Low-rank and Sparse Matrix Decomposition for Compressed Sensing reconstruction of Magnetic Resonance 4D Phase Contrast blood flow imaging (LoSDeCoS 4D-PCI)

Conference contribution
(Original article)


Publication Details

Author(s): Hutter JM, Schmitt P, Gunhild A, Greiser A, Forman C, Grimm R, Hornegger J, Maier A
Editor(s): MICCAI
Publisher: Springer
Publishing place: New-York
Publication year: 2013
Conference Proceedings Title: Proceedings of the Medical Image Computing and Computer-Assisted Intervention
Pages range: 000-000


FAU Authors / FAU Editors

Forman, Christoph
Lehrstuhl für Informatik 5 (Mustererkennung)
Grimm, Robert
Lehrstuhl für Informatik 5 (Mustererkennung)
Hornegger, Joachim Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Hutter, Jana Maria
Lehrstuhl für Informatik 5 (Mustererkennung)
Maier, Andreas Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)


How to cite

APA:
Hutter, J.M., Schmitt, P., Gunhild, A., Greiser, A., Forman, C., Grimm, R.,... Maier, A. (2013). Low-rank and Sparse Matrix Decomposition for Compressed Sensing reconstruction of Magnetic Resonance 4D Phase Contrast blood flow imaging (LoSDeCoS 4D-PCI). In MICCAI (Eds.), Proceedings of the Medical Image Computing and Computer-Assisted Intervention (pp. 000-000). Nagoya, Japan, JP: New-York: Springer.

MLA:
Hutter, Jana Maria, et al. "Low-rank and Sparse Matrix Decomposition for Compressed Sensing reconstruction of Magnetic Resonance 4D Phase Contrast blood flow imaging (LoSDeCoS 4D-PCI)." Proceedings of the 16th International Conference (MICCAI 2013),, Nagoya, Japan Ed. MICCAI, New-York: Springer, 2013. 000-000.

BibTeX: 

Last updated on 2018-19-04 at 02:31