Towards retrospective motion correction and reconstruction for clinical 3D brain MRI protocols with a reference contrast.

Autor: Rizzuti G; Utrecht University, Heidelberglaan 8, 3584 CS, Utrecht, The Netherlands.; Universitair Medisch Centrum Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands., Schakel T; Universitair Medisch Centrum Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands., Huttinga NRF; Universitair Medisch Centrum Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands., Dankbaar JW; Universitair Medisch Centrum Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands., van Leeuwen T; Utrecht University, Heidelberglaan 8, 3584 CS, Utrecht, The Netherlands.; Centrum Wiskunde & Informatica, Science Park Amsterdam 123, 1098 XG, Amsterdam, The Netherlands., Sbrizzi A; Universitair Medisch Centrum Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands. a.sbrizzi@umcutrecht.nl.

Publikováno v: Magma (New York, N.Y.) [MAGMA] 2024 Oct; Vol. 37 (5), pp. 807-823. Date of Electronic Publication: 2024 May 17.

Real-time myocardial landmark tracking for MRI-guided cardiac radio-ablation using Gaussian Processes.

Autor: Huttinga NRF; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.; Computational Imaging Group for MR therapy & Diagnostics, University Medical Center Utrecht, Utrecht, The Netherlands., Akdag O; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands., Fast MF; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands., Verhoeff JJC; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands., Mohamed Hoesein FAA; Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands., van den Berg CAT; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.; Computational Imaging Group for MR therapy & Diagnostics, University Medical Center Utrecht, Utrecht, The Netherlands., Sbrizzi A; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.; Computational Imaging Group for MR therapy & Diagnostics, University Medical Center Utrecht, Utrecht, The Netherlands., Mandija S; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.; Computational Imaging Group for MR therapy & Diagnostics, University Medical Center Utrecht, Utrecht, The Netherlands.

Publikováno v: Physics in medicine and biology [Phys Med Biol] 2023 Jul 05; Vol. 68 (14). Date of Electronic Publication: 2023 Jul 05.

Nonrigid 3D motion estimation at high temporal resolution from prospectively undersampled k-space data using low-rank MR-MOTUS.

Autor: Huttinga NRF; Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.; Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands., Bruijnen T; Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.; Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands., van den Berg CAT; Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.; Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands., Sbrizzi A; Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.; Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.

Publikováno v: Magnetic resonance in medicine [Magn Reson Med] 2021 Apr; Vol. 85 (4), pp. 2309-2326. Date of Electronic Publication: 2020 Nov 10.

Opening a new window on MR-based Electrical Properties Tomography with deep learning.

Autor: Mandija S; Computational Imaging Group for MR diagnostic & therapy, Center for Image Sciences, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands. S.Mandija@umcutrecht.nl.; Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands. S.Mandija@umcutrecht.nl., Meliadò EF; Computational Imaging Group for MR diagnostic & therapy, Center for Image Sciences, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.; Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands., Huttinga NRF; Computational Imaging Group for MR diagnostic & therapy, Center for Image Sciences, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.; Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands., Luijten PR; Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands., van den Berg CAT; Computational Imaging Group for MR diagnostic & therapy, Center for Image Sciences, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.; Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.

Publikováno v: Scientific reports [Sci Rep] 2019 Jun 20; Vol. 9 (1), pp. 8895. Date of Electronic Publication: 2019 Jun 20.