Cramér-Rao bound-informed training of neural networks for quantitative MRI

To improve the performance of neural networks for parameter estimation in quantitative MRI, in particular when the noise propagation varies throughout the space of biophysical parameters.

cs.LG eess.IV physics.med-ph Medicine Engineering Computer Science Physics

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References (58)

01Generalized Bloch model: a theory for pulsed magnetization transferJakob Assländer, Cem Gultekin, Sebastian Flassbeck et al.2021 · Magnetic Resonance in Medicine · 29 citations

02Understanding deep learning (still) requires rethinking generalizationChiyuan Zhang, Samy Bengio, Moritz Hardt et al.2021 · Communications of the ACM · 2.8k citations

03A perspective on MR fingerprintingJakob Assländer2020 · Journal of Magnetic Resonance Imaging · 33 citations

04Rapid three-dimensional multiparametric MRI with quantitative transient-state imagingPedro A. Gómez, Matteo Cencini, Mohammad Golbabaee et al.2020 · Scientific Reports · 65 citations

05Submillimeter MR fingerprinting using deep learning-based tissue quantificationZhenghan Fang, Yong Chen, S. Hung et al.2019 · Magnetic Resonance in Medicine · 38 citations

06Machine Learning for Rapid Magnetic Resonance Fingerprinting Tissue Property QuantificationJesse I. Hamilton, N. Seiberlich2019 · Proceedings of the IEEE · 54 citations

07Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Accelerated Data in Magnetic Resonance FingerprintingZhenghan Fang, Yong Chen, Mingxia Liu et al.2019 · IEEE Transactions on Medical Imaging · 110 citations

08HYDRA: Hybrid Deep Magnetic Resonance FingerprintingP. Song, Yonina C. Eldar, G. Mazor et al.2019 · Medical Physics (Lancaster) · 31 citations In Library

09Magnetic Resonance Fingerprinting Using Recurrent Neural NetworksIlkay Öksüz, G. Cruz, James R. Clough et al.2018 · IEEE International Symposium on Biomedical Imaging · 44 citations In Library

10Geometry of Deep Learning for Magnetic Resonance FingerprintingMohammad Golbabaee, Dongdong Chen, Pedro A. Gómez et al.2018 · IEEE International Conference on Acoustics, Speech, and Signal Processing · 44 citations In Library

11Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural NetworksFabian Balsiger, A. Konar, S. Chikop et al.2018 · MLMIR@MICCAI · 45 citations In Library

12Hybrid-state free precession in nuclear magnetic resonanceJakob Assländer, D. Novikov, R. Lattanzi et al.2018 · Communications Physics · 48 citations

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SYSTEMS AND METHODS FOR PREDICTING ERRORS AND OPTIMIZING PROTOCOLS IN QUANTITATIVE MAGNETIC RESONANCE IMAGINGUS 10,684,340 · SIEMENS MEDICAL SOLUTIONS USA, INC. · 2020 Unsupervised Deep Learning for Multi-Channel MRI Model EstimationUS 10,527,699 · THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY · 2020 SYSTEMS AND METHODS OF CONSTRAINED RECONSTRUCTION OF IMAGES WITH WHITE NOISEUS 11,435,424 · SPINTECH, INC. · 2022 SPARSE MRI DATA COLLECTION AND CLASSIFICATION USING MACHINE LEARNINGUS 11,023,785 · INTERNATIONAL BUSINESS MACHINES CORPORATION · 2021 Method for Estimating Systematic Imperfections in Medical Imaging Systems with Deep LearningUS 11,085,988 · THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY · 2021

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arXiv