A Sustainable MRI System to Diagnose Hydrocephalus in Developing Countries

1. Image Reconstruction for Low-Field MRI
   M.L. de Leeuw den Bouter;
   PhD thesis, TU Delft, Fac. EEMCS, June 2022. DOI: 10.4233/uuid:f3c4431d-368c-4a17-aacf-2d1283688a1a
   document

2. Gradient Coil Design and Realization for a Halbach-Based MRI System
   Bart de Vos; Patrick Fuchs; Thomas O'Reilly; Andrew Webb; Rob Remis;
   IEEE Transactions on Magnetics,
   Volume 56, pp. 1-8, 2020. DOI: 10.1109/TMAG.2019.2958561
   document

3. Gradient Design for a Low-Field Halbach Array Using the Target Field Method
   Patrick Fuchs; Bart de Vos; Thomas O'Reilly; Andrew Webb; Rob Remis;
   In Book of Abstracts ISMRM-Benelux: The 12th Annual Meeting of the ISMRM Benelux Chapter,
   Arnhem (The Netherlands), ISMRM-Benelux, pp. O60, January 2020.

4. Correcting image distortions caused by gradient nonlinearities in low-field MRI using a neural network
   M. de Leeuw den Bouter; M. van Gijzen; R. Remis;
   In Book of Abstracts ESMRMB~2020: European Society for Magnetic Resonance in Medicine and Biology,
   Barcelona (Spain), ESMRMB, pp. S133-S134, September 2020.

5. A target field approach for designing quadrature RF coils for low field Halbach array MR systems
   B. de Vos; T. O'Reilly; R. Remis; A. Webb;
   In Book of Abstracts ESMRMB~2020: European Society for Magnetic Resonance in Medicine and Biology,
   Barcelona (Spain), online, ESMRMB, pp. S212-S213, September 2020.

6. Description of a low-field MRI scanner based on permanent magnets
   M. de Leeuw den Bouter; D. Gecmen; A. Meijer; D. de Gans; L. Middelplaats; R. Remis; M. van Gijzen;
   In Proceedings of the 10th Colour and Visual Computing Symposium 2020 (CVCS 2020),
   Gjovik, (Norway), CVCS 2020, September 2020.
   document

7. Electromagnetic Fields in MRI
   P. Fuchs;
   PhD thesis, TU Delft, Fac. EEMCS, December 2020. ISBN: 978-94-6416-342-1. DOI: 10.4233/uuid:78d96af2-fb96-4a6e-a51e-ea4236fdf2d7
   document

8. Conjugate Gradient Variants for $\ell_p$-Regularized Image Reconstruction in Low-Field MRI
   Merel de Leeuw den Bouter; Martin van Gijzen; Rob Remis;
   SN Applied Sciences,
   Volume 1, pp. 1736, 2019. DOI: 10.1007/s42452-019-1670-2
   document

9. Joint Iterative Image Reconstruction and Field Map Estimation In Low Field MRI
   K. Koolstra; M. de Leeuw den Bouter; T. O'Reilly; P. Bornert; R. Remis; M. van Gijzen; A. Webb;
   In ISMRM 2019: The 27th Annual Meeting of the ISMRM (book of abstracts),
   Montreal (Canada), pp. 2445, May 2019.
   document

10. Joint Iterative Reconstruction and Field Map Estimation in Low Field MRI
    M.L. de Leeuw den Bouter; K. Koolstra; T.P.A. O'Reilly; P. Bornert; A. Webb; R.F. Remis; M.B. van Gijzen;
    In ISMRM-Benelux 2019: The 21th Annual Meeting of the ISMRM Benelux Chapter (book of abstracts),
    Leiden (The Netherlands), pp. O27, January 2019.
    document

11. CG Methods for General Form Regularization with an Application to Low-Field MRI
    M. de Leeuw den Bouter; M. van Gijzen; R. Remis;
    In SIAM Annual Meeting,
    Portland, OR (USA), pp. 187-188, July 2018.

12. Super Resolution Image Reconstruction for Inexpensive MRI
    M. de Leeuw den Bouter; M. van Gijzen; R. Remis; A. Webb;
    In SIAM Conference on Imaging Science,
    Bologna (Italy), pp. 164, June 2018.

13. Image Reconstruction in Low-Field MRI: A Super Resolution Approach
    M. de Leeuw den Bouter; M. van Gijzen; A. Webb; R. Remis;
    In ISMRM18 – International Society for Magnetic Resonance in Medicine 26th Annual Meeting and Exhibition,
    Paris (France), June 2018.
    document

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