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Wouter J. H. Veldkamp

Researcher at Leiden University

Publications -  69
Citations -  1993

Wouter J. H. Veldkamp is an academic researcher from Leiden University. The author has contributed to research in topics: Imaging phantom & Image quality. The author has an hindex of 23, co-authored 68 publications receiving 1789 citations. Previous affiliations of Wouter J. H. Veldkamp include Leiden University Medical Center & Radboud University Nijmegen.

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Image quality in CT: From physical measurements to model observers.

TL;DR: The spectrum of various methods that have been used to characterise image quality in CT: from objective measurements of physical parameters to clinically task-based approaches (i.e. model observer (MO) approach) including pure human observer approach are presented.
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Automated analysis of neuronal morphology, synapse number and synaptic recruitment

TL;DR: An automated image analysis routine using steerable filters and deconvolutions to automatically analyze dendrite and synapse characteristics in immuno-fluorescence images and is capable of batch analysis of a large number of images enabling high-throughput analysis.
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Development and validation of segmentation and interpolation techniques in sinograms for metal artifact suppression in CT

TL;DR: The new artifact suppression design is efficient, for instance, in terms of preserving spatial resolution, as it is applied directly to original raw data, and successfully reduced artifacts in CT images of five patients and in phantom images.
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Quantitative assessment of selective in-plane shielding of tissues in computed tomography through evaluation of absorbed dose and image quality

TL;DR: The observed reduction of organ dose and total energy imparted could be achieved more efficiently by a reduction of tube current, and the application of in-plane selective shielding is therefore discouraged.
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Automated classification of clustered microcalcifications into malignant and benign types.

TL;DR: A fully automated method for classification of microcalcification clusters into malignant and benign types, and to compare the method's performance with that of radiologists' performance are designed and tested.