| Zugriffsnummer | 41741 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Pixel-wise quantification of myocardial perfusion using spatial Tikhonov regularization |
| Autor(in); Institution |
Lehnert, Judith; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Wübbeler, Gerd; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Kolbitsch, Christoph; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin; Kings College London, School of Biomedical Engineering and Imaging Sciences, London, UK
Chiribiri, Amedeo; Kings College London, School of Biomedical Engineering and Imaging Sciences, London, UNITED KINGDOM
Coquelin, Loic; LNE, Trappes, FRANCE
Ebrard, Géraldine; LNE, Trappes, FRANCE
Smith, Nadia; NPL, Teddington, UNITED KINGDOM
Schäffter, Tobias; 8, Medizinphysik und metrologische Informationstechnik, PTB-Berlin; Kings College London, School of Biomedical Engineering and Imaging Sciences, London, UNITED KINGDOM
Elster, Clemens; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
|
| Quelle/Jahr | Physics in Medicine and Biology: 63 (2018), 21, 1 - 14 |
| Artikelnummer | 215017 |
| ISSN | 0031-9155 (PRINT) ; 1361-6560 (ONLINE) |
| DOI | |
| Verlag | Bristol: IOP |
| Freie Schlagworte | cardiovascular magnetic resonance ; dynamic contrast-enhanced magnetic resonance imaging ; myocardial perfusion ; perfusion quantification ; spatial resolution ; Fermi method ; Tikhonov regularization |
| Zusammenfassung | Quantification of myocardial perfusion by contrast-enhanced cardiovascular magnetic resonance imaging (CMR) aims for an observer independent and reproducible risk assessment of cardiovascular disease. Currently, the data used for the pixel-wise analysis of cardiac perfusion are either filtered prior to a fitting procedure, which inherently reduces the spatial resolution of data; or all pixels are considered without any regularization or prior filtering, which yields an unstable fit in the presence of low signal-to-noise ratio. Here, we propose a new pixel-wise analysis based on spatial Tikhonov regularization which exploits the spatial smoothness of the data and ensures accurate quantification even for images with low signal-to-noise ratio. The regularization parameter is determined automatically by an L-curve criterion. We study the performance of our method on a numerical phantom and demonstrate that the method reduces significantly the root-mean square error in the perfusion estimate compared to a non-regularized fit. In patient data our method allows us to recover the myocardial perfusion and to distinguish between healthy and ischemic regions. |
| Themenbereich der Metrologie | Mathematik und metrologische Informationstechnik |
| Forschungsprojekt | 15HLT05: PerfusImaging: Metrology for multi-modality imaging of impaired tissue perfusion |
| Förderinformationen (1) |
Förderername: European Commission (EC)
Förderer ID: 0000 0001 2242 8989 Förderer ID Typ: ISNI Förderprogramm: EMPIR 2015 Health Titel der Förderung: 15HLT05: PerfusImaging: Metrology for multi-modality imaging of impaired tissue perfusion Förderungsnummer: 15HLT05 |
Zitierung
Lehnert, J., Wübbeler, G., Kolbitsch, C., Chiribiri, A., Coquelin, L., Ebrard, G., Smith, N., Schäffter, T., & Elster, C. (2018). Pixel-wise quantification of myocardial perfusion using spatial Tikhonov regularization. Physics in Medicine and Biology, 63(21), 1–14. https://doi.org/10.1088/1361-6560/aae758