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This paper describes a novel scalable architecture model for the design of harvesting-aware applications on FPGAs. The objective of the proposed approach is to reduce the additional design complexity inherent to this type of design. The adopted strategy was to adapt the energy consumption of the system by controlling the toggle rate of its signals according to the energy prediction and the performance...
Monte Carlo treatment planning techniques provide a very accurate dose calculation compared to ‘conventional’ deterministic treatment planning systems. In the present work, the irradiation of the RANDO phantom with an Elekta Precise MultiLeaf Collimated rhombus-shaped photon beam is validated throughout the comparison of dose maps calculated with PLanUNC (PLUNC), a set of software tools for radiotherapy...
This work presents the application of an updated version of an existing Monte Carlo (MC) code for photon and electron transport to intraoperative radiotherapy (IORT) dose planning. The code has been optimized to provide an estimation of the dose delivered by the linear accelerator (LINAC) in very short time and has been incorporated as a submodule of an advanced IORT planning system under development,...
Monte Carlo methods provide a flexible and rigorous solution to the problem of light transport in turbid media, which enable approaching complex geometries for a closed analytical solution is not feasible. The simulator implements local rules of propagation in the form of probability density functions that depend on the local optical properties of the tissue. This work presents a flexible simulator...
The objective of this work is to evaluate the feasibility of using non-rigid registration techniques to estimates myocardial motion from CINE-MR images without user interaction. Myocardial displacement field was obtained using a pair-wise non rigid registration technique that computes incremental motion for every consecutive pair of images in the sequence. We use a semi-local parametric deformation...
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