Journal of Magnetic Resonance Imaging最新文献

{"title":"Benchmarking Hybrid CNN-Transformer Versus Pure Transformer Architectures for Accelerated Hyperpolarized ¹²⁹Xe MRI Reconstruction.","authors":"Ramtin Babaeipour, Matthew S Fox, Grace Parraga, Alexei Ouriadov","doi":"10.1002/jmri.70314","DOIUrl":"https://doi.org/10.1002/jmri.70314","url":null,"abstract":"<p><strong>Background: </strong>Hyperpolarized ¹²⁹Xe MRI faces technical challenges including low signal-to-noise ratio and breath-hold constraints. Current literature focuses on proprietary deep learning methods or image-domain enhancements.</p><p><strong>Purpose: </strong>To present a comprehensive evaluation of transformer and hybrid CNN-transformer architectures integrating dual-domain (k-space and image) processing for HP ¹²⁹Xe MRI reconstruction.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>Two hundred five participants (22 healthy [male and female, 18-85 years], 26 COPD [male and female, 50-85 years], 90 asthma [male and female, 18-70 years], 67 long-COVID [male and female, 18-70 years]) yielding 1640 2D slices. Dataset split: 80% training (1312 slices), 10% validation (164 slices), 10% test (164 slices).</p><p><strong>Field strength/sequence: </strong>3 T; 3D fast gradient-recalled echo.</p><p><strong>Assessment: </strong>Five architectures were compared: KTMR (hybrid transformer-CNN), KIKI-net (pure CNN), ReconFormer, SwinMR, and MR-IPT (pure transformer) at acceleration factors of 3, 7, and 10. Performance was assessed using peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), and normalized mean squared error (NMSE). Ventilation defect percentage (VDP) agreement with semi-automated analysis was evaluated.</p><p><strong>Statistical tests: </strong>Friedman test with post hoc Dunn's test and Benjamini-Hochberg correction for multiple comparisons. Significance level: p < 0.05.</p><p><strong>Results: </strong>At 10-fold acceleration, KTMR produced PSNR of 36.4 ± 2.8 dB and SSIM of 0.88 ± 0.12, significantly outperforming KIKI-net (32.5 ± 3.4 dB, 0.81 ± 0.12), ReconFormer (29.7 ± 2.6 dB, 0.76 ± 0.12), SwinMR (30.5 ± 2.8 dB, 0.76 ± 0.09), and MR-IPT (28.8 ± 2.4 dB, 0.74 ± 0.11). VDP measurements showed mean bias of 1.94% at 3-fold, 2.12% at 7-fold, and 2.69% at 10-fold acceleration.</p><p><strong>Data conclusion: </strong>KTMR demonstrated superior performance for HP ¹²⁹Xe MRI reconstruction at high acceleration factors.</p><p><strong>Evidence level: </strong>3.</p><p><strong>Technical efficacy: </strong>Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147530064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for \"Detection of Coronary Microvascular Dysfunction in Diabetic Mice Using Arterial Spin Labeling Cardiac MRI: A Multimodality Imaging Comparison\".","authors":"Cian M Scannell, Robert J Holtackers","doi":"10.1002/jmri.70309","DOIUrl":"https://doi.org/10.1002/jmri.70309","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147512714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for \"Hemodynamic Mechanisms in Venous Pulsatile Tinnitus: A 4D Flow MRI Analysis of Transverse-Sigmoid Sinus Abnormalities\".","authors":"Liwei Hu, Luguang Chen","doi":"10.1002/jmri.70306","DOIUrl":"https://doi.org/10.1002/jmri.70306","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147512718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis.","authors":"Mika T Nevalainen, Olli Nykänen, Jyri Järvinen, Antti Kemppainen, Lasse Räsänen, Victor Casula, Martijn Cloos, Riccardo Lattanzi, Mikko J Nissi, Miika T Nieminen","doi":"10.1002/jmri.70300","DOIUrl":"https://doi.org/10.1002/jmri.70300","url":null,"abstract":"<p><strong>Background: </strong>Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative parameter mapping from which synthetic clinical contrast images can be derived using deep learning (DL).</p><p><strong>Purpose: </strong>This study evaluates the reliability and interchangeability of MRF-derived synthetic knee MRI relative to conventional MRI in patients with osteoarthritis.</p><p><strong>Study type: </strong>Prospective single-center comparative study.</p><p><strong>Subjects: </strong>Between March 2022 and 2023, 78 participants (54 females, mean age 57.2, range 33-78 years) with knee osteoarthritis.</p><p><strong>Field strength/sequence: </strong>3.0 T; proton density weighted (PDw) imaging, T2-weighted fat-saturated (T2w fs) imaging, and MRF.</p><p><strong>Assessment: </strong>U-Nets were trained to produce synthetic contrasts from MRF data. Three musculoskeletal radiologists performed MRI OsteoArthritis Knee Score (MOAKS) assessments and image quality evaluation using a Likert scale (1-5).</p><p><strong>Statistical tests: </strong>The inter-rater and inter-method reliability were evaluated using prevalence-and-bias-adjusted kappa (PABAK), and percentages of exact matches. Image quality scores were compared using the Wilcoxon test. The limit of statistical significance was set at p < 0.05 and no multiple comparisons corrections were applied.</p><p><strong>Results: </strong>The inter-rater reliability for synthetic MR images varied between 0.980-0.994 (CI 0.975-0.997; exact matches 77.%-89.2%) and for conventional MR images between 0.979 and 0.994 (CI 0.973-0.997; exact matches 75.3%-89.5%). Inter-method reliability between synthetic and conventional MR images was near-perfect: mean PABAK-values and exact matches were 0.927 and 77.9% for cartilage, 0.915 and 89.7% for bone marrow lesions, 0.922 and 65.2% for osteophytes, 0.950 and 72.9% for meniscus pathology, 0.934 and 66.6% for effusion, and 0.857 and 92.5% for Baker's cyst. Average Likert scores were significantly better for conventional than synthetic images: 4.5 vs. 3.9 for PDw and 4.1 vs. 3.2 for T2w fs.</p><p><strong>Data conclusion: </strong>MRF-derived DL-based synthetic clinical contrasts provide excellent inter-rater reliability and interchangeability against conventional MR sequences in knee OA; however, image quality needs further development.</p><p><strong>Evidence level: </strong>2.</p><p><strong>Stage of technical efficacy: </strong>2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147512736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hemodynamic Mechanisms in Venous Pulsatile Tinnitus: A 4D Flow MRI Analysis of Transverse-Sigmoid Sinus Abnormalities.","authors":"Ke Lv, Huiying Wang, Kaixu Xu, Jingyi Zhang, Shuxin Ma, Wencan Fu, Ying Liu, Shuang Xia","doi":"10.1002/jmri.70302","DOIUrl":"https://doi.org/10.1002/jmri.70302","url":null,"abstract":"<p><strong>Background: </strong>Venous pulsatile tinnitus (VPT) is associated with transverse-sigmoid sinus (TSS) anomalies, bone dehiscence (BD), and hemodynamic disturbances. 4D Flow MRI enables comprehensive TSS evaluation, but causal relationships among TSS morphology, hemodynamics, and BD in VPT onset and progression remain unquantified. Reliable imaging predictors for VPT progression and BD's mediating role are unestablished.</p><p><strong>Purpose: </strong>To construct a directed acyclic graph (DAG) testing whether stenosis-induced hemodynamic abnormalities and bone changes predict VPT occurrence and 6-month progression.</p><p><strong>Study type: </strong>Prospective longitudinal cohort study.</p><p><strong>Population: </strong>126 unilateral VPT patients (36 [31-44] years; 73.0% female) and 83 matched non-VPT participants (35 [28-42] years; 71.1% female); all VPT patients completed 6-month symptom follow-up.</p><p><strong>Field strength/sequence: </strong>3 T multi-shot turbo field echo 4D Flow MRI and fast field echo phase-contrast MR venography (PC MRV).</p><p><strong>Assessment: </strong>Three blinded neuroradiologists independently assessed TSS morphology, hemodynamic indices, and petrous BD using PC MRV, 4D Flow MRI, and high-resolution CT multiplanar reconstruction. Interobserver reliability was evaluated with discrepancies resolved by consensus.</p><p><strong>Statistical tests: </strong>Kolmogorov-Smirnov, Chi-Square, Mann-Whitney U test, FDR-corrected correlation analysis, linear/logistic regression, mediation analysis, and ROC curve analysis.</p><p><strong>Significance: </strong>p < 0.05.</p><p><strong>Results: </strong>74.6% of VPT patients had 6-month progression (increased Tinnitus Handicap Inventory, THI score vs. baseline). Peak flow velocity (38.79 cm/s cut-off) independently predicted 6-month progression (area under the curve, AUC = 0.840; 95% confidence interval, CI: 0.755-0.925). TSS stenosis combined with hemodynamic parameters predicted VPT occurrence (AUC = 0.895, 95% CI: 0.855-0.936). Mediation analysis confirmed BD mediated the effect of wall shear stress on THI. Hierarchical causal pathways among TSS morphology, hemodynamics, BD, and VPT were identified to verify quantifiable DAG.</p><p><strong>Data conclusion: </strong>TSS stenosis initiates hemodynamic disturbances and bone changes, which collectively drive VPT occurrence and 6-month progression. Integrating these morphological and hemodynamic parameters yields accurate predictive models.</p><p><strong>Evidence level: </strong>4.</p><p><strong>Technical efficacy: </strong>Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147504114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cardiac MRI as Living Histology: Tissue-Based Risk Stratification After STEMI.","authors":"Xing-Yu Gu, Jing-Ping Wu, Lian-Ming Wu","doi":"10.1002/jmri.70317","DOIUrl":"https://doi.org/10.1002/jmri.70317","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147512730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of Coronary Microvascular Dysfunction in Diabetic Mice Using Arterial Spin Labeling Cardiac MRI: A Multimodality Imaging Comparison.","authors":"Qinfang Miao, Yefei Shi, Bo Li, Rui Luo, Ke Yang, Hongzhang Huang, Kadierya Yibulayin, Guanye Yu, Wenhui Peng, Jing Tian, Weixia Jian, Haikun Qi","doi":"10.1002/jmri.70304","DOIUrl":"https://doi.org/10.1002/jmri.70304","url":null,"abstract":"<p><strong>Background: </strong>Coronary microvascular dysfunction (CMD) is a major contributor to cardiovascular complications in diabetes. Although noninvasive techniques such as arterial spin labeling cardiac MRI (ASL-MRI) and transthoracic echocardiography (TTE) are available, their comparative performance for CMD remains unclear.</p><p><strong>Purpose: </strong>To compare ASL-MRI and TTE for CMD assessment in type 1 and type 2 (T1DM, T2DM) mouse models and relate functional indices to histological microvascular and myocardial remodeling, including early-stage T2DM (8w-T2DM).</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Animal model: </strong>Forty 8-week-old male C57BL/6J mice allocated to five groups: control, T1DM, and T2DM (n = 10 per group, imaged 16 weeks postinduction), and early-stage T2DM (8w-T2DM) and age-matched controls (n = 5 per group, imaged 8 weeks post-induction).</p><p><strong>Field strength/sequence: </strong>Segmented FLASH cine, steady-pulsed labeling ASL, and inversion-recovery segmented FLASH (T1 mapping) sequences at 9.4 T.</p><p><strong>Assessment: </strong>Rest/stress myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) were derived from ASL data using a model-based approach incorporating native T1 (from segmented FLASH data). Coronary flow velocity (CFV) and reserve (CFVR) were measured by TTE at rest (1.5% isoflurane) and stress (2.5% isoflurane). Histology included assessment of hematoxylin-eosin (myocyte area), Masson (collagen), and IB4 (capillary density).</p><p><strong>Statistical tests: </strong>Group comparisons used t-tests, Mann-Whitney U tests, and one-/two-way ANOVA with Bonferroni correction; correlations were assessed with Pearson or Spearman coefficients (r). p < 0.05 was considered significant.</p><p><strong>Results: </strong>38 animals completed MR and TTE imaging. At 16 weeks, stress diastolic MBF was significantly lower in T1DM (14.67 ± 1.62 mL/g/min) and T2DM (13.42 ± 2.44 mL/g/min) vs. controls (22.19 ± 0.25 mL/g/min), with significantly reduced MPR in T2DM (1.53 ± 0.17 vs. 2.27 ± 0.15). TTE showed significantly reduced CFVR only in T2DM (2.16 ± 0.24 vs. 2.75 ± 0.24). In 8w-T2DM, ASL-MRI detected significantly reduced MPR (1.87 ± 0.16 vs. 2.26 ± 0.13), whereas TTE showed no significant CFVR change (p = 0.900). Capillary density significantly decreased in 16-week and 8-week T2DM. IB4-positive area correlated with CFVR (r = 0.673) and more strongly with MPR (r = 0.810).</p><p><strong>Conclusion: </strong>ASL-MRI detected CMD in diabetic mice, outperforming TTE in early-stage disease and showing a strong association with microvascular injury.</p><p><strong>Evidence level: </strong>1.</p><p><strong>Technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147486208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of Magnetic Resonance Spectroscopy (MRS), Diffusion-Tensor-Imaging (DTI) and Structural MRI in the Alzheimer's Disease and Mild Cognitive Impairment Diagnosis: A Review.","authors":"Valentina Zecca, Gianmauro Palombelli, Nicola Vanacore, Rossella Canese","doi":"10.1002/jmri.70296","DOIUrl":"https://doi.org/10.1002/jmri.70296","url":null,"abstract":"<p><p>Alzheimer's disease (AD) is one of the most common neurological disorders affecting older adults, with approximately 7.2 million cases only in the United States. This number is projected to increase to 13.8 million in the United States by 2060, leading to increased expenditures for healthcare, long-term care and hospice services. Consequently, great emphasis is placed on prevention and the development of early diagnosis techniques, which can lead to timely treatment and the prevention of the consequences of full-blown disease. In this review, we analyze the potential diagnostic value of biomarkers derived from a multimodal approach based on magnetic resonance spectroscopy, diffusion tensor imaging, and magnetic resonance imaging, capable of detecting metabolic, microstructural, and anatomical changes, respectively, that precede the cognitive and behavioral changes observed in AD by years. The primary aim is to evaluate whether the combined and complementary use of these methods can identify early biomarkers useful for recognizing AD in its early stages, predicting progression from MCI to AD, supporting patient stratification, and monitoring cognitive decline or response to treatment. We identified regions more susceptible to metabolic alterations (PCC and hippocampus) and trajectories of structural brain alterations (atrophy or diffusivity abnormalities). The assessment of such imaging biomarkers may serve as the foundation for future prospective studies aimed at developing differential diagnostic methods, a crucial goal within the broader context of dementias, by adopting standardized multimodal MRI protocols. EVIDENCE LEVEL: 3. TECHNICAL EFFICACY: Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147480803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved BG-PVS Quantification in Infant Brain MRI Using Anatomy-Informed Pseudo-Labels for Joint BG and PVS Segmentation.","authors":"Junghwa Kang, Dayeon Bak, Na-Young Shin, Hyun Gi Kim, Yoonho Nam","doi":"10.1002/jmri.70298","DOIUrl":"https://doi.org/10.1002/jmri.70298","url":null,"abstract":"<p><strong>Background: </strong>Reliable quantification of perivascular spaces (PVS) in the basal ganglia (BG) is of growing interest for understanding the glymphatic system but remains challenging in infants.</p><p><strong>Purpose: </strong>To develop an automated deep learning method for BG and BG-PVS segmentation in infant brain MRI using an anatomy-informed pseudo-labeling approach.</p><p><strong>Study type: </strong>Retrospective, multi-cohort technical development, and validation study.</p><p><strong>Population: </strong>Three cohorts: 150 neonates from the Developing Human Connectome Project (dHCP, 37-44 weeks of gestational age (GA); 76 males, 74 females), 133 infants from the Baby Connectome Project (BCP; ≤ 24 months; 70 males, 63 females) and 70 infants from an in-house dataset (30-41 weeks of GA; 36 males, 34 females). Manual ground-truth labels were generated by a trained researcher (dHCP, n = 150; BCP, n = 8; in-house, n = 10) and validated by a radiologist with 15 years of experience.</p><p><strong>Field strength/sequence: </strong>Data included 3 T MRI with T1- and T2-weighted sequences: dHCP (inversion recovery turbo spin-echo [IR-TSE] and turbo spin-echo [TSE]), BCP (magnetization-prepared rapid gradient-echo [MPRAGE] and TSE), and in-house (MPRAGE and variable-flip-angle TSE).</p><p><strong>Assessment: </strong>The proposed approach was compared with alternative automated approaches trained with different labeling strategies. Training/validation/test splits were 100/25/25 (dHCP), 100/25/8 (BCP), and 50/10/10 (in-house).</p><p><strong>Statistical tests: </strong>Dice similarity coefficient (DSC), recall, positive predictive value, and Hausdorff distance were calculated for BG and BG-PVS quantification. Statistical significance was assessed using Wilcoxon signed-rank tests (p < 0.05), and quantification agreement was evaluated using Pearson's correlation, intraclass correlation coefficient (ICC), and mean absolute error (MAE).</p><p><strong>Results: </strong>The proposed method improved accuracy (dHCP: BG DSC = 0.91 ± 0.03 and BG-PVS DSC = 0.78 ± 0.09; external datasets with fine-tuning: BG DSC = 0.86-0.89) and high agreement in PVS quantification with reference measurements (r = 0.90-0.99, ICC ≥ 0.96, MAE = 0.10).</p><p><strong>Data conclusion: </strong>The proposed method seems to enable robust and annotation-efficient BG and BG-PVS segmentation in infants.</p><p><strong>Evidence level: </strong>3.</p><p><strong>Technical efficacy: </strong>1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147486233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards Clinical Translation of Intravoxel Incoherent Motion MRI: Acquisition and Analysis Consensus Recommendations.","authors":"Eric E Sigmund, Susanne S Rauh, Mami Iima, Christian Federau, Diego Hernando, Oscar Jalnefjord, Jacobus F A Jansen, Jonas Jasse, Neil Peter Jerome, Misha P T Kaandorp, Sila Kurugol, Frederik B Laun, Mira M Liu, Alexandra Ljimani, Thoralf Niendorf, David A Reiter, Mohammed Salman Shazeeb, Amita Shukla-Dave, Julia Stabinska, Andreas Wetscherek, Peter T While, Dan Wu, Denis Le Bihan, Oliver J Gurney-Champion","doi":"10.1002/jmri.70278","DOIUrl":"10.1002/jmri.70278","url":null,"abstract":"<p><p>Intravoxel incoherent motion (IVIM) MRI allows for simultaneous assessment of tissue microcirculation (perfusion) and diffusion of water. In single-center studies, IVIM has shown great potential for diagnosis, treatment outcome prediction, and treatment monitoring for many different diseases and organs. However, heterogeneity in data acquisition protocols, pre-processing pipelines, and post-processing routines yields differences in reported IVIM parameters, which has constrained large-scale deployment of IVIM. Moreover, deploying IVIM protocols and analysis typically requires technical expertise, further challenging wider use, especially for clinicians. In this consensus paper, to accelerate the deployment of IVIM, we provide recommendations and harmonize protocols for brain, breast, kidney, liver, muscle, and pancreas IVIM studies. For this goal we organized multiple questionnaires and held a dedicated workshop. To ensure a level of standardized, reproducible results, without restricting innovation, we suggest a small subset of b-values to always be measured and analyzed separately, and to which more extensive b-value sampling can be added for advanced investigations. We further introduce detailed recommendations on acquisition protocols and analysis pipelines. To increase consistency, repeatability, and reproducibility, we highly recommend that these protocols and pipelines be deployed by scientists and clinicians for IVIM studies. For advanced users who desire different protocols or analysis approaches, we suggest adding results from our suggested protocols and analysis pipeline in the supplemental part of their paper to enable retrospective studies.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147480849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}