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However, high\u2010quality anatomical imaging and robust tissue characterization remains an active area of research, particularly when aiming for a simple, one\u2010click scan that captures all relevant information in a single acquisition. Bright\u2010blood imaging is widely used for visualizing cardiac structures and coronary arteries, whereas black\u2010blood is optimal for delineating the myocardium, atrial and vessel walls. High\u2010resolution imaging is required for the accurate detection and segmentation of small anatomical structures, such as the coronary arteries, to enable assessment of narrowing or blockages. Co\u2010registered  mapping enables quantitative myocardial tissue characterization, offering valuable clinical information for the detection of myocardial abnormalities. In this study, we sought to develop a novel free\u2010breathing, motion\u2010compensated 3D multi\u2010contrast high\u2010resolution cardiac MR sequence for simultaneous assessment of whole\u2010heart cardiovascular anatomy via bright\u2010 and black\u2010blood imaging and myocardial tissue quantification by joint  and  mapping at 0.55 T in a single scan. Data were acquired over six interleaved contrasts with various preparation modules using a variable flip angle bSSFP spiral\u2010like readout with 2D image\u2010based navigation for translational motion correction, resulting in a predictable acquisition time of  min. Images were reconstructed using non\u2010rigid motion corrected iterative sensitivity encoding followed by high\u2010dimensional patch\u2010based low\u2010rank denoising, resulting in the acquisition, reconstruction and quantitative mapping time of  min. In the phantom study, sequence performance was evaluated using correlation and Bland\u2010Altman analysis against reference gold\u2010standard and clinical mapping methods. In\u00a0vivo, 3D bright\u2010 and black\u2010blood volumes were assessed in multiple views, and vessel sharpness was quantified from multiplanar images. For joint  mapping, bull's\u2010eye plots were generated to evaluate the mean, standard deviation, and coefficient of variation for apical, mid\u2010cavity, and basal segments, and results were summarized using violin plots. Differences between the proposed 3D sequence and established 2D methods were analyzed with a two\u2010tailed \u2010test. In the phantom study, a small positive bias in  of  was observed compared with inversion recovery spin\u2010echo and  with MOLLI, while for  biases of  compared with spin\u2010echo and  with prep bSSFP were found. In\u00a0vivo, statistically similar  values of  and  values of  were obtained, with differences versus MOLLI of  () and versus prep bSSFP of  (). The proposed sequence demonstrated high image quality and accurate mapping despite the inherent limitations of low\u2010field strength, suggesting its feasibility for comprehensive cardiac assessment in resource\u2010limited environments.<\/jats:p>","DOI":"10.1002\/nbm.70317","type":"journal-article","created":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T05:32:46Z","timestamp":1780119166000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multiparametric Free\u2010Breathing 3D Whole\u2010Heart Cardiac MR for Anatomical Bright\u2010 and Black\u2010Blood Imaging With Co\u2010Registered T1\/T2 Myocardial Tissue Mapping at 0.55 T"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7608-6546","authenticated-orcid":false,"given":"Ivan","family":"Kokhanovskyi","sequence":"first","affiliation":[{"name":"Institute of Diagnostic and Interventional Radiology, School of Medicine and Health Technische Universit\u00e4t M\u00fcnchen  Munich Germany"},{"name":"Institute for Advanced Study Technische Universit\u00e4t M\u00fcnchen  Munich Germany"},{"name":"School of Biomedical Engineering and Imaging Science King's College London  London UK"},{"name":"Millenium Institute for intelligent Healthcare Engineering  Santiago Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6227-0477","authenticated-orcid":false,"given":"Carlos","family":"Castillo\u2010Passi","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering and Imaging Science King's College London  London UK"},{"name":"Millenium Institute for intelligent Healthcare Engineering  Santiago Chile"},{"name":"School of Engineering Pontificia Universidad Catolica de Chile  Santiago Chile"},{"name":"Institute for Biological and Medical Engineering Pontificia Universidad Catolica de Chile  Santiago Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7919-9731","authenticated-orcid":false,"given":"Michael G.","family":"Crabb","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering and Imaging Science King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7770-1040","authenticated-orcid":false,"given":"Diego","family":"Pedraza","sequence":"additional","affiliation":[{"name":"Millenium Institute for intelligent Healthcare Engineering  Santiago Chile"},{"name":"Institute for Biological and Medical Engineering Pontificia Universidad Catolica de Chile  Santiago Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon J.","family":"Littlewood","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering and Imaging Science King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafael","family":"De la Sotta","sequence":"additional","affiliation":[{"name":"Millenium Institute for intelligent Healthcare Engineering  Santiago Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carl","family":"Ganter","sequence":"additional","affiliation":[{"name":"Institute of Diagnostic and Interventional Radiology, School of Medicine and Health Technische Universit\u00e4t M\u00fcnchen  Munich Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karl P.","family":"Kunze","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering and Imaging Science King's College London  London UK"},{"name":"MR Research Collaborations Siemens Healthcare Limited  Camberley UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4922-3662","authenticated-orcid":false,"given":"Dimitrios C.","family":"Karampinos","sequence":"additional","affiliation":[{"name":"Institute of Diagnostic and Interventional Radiology, School of Medicine and Health Technische Universit\u00e4t M\u00fcnchen  Munich Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcus R.","family":"Makowski","sequence":"additional","affiliation":[{"name":"Institute of Diagnostic and Interventional Radiology, School of Medicine and Health Technische Universit\u00e4t M\u00fcnchen  Munich Germany"},{"name":"Institute for Advanced Study Technische Universit\u00e4t M\u00fcnchen  Munich Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5683-5889","authenticated-orcid":false,"given":"Daniel","family":"Rueckert","sequence":"additional","affiliation":[{"name":"Chair for AI in Healthcare and Medicine Technical University of Munich (TUM) and TUM University Hospital  Munich Germany"},{"name":"Department of Computing Imperial College London  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