@Article{Riedel2021,
  author  = {Malte Riedel and Kawin Setsompop and Alfred Mertins and Peter Börnert},
  journal = {Magnetic Resonance in Medicine},
  title   = {Segmented simultaneous multi‐slice diffusion‐weighted imaging with navigated {3D} rigid motion correction},
  year    = {2021},
  number  = {3},
  pages   = {1701--1717},
  volume  = {86},
}

@inproceedings{steinhoff_magnitude-regularized_2020,
	title = {Magnitude-regularized Phase Estimation (MAPE) with U-Net Support for Self-navigated Multi-shot Echo-planar DWI in the Brain; program no. 4367},
	booktitle = {Proceedings of the 2020 ISMRM & SMRT Virtual Conference & Exhibition},
	author = {Steinhoff, Malte and Mertins, Alfred and Börnert, Peter},
	year = {2020}
}

@inproceedings{steinhoff_magnitude-regularized_2020,
	title = {Magnitude-regularized Phase Estimation (MAPE) with U-Net Support for Self-navigated Multi-shot Echo-planar DWI in the Brain; program no. 4367},
	booktitle = {Proceedings of the 2020 ISMRM & SMRT Virtual Conference & Exhibition},
	author = {Steinhoff, Malte and Mertins, Alfred and Börnert, Peter},
	year = {2020}
}

@inproceedings{dong_regularized_2020,
	title = {Regularized joint water/fat separation and B0 map estimation for Echo-Planar Imaging},
	booktitle = {ESMRMB 2020 Online, 37th Annual Scientific Meeting},
	author = {Dong, Yiming and Koolstra, Kirsten and Steinhoff, Malte and van Osch, Matthias J. P. and Börnert, Peter},
	month = oct,
	year = {2020},
	pages = {Presentation no. S02.03, Abstract ID A--1047}
}

@inproceedings{steinhoff_segmented_2020,
	address = {Sedona, AZ, USA},
	title = {Segmented Diffusion Imaging with Iterative Motion Corrected Reconstruction (SEDIMENT) for Self-navigated Brain Echo-planar Imaging at 7T},
	booktitle = {ISMRM Workshop on Data Sampling & Image Reconstruction},
	author = {Steinhoff, Malte and Ronen, Itamar and Webb, Andrew and Mertins, Alfred and Börnert, Peter},
	month = jan,
	year = {2020},
	pages = {Poster no. 31}
}

@inproceedings{steinhoff_segmented_2020,
	address = {Sedona, AZ, USA},
	title = {Segmented Diffusion Imaging with Iterative Motion Corrected Reconstruction (SEDIMENT) for Self-navigated Brain Echo-planar Imaging at 7T},
	booktitle = {ISMRM Workshop on Data Sampling & Image Reconstruction},
	author = {Steinhoff, Malte and Ronen, Itamar and Webb, Andrew and Mertins, Alfred and Börnert, Peter},
	month = jan,
	year = {2020},
	pages = {Poster no. 31}
}

@inproceedings{steinhoff_sense-based_2020,
	title = {SENSE-based Multi-shot DWI Reconstruction with Extra-navigated Rigid Motion and Contrast Correction for Brain EPI; program no. 4339},
	booktitle = {Proceedings of the 2020 ISMRM & SMRT Virtual Conference & Exhibition},
	author = {Steinhoff, Malte and Mertins, Alfred and Börnert, Peter},
	year = {2020}
}

@inproceedings{steinhoff_accelerating_2019,
	address = {Montréal, QC, Canada},
	title = {Accelerating {Iterative} {SENSE}-based {Algorithms} for {Cartesian} {Trajectories} using the {Point} {Spread} {Function} and {Coil} {Compression}},
	url = {https://index.mirasmart.com/ISMRM2019/PDFfiles/3347.html},
	abstract = {For multi-shot diffusion-weighted imaging, iterative SENSE-based algorithms like POCSMUSE are boosting SNR allowing for higher image resolution. These advantages are achieved at the cost of higher computational load, thereby narrowing the clinical use case. The Cartesian implementation of such SENSE algorithms iteratively involves time-consuming 1D-Fast Fourier Transforms. In this abstract, the well-known point spread function for regular Cartesian undersampling is exploited to accelerate gradient- and projection-based SENSE updates. Accelerations of approximately 45\% were achieved. Furthermore, coil compression is evaluated for these algorithms.},
	booktitle = {Proceedings of the 27th Joint Annual Meeting of ISMRM},
	author = {Steinhoff, Malte and Nehrke, Kay and Mertins, Alfred and Börnert, Peter},
	year = {2019}
}

@inproceedings{steinhoff_multi-shot_2019,
	address = {Montréal, QC, Canada},
	title = {Multi-shot {Diffusion} {EPI} {Reconstruction} with {Iterative} {Rigid} {Motion}-correction and {Motion}-induced {Phase}-correction for {Brain} {Imaging}},
	url = {https://index.mirasmart.com/ISMRM2019/PDFfiles/3346.html},
	abstract = {Multi-shot diffusion-weighted imaging offers increased SNR and higher resolution, but makes the acquisition vulnerable to shot-specific phase variations and macroscopic inter-shot motion. A wide range of iterative phase-corrected reconstruction schemes have been proposed to overcome the inter-shot phase inconsistencies, but robust motion estimation is still challenging due to the inherently low SNR of DWI. This work moves forward from initial one-time rigid motion estimation to an alternating optimization balancing the joint image, phase and motion estimation. A novel multi-shot echo-planar diffusion algorithm with iterative motion and phase correction is presented in simulations and in-vivo.},
	booktitle = {Proceedings of the 27th Joint Annual Meeting of ISMRM},
	author = {Steinhoff, Malte and Nehrke, Kay and Mertins, Alfred and Börnert, Peter},
	year = {2019}
}

@article{steinhoff_segmented_2019,

title = {Segmented diffusion imaging with iterative motion‐corrected reconstruction ({SEDIMENT}) for brain echo‐planar imaging},

issn = {0952-3480, 1099-1492},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/nbm.4185},

doi = {10.1002/nbm.4185},

abstract = {Multi-shot techniques offer improved resolution and signal-to-noise ratio for diffusion- weighted imaging, but make the acquisition vulnerable to shot-specific phase variations and inter-shot macroscopic motion. Several model-based reconstruction approaches with iterative phase correction have been proposed, but robust macroscopic motion estimation is still challenging. Segmented diffusion imaging with iterative motion-corrected reconstruction (SEDIMENT) uses iteratively refined data-driven shot navigators based on sensitivity encoding to cure phase and rigid in-plane motion artifacts. The iterative scheme is compared in simulations and in vivo with a non-iterative reference algorithm for echo-planar imaging with up to sixfold segmentation. The SEDIMENT framework supports partial Fourier acquisitions and furthermore includes options for data rejection and learning-based modules to improve robustness and convergence.},

language = {en},

urldate = {2019-12-11},

journal = {NMR in Biomedicine},

author = {Steinhoff, Malte and Nehrke, Kay and Mertins, Alfred and Börnert, Peter},
month= { Dec},

year = {2019}

}

@inproceedings{steinhoff_self-navigated_2019,
	address = {Montréal, QC, Canada},
	title = {Self-navigated {Half}-{Fourier} {Multi}-shot {Echo}-planar {DWI} {Reconstructions} for {Brain} {Imaging}},
	url = {https://index.mirasmart.com/ISMRM2019/PDFfiles/3345.html},
	abstract = {EPI trajectories using Half-Fourier achieve shorter echo times and therefore higher SNR, which is especially desirable in low-SNR applications like diffusion-weighted MRI. For the same reason, methods enabling phase-corrected image recovery for multi-shot diffusion acquisitions have been intensively studied for both spiral and EPI trajectories. In this work, two algorithms are presented comprising both half-Fourier and the multi-shot same-magnitude constraints to exploit the advantages of both techniques. The algorithms are shown to robustly recover interleaved half-Fourier datasets from in-vivo brain acquisitions.},
	booktitle = {Proceedings of the 27th Joint Annual Meeting of ISMRM},
	author = {Steinhoff, Malte and Nehrke, Kay and Mertins, Alfred and Börnert, Peter},
	year = {2019}
}

@inproceedings{steinhoff_comparison_2018,

address = {Paris, France},

title = {Comparison of {Navigator}-free {Multi}-shot {Diffusion}-{Weighted} {Imaging} {Reconstruction} {Algorithms} for {EPI}},

url = {https://index.mirasmart.com/ISMRM2018/PDFfiles/5341.html},

abstract = {Multi-shot diffusion-weighted MRI allows for higher spatial resolution than single-shot approaches, but suffers from image artifacts due to motion-induced shot-specific phase variations. Advanced parallel imaging reconstructions can mitigate these effects, but a comparison of these approaches is still missing, especially for the widespread EPI. Following the concept of reproducible research, a number of algorithms were implemented, adapted and refined for EPI, and compared in simulations and in-vivo. Results show different performance and applicability. The iterative feedback and the sharing of joint global information in the reconstruction and appropriate constraints were found to be crucial for high-quality high-resolution DWI.},

booktitle = {Proceedings of the 26th Joint Annual Meeting of ISMRM},

author = {Steinhoff, Malte and Nehrke, Kay and Börnert, Peter},

year = {2018}
}