Publications by authors named "Martin van Gijzen"

Purpose: To describe the construction and testing of a portable point-of-care low-field MRI system on site in Africa.

Methods: All of the components to assemble a 50 mT Halbach magnet-based system, together with the necessary tools, were air-freighted from the Netherlands to Uganda. The construction steps included individual magnet sorting, filling of each ring of the magnet assembly, fine-tuning the inter-ring separations of the 23-ring magnet assembly, gradient coil construction, integration of gradient coils and magnet assembly, construction of the portable aluminum trolley and finally testing of the entire system with an open source MR spectrometer.

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Purpose: To develop a method for MR Fingerprinting (MRF) sequence optimization that takes both the applied undersampling pattern and a realistic reference map into account.

Methods: A predictive model for the undersampling error leveraging on perturbation theory was exploited to optimize the MRF flip angle sequence for improved robustness against undersampling artifacts. In this framework parameter maps from a previously acquired MRF scan were used as reference.

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In this paper we present a magnetic resonance imaging (MRI) technique that is based on multiplicative regularization. Instead of adding a regularizing objective function to a data fidelity term, we multiply by such a regularizing function. By following this approach, no regularization parameter needs to be determined for each new data set that is acquired.

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Article Synopsis
  • MRI is an important medical imaging technology but is costly, limiting its use in developing countries; a collaboration aims to create affordable, portable low-field MRI scanners for diagnosing hydrocephalus in children.
  • The study introduces an algorithm called AS-DLMRI, which optimizes image quality by accelerating scan times and enhancing the Signal-to-Noise Ratio (SNR) using advanced dictionary learning techniques.
  • Performance tests show that AS-DLMRI outperforms existing algorithms in quality metrics and is faster, suggesting that tailored dictionary sizes could improve efficiency and reduce computational demands in MRI imaging.
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