ArticleRadiology. Artificial intelligence2022
A Deep Learning Segmentation Pipeline for Cardiac T1 Mapping Using MRI Relaxation-based Synthetic Contrast Augmentation.
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Article in Radiology. Artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% of its field
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation: An Updated Checklist.JACC. Cardiovascular imaging · 2026Guideline
- AI-Driven Generation of Post-Contrast T1 and ECV Maps from Native T1 Map in Cardiac MRI.Diagnostics (Basel, Switzerland) · 2026Article
- From Promise to Practice: Real-World Readiness of Artificial Intelligence for Cardiac Magnetic Resonance Imaging.Korean journal of radiology · 2026Article
- Artificial Intelligence in Cardiac Amyloidosis: A State-of-the-Art Review.Journal of clinical medicine · 2026Review
- Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR.Scientific reports · 2026Article
- A pipeline for developing deep learning prognostic prediction models in cardiac magnetic resonance image analysis.European heart journal. Digital health · 2026Article
- Standardized Myocardial T1 and T2 Relaxation Times: Defining Age- and Comorbidity-Adjusted Reference Values for Improved CMR-Based Tissue Characterization.Journal of clinical medicine · 2025Article
- Advanced Myocardial MRI Tissue Characterization Combining Contrast Agent-Free T1-Rho Mapping With Fully Automated Analysis.Journal of magnetic resonance imaging : JMRI · 2025Article
- Development and performance evaluation of fully automated deep learning-based models for myocardial segmentation on T1 mapping MRI data.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 1 country.
Nitish BhattFaculty of Medicine (N.B.), Department of Medical Imaging (L.G., L.J.J.), Department of Medicine (I.R.), and Department of Medical Biophysics (G.A.W., N.R.G.), University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S A18; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada (N.B., V.R., L.B., M.N., F.G., X.Q., G.A.W., N.R.G.); Schulich Heart Program (V.R., A.O., L.B., M.N., F.G., X.Q., I.R., G.A.W., N.R.G.) and Department of Radiology (L.G., L.J.J.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and Department of Radiology, St Michael's Hospital, Toronto, Ontario, Canada (L.J.J.).ORCID 0000-0002-3630-3447
Venkat RamananFaculty of Medicine (N.B.), Department of Medical Imaging (L.G., L.J.J.), Department of Medicine (I.R.), and Department of Medical Biophysics (G.A.W., N.R.G.), University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S A18; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada (N.B., V.R., L.B., M.N., F.G., X.Q., G.A.W., N.R.G.); Schulich Heart Program (V.R., A.O., L.B., M.N., F.G., X.Q., I.R., G.A.W., N.R.G.) and Department of Radiology (L.G., L.J.J.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and Department of Radiology, St Michael's Hospital, Toronto, Ontario, Canada (L.J.J.).
Ady OrbachFaculty of Medicine (N.B.), Department of Medical Imaging (L.G., L.J.J.), Department of Medicine (I.R.), and Department of Medical Biophysics (G.A.W., N.R.G.), University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S A18; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada (N.B., V.R., L.B., M.N., F.G., X.Q., G.A.W., N.R.G.); Schulich Heart Program (V.R., A.O., L.B., M.N., F.G., X.Q., I.R., G.A.W., N.R.G.) and Department of Radiology (L.G., L.J.J.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and Department of Radiology, St Michael's Hospital, Toronto, Ontario, Canada (L.J.J.).ORCID 0000-0003-0687-1045
Labonny BiswasFaculty of Medicine (N.B.), Department of Medical Imaging (L.G., L.J.J.), Department of Medicine (I.R.), and Department of Medical Biophysics (G.A.W., N.R.G.), University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S A18; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada (N.B., V.R., L.B., M.N., F.G., X.Q., G.A.W., N.R.G.); Schulich Heart Program (V.R., A.O., L.B., M.N., F.G., X.Q., I.R., G.A.W., N.R.G.) and Department of Radiology (L.G., L.J.J.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and Department of Radiology, St Michael's Hospital, Toronto, Ontario, Canada (L.J.J.).ORCID 0000-0002-4572-4630
Matthew NgFaculty of Medicine (N.B.), Department of Medical Imaging (L.G., L.J.J.), Department of Medicine (I.R.), and Department of Medical Biophysics (G.A.W., N.R.G.), University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S A18; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada (N.B., V.R., L.B., M.N., F.G., X.Q., G.A.W., N.R.G.); Schulich Heart Program (V.R., A.O., L.B., M.N., F.G., X.Q., I.R., G.A.W., N.R.G.) and Department of Radiology (L.G., L.J.J.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and Department of Radiology, St Michael's Hospital, Toronto, Ontario, Canada (L.J.J.).ORCID 0000-0001-8267-6167
Fumin GuoFaculty of Medicine (N.B.), Department of Medical Imaging (L.G., L.J.J.), Department of Medicine (I.R.), and Department of Medical Biophysics (G.A.W., N.R.G.), University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S A18; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada (N.B., V.R., L.B., M.N., F.G., X.Q., G.A.W., N.R.G.); Schulich Heart Program (V.R., A.O., L.B., M.N., F.G., X.Q., I.R., G.A.W., N.R.G.) and Department of Radiology (L.G., L.J.J.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and Department of Radiology, St Michael's Hospital, Toronto, Ontario, Canada (L.J.J.).ORCID 0000-0001-6220-1455
Xiuling QiFaculty of Medicine (N.B.), Department of Medical Imaging (L.G., L.J.J.), Department of Medicine (I.R.), and Department of Medical Biophysics (G.A.W., N.R.G.), University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S A18; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada (N.B., V.R., L.B., M.N., F.G., X.Q., G.A.W., N.R.G.); Schulich Heart Program (V.R., A.O., L.B., M.N., F.G., X.Q., I.R., G.A.W., N.R.G.) and Department of Radiology (L.G., L.J.J.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and Department of Radiology, St Michael's Hospital, Toronto, Ontario, Canada (L.J.J.).
Lancia GuoFaculty of Medicine (N.B.), Department of Medical Imaging (L.G., L.J.J.), Department of Medicine (I.R.), and Department of Medical Biophysics (G.A.W., N.R.G.), University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S A18; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada (N.B., V.R., L.B., M.N., F.G., X.Q., G.A.W., N.R.G.); Schulich Heart Program (V.R., A.O., L.B., M.N., F.G., X.Q., I.R., G.A.W., N.R.G.) and Department of Radiology (L.G., L.J.J.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and Department of Radiology, St Michael's Hospital, Toronto, Ontario, Canada (L.J.J.).ORCID 0000-0002-0445-4160
Laura Jimenez-JuanFaculty of Medicine (N.B.), Department of Medical Imaging (L.G., L.J.J.), Department of Medicine (I.R.), and Department of Medical Biophysics (G.A.W., N.R.G.), University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S A18; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada (N.B., V.R., L.B., M.N., F.G., X.Q., G.A.W., N.R.G.); Schulich Heart Program (V.R., A.O., L.B., M.N., F.G., X.Q., I.R., G.A.W., N.R.G.) and Department of Radiology (L.G., L.J.J.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and Department of Radiology, St Michael's Hospital, Toronto, Ontario, Canada (L.J.J.).ORCID 0000-0003-0560-7445
Idan RoifmanFaculty of Medicine (N.B.), Department of Medical Imaging (L.G., L.J.J.), Department of Medicine (I.R.), and Department of Medical Biophysics (G.A.W., N.R.G.), University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S A18; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada (N.B., V.R., L.B., M.N., F.G., X.Q., G.A.W., N.R.G.); Schulich Heart Program (V.R., A.O., L.B., M.N., F.G., X.Q., I.R., G.A.W., N.R.G.) and Department of Radiology (L.G., L.J.J.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and Department of Radiology, St Michael's Hospital, Toronto, Ontario, Canada (L.J.J.).ORCID 0000-0002-4058-4085
Graham A WrightFaculty of Medicine (N.B.), Department of Medical Imaging (L.G., L.J.J.), Department of Medicine (I.R.), and Department of Medical Biophysics (G.A.W., N.R.G.), University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S A18; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada (N.B., V.R., L.B., M.N., F.G., X.Q., G.A.W., N.R.G.); Schulich Heart Program (V.R., A.O., L.B., M.N., F.G., X.Q., I.R., G.A.W., N.R.G.) and Department of Radiology (L.G., L.J.J.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and Department of Radiology, St Michael's Hospital, Toronto, Ontario, Canada (L.J.J.).
Nilesh R GhugreFaculty of Medicine (N.B.), Department of Medical Imaging (L.G., L.J.J.), Department of Medicine (I.R.), and Department of Medical Biophysics (G.A.W., N.R.G.), University of Toronto, 1 King's College Circle, Toronto, ON, Canada M5S A18; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada (N.B., V.R., L.B., M.N., F.G., X.Q., G.A.W., N.R.G.); Schulich Heart Program (V.R., A.O., L.B., M.N., F.G., X.Q., I.R., G.A.W., N.R.G.) and Department of Radiology (L.G., L.J.J.), Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and Department of Radiology, St Michael's Hospital, Toronto, Ontario, Canada (L.J.J.).ORCID 0000-0002-5395-1956
Sunnybrook Health Science Centre · CASt. Michael's Hospital · CA
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To design and evaluate an automated deep learning method for segmentation and analysis of cardiac MRI T1 maps with use of synthetic T1-weighted images for MRI relaxation-based contrast augmentation. Materials and Methods: This retrospective study included MRI scans acquired between 2016 and 2019 from 100 patients (mean age ± SD, 55 years ± 13; 72 men) across various clinical abnormalities with use of a modified Look-Locker inversion recovery, or MOLLI, sequence to quantify native T1 (T1 Results: Internal testing showed high myocardial DSC relative to experts (0.81 ± 0.08), which was similar to interobserver DSC (0.81 ± 0.08). Automated segmental measurements strongly correlated with experts (T1 Conclusion: This deep learning method leveraging synthetic contrast augmentation may provide accurate automated T1 and ECV analysis for cardiac MRI data acquired across different abnormalities, centers, scanners, and T1 sequences.
Indexed as
CardiacConvolutional Neural NetworkDeep Learning AlgorithmsMachine Learning AlgorithmsMRISegmentationSupervised LearningTissue Characterization
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.