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.
Original language | English |
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Publication status | Published - 7 Sept 2017 |
Event | 20. Jahrestagung der Deutschen Sektion der ISMRM - Deutsches Primatenzentrum, Göttingen, Germany Duration: 7 Sept 2017 → 9 Sept 2017 Conference number: 20 http://www.dpz.eu/de/abteilung/funktionelle-bildgebung/ds-ismrm/20-jahrestagung-der-deutschen-sektion-der-ismrm.html |
Conference
Conference | 20. Jahrestagung der Deutschen Sektion der ISMRM |
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Abbreviated title | DSISMRM |
Country/Territory | Germany |
City | Göttingen |
Period | 7/09/17 → 9/09/17 |
Internet address |
Fields of Expertise
- Human- & Biotechnology