Synergistic multi-contrast cardiac magnetic resonance image reconstruction

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dc.contributor.authorQi, Haikun
dc.contributor.authorCruz, Gastao
dc.contributor.authorBotnar, Rene
dc.contributor.authorPrieto, Claudia
dc.date.accessioned2024-01-10T14:23:43Z
dc.date.available2024-01-10T14:23:43Z
dc.date.issued2021
dc.description.abstractCardiac magnetic resonance imaging (CMR) is an important tool for the non-invasive diagnosis of a variety of cardiovascular diseases. Parametric mapping with multi-contrast CMR is able to quantify tissue alterations in myocardial disease and promises to improve patient care. However, magnetic resonance imaging is an inherently slow imaging modality, resulting in long acquisition times for parametric mapping which acquires a series of cardiac images with different contrasts for signal fitting or dictionary matching. Furthermore, extra efforts to deal with respiratory and cardiac motion by triggering and gating further increase the scan time. Several techniques have been developed to speed up CMR acquisitions, which usually acquire less data than that required by the Nyquist-Shannon sampling theorem, followed by regularized reconstruction to mitigate undersampling artefacts. Recent advances in CMR parametric mapping speed up CMR by synergistically exploiting spatial-temporal and contrast redundancies. In this article, we will review the recent developments in multi-contrast CMR image reconstruction for parametric mapping with special focus on low-rank and model-based reconstructions. Deep learning-based multi-contrast reconstruction has recently been proposed in other magnetic resonance applications. These developments will be covered to introduce the general methodology. Current technical limitations and potential future directions are discussed.
dc.description.abstractThis article is part of the theme issue 'Synergistic tomographic image reconstruction: part 1'.
dc.description.funderEPSRC
dc.description.funderWellcome EPSRC Centre for Medical Engineering
dc.description.funderDepartment of health via the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre
dc.format.extent18 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1098/rsta.2020.0197
dc.identifier.eissn1471-2962
dc.identifier.issn1364-503X
dc.identifier.pubmedidMEDLINE:33966456
dc.identifier.urihttps://doi.org/10.1098/rsta.2020.0197
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/80132
dc.identifier.wosidWOS:000649733300005
dc.information.autorucFacultad de Ingeniería; Prieto Vasquez, Claudia Del Carmen; S/I; 14195
dc.issue.numero2200
dc.language.isoen
dc.nota.accesoSin adjunto
dc.publisherROYAL SOC
dc.rightsregistro bibliográfico
dc.subjectcardiac magnetic resonance imaging
dc.subjectaccelerated imaging
dc.subjectundersampled reconstruction
dc.subjectmulti-contrast imaging
dc.subjectparametric mapping
dc.subjectLOW-RANK
dc.subjectITERATIVE RECONSTRUCTION
dc.subjectMRI RECONSTRUCTION
dc.subjectSPARSE MRI
dc.subjectINVERSION
dc.subjectRECOVERY
dc.subjectNETWORK
dc.subjectHEART
dc.subjectMAP
dc.subjectT1
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleSynergistic multi-contrast cardiac magnetic resonance image reconstruction
dc.typeartículo de revisión
dc.volumen379
sipa.codpersvinculados14195
sipa.indexWOS
sipa.indexPubmed
sipa.trazabilidadCarga SIPA;09-01-2024
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