TY - CHAP A1 - Chen, Dongdong A1 - Golbabaee, Mohammad A1 - Gómez, Pedro A. A1 - Menzel, Marion Irene A1 - Davies, Mike E. ED - Cardoso, M. Jorge ED - Feragen, Aasa ED - Glocker, Ben ED - Konukoglu, Ender ED - Oguz, Ipek ED - Unal, Gozde ED - Vercauteren, Tom T1 - Deep Fully Convolutional Network for MR Fingerprinting T2 - Medical Imaging with Deep Learning, MIDL 2019: Extended Abstract Track N2 - This work proposes an end-to-end deep fully convolutional neural network for MRF reconstruction (MRF-FCNN), which firstly employs linear dimensionality reduction and then uses a neural network to project the data into the tissue parameters. The MRF dictionary is only used for training the network and not during image reconstruction. We show that MRF-FCNN is capable of achieving accuracy comparable to the ground-truth maps thanks to capturing spatio-temporal data structures without a need for the non-scalable dictionary matching step used in the baseline reconstructions. KW - Magnetic Resonance Fingerprinting KW - Deep Learning Y1 - 2019 UR - https://openreview.net/forum?id=SJxUdvJTtN UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-31163 ER - TY - CHAP A1 - Golbabaee, Mohammad A1 - Chen, Dongdong A1 - Davies, Mike E. A1 - Menzel, Marion Irene A1 - Gómez, Pedro A. ED - Cardoso, M. Jorge ED - Feragen, Aasa ED - Glocker, Ben ED - Konukoglu, Ender ED - Oguz, Ipek ED - Unal, Gozde ED - Vercauteren, Tom T1 - Spatio-temporal regularization for deep MR Fingerprinting T2 - Medical Imaging with Deep Learning, MIDL 2019: Extended Abstract Track N2 - We study a deep learning approach to address the heavy storage and computation re- quirements of the baseline dictionary-matching (DM) for Magnetic Resonance Fingerprint- ing (MRF) reconstruction. The MRF-Net provides a piece-wise affine approximation to the (temporal) Bloch response manifold projection. Fed with non-iterated back-projected images, the network alone is unable to fully resolve spatially-correlated artefacts which ap- pear in highly undersampling regimes. We propose an accelerated iterative reconstruction to minimize these artefacts before feeding into the network. This is done through a convex regularization that jointly promotes spatio-temporal regularities of the MRF time-series. KW - magnetic resonance fingerprinting KW - deep learning KW - regularisation Y1 - 2019 UR - https://openreview.net/forum?id=ryx64UL6YE UR - https://2019.midl.io/program/extended-abstracts.html UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-31174 ER - TY - INPR A1 - Chen, Dongdong A1 - Golbabaee, Mohammad A1 - Gómez, Pedro A. A1 - Menzel, Marion Irene A1 - Davies, Mike E. T1 - A Fully Convolutional Network for MR Fingerprinting UR - https://doi.org/10.48550/arXiv.1911.09846 Y1 - 2019 UR - https://doi.org/10.48550/arXiv.1911.09846 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Benjamin, Arnold Julian Vinoj A1 - Gómez, Pedro A. A1 - Golbabaee, Mohammad A1 - Sprenger, Tim A1 - Menzel, Marion Irene A1 - Davies, Mike E. A1 - Marshall, Ian T1 - Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF UR - https://doi.org/10.48550/arXiv.1809.02506 Y1 - 2018 UR - https://doi.org/10.48550/arXiv.1809.02506 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Benjamin, Arnold Julian Vinoj A1 - Gómez, Pedro A. A1 - Golbabaee, Mohammad A1 - Bin Mahbub, Zaid A1 - Sprenger, Tim A1 - Menzel, Marion Irene A1 - Davies, Mike E. A1 - Marshall, Ian T1 - Multi-shot Echo Planar Imaging for accelerated Cartesian MR Fingerprinting: an alternative to conventional spiral MR Fingerprinting UR - https://doi.org/10.48550/arXiv.1906.08195 Y1 - 2019 UR - https://doi.org/10.48550/arXiv.1906.08195 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Golbabaee, Mohammad A1 - Pirkl, Carolin A1 - Menzel, Marion Irene A1 - Buonincontri, Guido A1 - Gómez, Pedro A. T1 - Deep MR Fingerprinting with total-variation and low-rank subspace priors UR - https://doi.org/10.48550/arXiv.1902.10205 Y1 - 2019 UR - https://doi.org/10.48550/arXiv.1902.10205 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Gómez, Pedro A. A1 - Sperl, Jonathan I. A1 - Sprenger, Tim A1 - Metzler-Baddeley, Claudia A1 - Jones, Derek K. A1 - Saemann, Philipp A1 - Czisch, Michael A1 - Menzel, Marion Irene A1 - Menze, Bjoern H. ED - Handels, Heinz ED - Deserno, Thomas Martin ED - Meinzer, Hans-Peter ED - Tolxdorff, Thomas T1 - Joint Reconstruction of Multi-Contrast MRI for Multiple Sclerosis Lesion Segmentation T2 - Bildverarbeitung für die Medizin 2015, Algorithmen – Systeme – Anwendungen, Proceedings des Workshops vom 15. bis 17. März 2015 in Lübeck UR - https://doi.org/10.1007/978-3-662-46224-9_28 Y1 - 2015 UR - https://doi.org/10.1007/978-3-662-46224-9_28 SN - 978-3-662-46224-9 SN - 978-3-662-46223-2 N1 - Die vollständige Angabe der Autorinnen und Autoren findet sich im PDF. SP - 155 EP - 160 PB - Springer Vieweg CY - Berlin ER - TY - INPR A1 - Golbabaee, Mohammad A1 - Chen, Dongdong A1 - Gómez, Pedro A. A1 - Menzel, Marion Irene A1 - Davies, Mike E. T1 - Geometry of Deep Learning for Magnetic Resonance Fingerprinting UR - https://doi.org/10.48550/arXiv.1809.01749 Y1 - 2018 UR - https://doi.org/10.48550/arXiv.1809.01749 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Gómez, Pedro A. A1 - Molina-Romero, Miguel A1 - Buonincontri, Guido A1 - Menzel, Marion Irene A1 - Menze, Bjoern H. T1 - Designing contrasts for rapid, simultaneous parameter quantification and flow visualization with quantitative transient-state imaging UR - https://doi.org/10.48550/arXiv.1901.07800 Y1 - 2019 UR - https://doi.org/10.48550/arXiv.1901.07800 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Golbabaee, Mohammad A1 - Buonincontri, Guido A1 - Pirkl, Carolin A1 - Menzel, Marion Irene A1 - Menze, Bjoern H. A1 - Davies, Mike E. A1 - Gómez, Pedro A. T1 - Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders UR - https://doi.org/10.48550/arXiv.2001.08746 Y1 - 2020 UR - https://doi.org/10.48550/arXiv.2001.08746 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Ulas, Cagdas A1 - Gómez, Pedro A. A1 - Krahmer, Felix A1 - Sperl, Jonathan I. A1 - Menzel, Marion Irene A1 - Menze, Bjoern H. ED - Zuluaga, Maria A. ED - Bhatia, Kanwal ED - Kainz, Bernhard ED - Moghari, Mehdi H. ED - Pace, Danielle F. T1 - Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints T2 - Reconstruction, Segmentation, and Analysis of Medical Images, First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers UR - https://doi.org/10.1007/978-3-319-52280-7_4 Y1 - 2017 UR - https://doi.org/10.1007/978-3-319-52280-7_4 SN - 978-3-319-52280-7 SN - 978-3-319-52279-1 SP - 37 EP - 47 PB - Springer CY - Cham ER - TY - CHAP A1 - Gómez, Pedro A. A1 - Ulas, Cagdas A1 - Sperl, Jonathan I. A1 - Sprenger, Tim A1 - Molina-Romero, Miguel A1 - Menzel, Marion Irene A1 - Menze, Bjoern H. ED - Wu, Guorong ED - Coupé, Pierrick ED - Zhan, Yiqiang ED - Munsell, Brent ED - Rueckert, Daniel T1 - Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compressed Sensing T2 - Patch-Based Techniques in Medical Imaging, First International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015 Munich, Germany, October 9, 2015 Revised Selected Papers UR - https://doi.org/10.1007/978-3-319-28194-0_14 Y1 - 2016 UR - https://doi.org/10.1007/978-3-319-28194-0_14 SN - 978-3-319-28194-0 SN - 978-3-319-28193-3 SP - 112 EP - 119 PB - Springer CY - Cham ER -