi>m</mi></mrow> </msub> </mrow> <annotation>$$ {q}_m $$</annotation></semantics> </math> and <math> <semantics><mrow><mi>A</mi> <mi>N</mi> <mi>B</mi></mrow> <annotation>$$ ANB $$</annotation></semantics> </math> detected re-vascularisation after 3 months of targeted therapy against liver metastases, consistently with Intra-Voxel Incoherent Motion (IVIM) metrics.</p><p><strong>Conclusions: </strong>Simulation-based modelling of the vascular dMRI signal suggests <math> <semantics> <mrow> <msub><mrow><mi>q</mi></mrow> <mrow><mi>m</mi></mrow> </msub> </mrow> <annotation>$$ {q}_m $$</annotation></semantics> </math> and <math> <semantics><mrow><mi>A</mi> <mi>N</mi> <mi>B</mi></mrow> <annotation>$$ ANB $$</annotation></semantics> </math> as the most promising metrics for tissue microvasculature characterisation. Their estimation in vivo appears feasible to capture general trends, and demonstrates contrasts that are biologically plausible, encouraging their usage in future studies.</p>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":" ","pages":"387-402"},"PeriodicalIF":3.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147372578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform.","authors":"Zihan Ning, Yannick Brackenier, Sarah McElroy, Sara Neves Silva, Lucilio Cordero-Grande, Samuel Rot, Liane S Canas, Rebecca E Thornley, David Leitão, Davide Poccecai, Andrew Cantell, Rene Kerosi, Anthony N Price, Jon Cleary, Donald J Tournier, Jana Hutter, Philippa Bridgen, Pierluigi Di Cio, Michela Cleri, Inka Granlund, Lucy Billimoria, Yasmin Blunck, Shaihan Malik, Marc Modat, Sebastien Ourselin, Claire J Steves, Joseph V Hajnal","doi":"10.1002/mrm.70304","DOIUrl":"10.1002/mrm.70304","url":null,"abstract":"<p><strong>Purpose: </strong>To develop and validate a practical, open-source framework to overcome common issues in inline deployment of established offline MR reconstruction, including (1) scan disruption from lengthy reconstructions, (2) limited support for multi-scan input reconstructions, (3) needs to adapt scripts for different raw-data formats, and (4) limited guidance and experience in retaining scanner reconstructions and applying scanner-based post-processing to custom-reconstructed images.</p><p><strong>Methods: </strong>The framework builds upon the Gadgetron platform as implemented on Siemens scanners and includes: (1) a general input converter to convert Gadgetron-used ISMRMRD format raw into a Siemens format raw structure, facilitating reuse of code; (2) an asynchronous trigger-and-retrieve mechanism enabling long custom reconstructions without delaying scanner processes; (3) resource-aware scheduling for parallel execution of reconstructions; (4) integrated file management to support multi-scan inputs; and (5) preservation of scanner-based reconstructions and post-processing. The framework was validated on 2 Siemens scanners for SENSE, AlignedSENSE, and NUFFT reconstructions, and in a large-cohort study.</p><p><strong>Results: </strong>Minimum code modification for inline deployment was demonstrated, and all reconstructions were successfully executed inline without disrupting scanner workflows. Images were retrieved automatically via retrieval scans or manually via retro-reconstruction, with scanner-based post-processing applied to custom outputs. Multi-sequence reconstructions were executed using GPU-aware scheduling, confirming feasibility for large-scale applications. In 480 examinations, inline reconstructions were retrieved in 99% of cases without disruptions.</p><p><strong>Conclusion: </strong>The framework lowers the technical barrier to inline deployment of offline reconstructions, enabling robust, scalable, and post-processing-compatible integration. It is openly available with documentation and demonstration cases to support reproducibility and community adoption.</p>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":" ","pages":"448-459"},"PeriodicalIF":3.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147593012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}