W
W.M.M.J. Bovée
Researcher at Delft University of Technology
Publications - 33
Citations - 1736
W.M.M.J. Bovée is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Pulse sequence & Glutamine. The author has an hindex of 20, co-authored 33 publications receiving 1707 citations.
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Journal ArticleDOI
Retrieval of frequencies, amplitudes, damping factors, and phases from time-domain signals using a linear least-squares procedure
TL;DR: A new method for quantitative analysis of time-domain signals that is insensitive to truncation at the beginning and/or the end of the signal, and is capable to accurately reconstruct the missing part, and achieves higher resolution than fast Fourier transformation.
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In vitro evaluation of a novel bioreactor based on an integral oxygenator and a spirally wound nonwoven polyester matrix for hepatocyte culture as small aggregates
Leonard M. Flendrig,John W. la Soe,G. G. A. Jörning,Arie Steenbeek,Ole T. Karlsen,W.M.M.J. Bovée,N. C. J. J. Ladiges,Anje A. te Velde,Robert A. F. M. Chamuleau +8 more
TL;DR: A novel bioreactor is devised which allows individual perfusion of high density cultured hepatocytes with low diffusional gradients, thereby more closely resembling the conditions in the intact liver lobuli, and showed encouraging efficiency.
Journal ArticleDOI
Improved quantification of in vivo 1H NMR spectra by optimization of signal acquisition and processing and by incorporation of prior knowledge into the spectral fitting.
A. A. De Graaf,W.M.M.J. Bovée +1 more
TL;DR: This approach resulted in greatly improved accuracy, precision, and reliability of the quantitation of the in vivo spectra of rat brain, and enabled us to estimate absolute metabolite concentrations.
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Changes in brain metabolism during hyperammonemia and acute liver failure: Results of a comparative 1H‐NMR spectroscopy and biochemical investigation
D. K. Bosman,Nicolaas E. P. Deutz,Albert A. de Graaf,Rene W. N. Vd Hulst,Hans M.H. van Eijk,W.M.M.J. Bovée,M. Maas,G. G. A. Jörning,Robert A. F. M. Chamuleau +8 more
TL;DR: To quantify the development of encephalopathy, clinical grading and electroencephalographic spectral analysis were used as indicators to measure the effects of hyperammonemia on brain function.
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Parameter estimation from Rician-distributed data sets using a maximum likelihood estimator: application to T1 and perfusion measurements.
TL;DR: The ML estimator for the combined data set results in the most precise, unbiased estimations of the perfusion rate, even when low signal‐to‐noise ratios (<6), which is required for precise estimation of perfusion rates from FAIR experiments.