Abstract
The concept of ICTGV provides a
suitable regularisation strategy to stabilize the
reconstruction of images sequences from
incomplete and noisy MR data. It is successfully applied in the context of dynamic MRI applications to enable a further increase of
desired higher spatial and temporal resolution
and spatial coverage for cine cardiac imaging,
DCE-MRI or quantitative MRI. It furthermore
provides a new approach for local
decomposition into components with slower
and faster temporal dynamics.
suitable regularisation strategy to stabilize the
reconstruction of images sequences from
incomplete and noisy MR data. It is successfully applied in the context of dynamic MRI applications to enable a further increase of
desired higher spatial and temporal resolution
and spatial coverage for cine cardiac imaging,
DCE-MRI or quantitative MRI. It furthermore
provides a new approach for local
decomposition into components with slower
and faster temporal dynamics.
| Originalsprache | englisch |
|---|---|
| Publikationsstatus | Veröffentlicht - 7 Sept. 2017 |
| Veranstaltung | 20. Jahrestagung der Deutschen Sektion der ISMRM - Deutsches Primatenzentrum, Göttingen, Deutschland Dauer: 7 Sept. 2017 → 9 Sept. 2017 Konferenznummer: 20 http://www.dpz.eu/de/abteilung/funktionelle-bildgebung/ds-ismrm/20-jahrestagung-der-deutschen-sektion-der-ismrm.html |
Konferenz
| Konferenz | 20. Jahrestagung der Deutschen Sektion der ISMRM |
|---|---|
| Kurztitel | DSISMRM |
| Land/Gebiet | Deutschland |
| Ort | Göttingen |
| Zeitraum | 7/09/17 → 9/09/17 |
| Internetadresse |
Fields of Expertise
- Human- & Biotechnology