| Zugriffsnummer | 41920 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting |
| Autor(in); Institution |
Ma, Jacki; Image and Video Coding Group, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Berlin, GERMANY
März, Maximilian; Department of Mathematics, Technische Universität Berlin, Berlin, GERMANY
Funk, Stephanie; Department of Cardiology and Nephrology, HELIOS Klinikum Berlin Buch, Berlin, GERMANY; Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine, Berlin, GERMANY
Schulze-Menger, Jeanette; Department of Cardiology and Nephrology, HELIOS Klinikum Berlin Buch, Berlin, GERMANY; Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine, Berlin, GERMANY
Kutyniok, Gitta; Department of Mathematics, Technische Universität Berlin, Berlin, GERMANY
Schäffter, Tobias; 8, Medizinphysik und metrologische Informationstechnik, PTB-Berlin; Kings College London, School of Biomedical Engineering and Imaging Sciences, London, UK
Kolbitsch, Christoph; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin; Kings College London, School of Biomedical Engineering and Imaging Sciences, London, UK
|
| Quelle/Jahr | Physics in Medicine and Biology: 63 (2018), 23, 235004-1 - 235004-17 |
| Artikelnummer | 235004 |
| ISSN | 0031-9155 (PRINT) ; 1361-6560 (ONLINE) |
| DOI | |
| Verlag | Bristol: IOP |
| Freie Schlagworte | magnetic resonance imaging ; compressive sensing ; image reconstruction-iterative methods |
| Zusammenfassung | High-resolution three-dimensional (3D) cardiovascular magnetic resonance (CMR) is a valuable medical imaging technique, but its widespread application in clinical practice is hampered by long acquisition times. Here we present a novel compressed sensing (CS) reconstruction approach using shearlets as a sparsifying transform allowing for fast 3D CMR (3DShearCS) using 3D radial phase encoding (RPE). An iterative reweighting scheme was applied during image reconstruction to ensure fast convergence and high image quality. Shearlets are mathematically optimal for a simplified model of natural images and have been proven to be more efficient than classical systems such as wavelets. 3DShearCS was compared to three other commonly used reconstruction approaches. Image quality was assessed quantitatively using general image quality metrics and using clinical diagnostic scores from expert reviewers. The proposed technique had lower relative errors, higher structural similarity and higher diagnostic scores compared to the other reconstruction techniques especially for high undersampling factors, i.e. short scan times. 3DShearCS provided ensured accurate depiction of cardiac anatomy for fast imaging and could help to promote 3D high-resolution CMR in clinical practice. |
Zitierung
Ma, J., März, M., Funk, S., Schulze-Menger, J., Kutyniok, G., Schäffter, T., & Kolbitsch, C. (2018). Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting. Physics in Medicine and Biology, 63(23), 235004-1–235004-17. https://doi.org/10.1088/1361-6560/aaea04