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D. Rodney Hose

Researcher at Norwegian University of Science and Technology

Publications -  6
Citations -  214

D. Rodney Hose is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Breast imaging & Internal medicine. The author has an hindex of 4, co-authored 6 publications receiving 189 citations. Previous affiliations of D. Rodney Hose include Royal Hallamshire Hospital.

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Journal ArticleDOI

Factors influencing the accuracy of biomechanical breast models.

TL;DR: The accuracy with which biomechanical breast models based on finite element methods can predict the displacements of tissue within the breast in the practical clinical situation where the boundaries of the organ might be known reasonably accurately but there is some uncertainty on the mechanical properties of the tissue is evaluated.
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Quantitative evaluation of free-form deformation registration for dynamic contrast-enhanced MR mammography.

TL;DR: An evaluation study of a set of registration strategies for the alignment of sequences of 3D dynamic contrast-enhanced magnetic resonance breast images based on the simulation of physically plausible breast deformations using finite element methods and on contrast- enhancement image pairs without visually detectable motion artifacts.
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Effect of side branch flow upon physiological indices in coronary artery disease.

TL;DR: The results show that the leakage function did not significantly change the vFFR but did significantly impact the estimated volumetric flow rate and predicted coronary flow reserve, and suggest careful consideration of the application of this index for quantitatively assessing flow.
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Concurrent numerical simulation of flow and blood clotting using the lattice Boltzmann technique

TL;DR: A novel approach for a concurrent numerical simulation of the unsteady flow within an idealised stenosed artery and a simplified blood clotting process based on a residence time model is described.
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An inexpensive sensor for measuring surface geometry.

TL;DR: An algorithm is presented to reconstruct the shape of a surface from a series of curvature measurements, and the Abrams Gentile Entertainment patented bend sensor was evaluated as a curvature transducer.