Zugriffsnummer 41248
Dokumenttyp Konferenzartikel
Peer Review unbekannt
Sprache Englisch
Titel Comparison of three surrogate-based respiratory motion correction methods for 3D high resolution cardiac MRI
Autor(in); Institution
Ludwig, Juliane; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Speier, P.; Siemens Healthcare, Erlangen, GERMANY
Seifert, Frank; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Schäffter, Tobias; 8, Medizinphysik und metrologische Informationstechnik, PTB-Berlin; Division of Imaging Sciences and Biomedical Engineering, King's College London, UK
Kolbitsch, Christoph; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin; Division of Imaging Sciences and Biomedical Engineering, King's College London, UK
Quelle/Jahr ISMRM 26th annual meeting & exhibition: 16 June – 21 June, 2018, Paris: 26 (2018), 1 - 3
Availability [online only]
Konferenzangaben ISMRM 26th Annual Meeting & Exhibition, Paris, 16 June – 21 June, 2018, France
Freie Schlagworte cine imaging ; model‐based reconstruction ; multiparametric acquisition ; myocardial tissue characterization ; T1 mapping
Zusammenfassung Respiratory motion correction has been proposed to improve scan efficiency and ensure high image quality for 3D cardiac MRI. Nevertheless, these techniques often require dedicated data acquisition and cannot necessarily capture intra-cycle variations of the breathing. Here we compare three different surrogate signals (“pilot tone”, respiratory belt and MR-navigator) for a surrogate-based motion correction approach which provides motion information with high temporal resolution and can be combined with a wide range of different MR acquisition schemes. The temporal stability of these surrogates is assessed and motion correction of a 3D cardiac MR scan is demonstrated.

Zitierung

Ludwig, J., Speier, P., Seifert, F., Schäffter, T., & Kolbitsch, C. (2018). Comparison of three surrogate-based respiratory motion correction methods for 3D high resolution cardiac MRI. ISMRM 26th Annual Meeting & Exhibition, Paris, 16 June – 21 June, 2018, France.

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