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Mpj Maarten Kuenen

Researcher at Eindhoven University of Technology

Publications -  41
Citations -  598

Mpj Maarten Kuenen is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Prostate cancer & Cancer. The author has an hindex of 9, co-authored 41 publications receiving 537 citations. Previous affiliations of Mpj Maarten Kuenen include Philips & University of Amsterdam.

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Contrast-Ultrasound Diffusion Imaging for Localization of Prostate Cancer

TL;DR: Diffusion parametric images obtained from five datasets of four patients were compared with histology data and the resulting receiver operating characteristic was superior to that of any perfusion-related parameter proposed in the literature.
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Contrast-ultrasound dispersion imaging for prostate cancer localization by improved spatiotemporal similarity analysis.

TL;DR: In this paper, the authors proposed a spatiotemporal similarity analysis to estimate dispersion of an intravenous ultrasound-contrast-agent bolus injection in prostate cancer patients, which is based on coherence analysis among time-intensity curves measured at neighbor pixels.
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Angiogenesis imaging by spatiotemporal analysis of ultrasound contrast agent dispersion kinetics

TL;DR: A novel dispersion analysis method is proposed for prostate cancer localization and, based on simulations of the convective diffusion equation, the similarity between the concentration evolutions at neighbor pixels is the adopted dispersion measure.
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Correspondence - Spatiotemporal correlation of ultrasound contrast agent dilution curves for angiogenesis localization by dispersion imaging

TL;DR: A new spatiotemporal correlation analysis to perform CUDI is proposed, providing the rationale for indirect estimation of local dispersion by deriving the analytical relation between dispersion and the correlation coefficient among neighboring time-intensity curves obtained at each pixel.
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Multiparametric dynamic contrast-enhanced ultrasound imaging of prostate cancer

TL;DR: The results suggest multiparametric DCE-US analysis might be a useful diagnostic tool for PCa, possibly supporting future targeting of biopsies or therapy and application in other types of cancer can also be foreseen.