1,721,032 research outputs found
3D Human-Body Modeling for Medical Simulation: Usability and Robustness of Photogrammetry Techniques
No full textTotal skin electron therapy TSET is mainly used in the treatment of mycosis fungoides, a rare cutaneous T-cell lymphoma affecting the first few millimeters of skin. The Skinscan project aims to optimize irradiation by creating a 3D model of the patient's body surface. This would avoid overdosing or underdosing in different skin areas compared to the prescribed dose and would reduce the inhomogeneity of dose distribution associated with current techniques used during TSET therapy. In SkinScan, we investigate the creation of 3D models of the human body, analyzing the compromise between usability of the software and robustness of the techniques. State-of-the-art techniques for the creation of the 3D models are RGBD and photogrammetry. The first ones require dedicated devices, the other are based on standard photographs. Commercial software to align the different views and to create the models are available, and they can be used by non-experts. The final application would indeed require the creation of ad-hoc models for a personalized medical intervention on the patients. Such models should be created in hospitals, without the intervention of computer scientists. Moreover, accurate 3D modeling often requires specific post-processing to remove noise without adding artifacts on the surfaces. We present the preliminary results to create the 3D models to be used as the input of the SkinScan simulation pipeline. We modeled a flat wall and a box composed of flat surfaces, to evaluate the amount of noise in the 3D reconstruction and the pre-processing of the images to remove it. We then modeled two different body parts, a hand and a shoulder, with the aim of understanding the best compromise between the accuracy of the model and its size, thus the simulation time
Parallel Software for 3D SPECT imaging based on the 2D+1 approximation of collimator blur
No full textCaratterizzazione molecolare per la valorizzazione di vitigni autoctoni nelle regioni delle Alpi Occidentali
No full textSGP-IDL: a Scaled Gradient Projection method for image deconvolution in an Interactive Data Language environment
No full textAn Interactive Data Language (IDL) package for the single and multiple deconvolution of 2D images corrupted by Poisson noise, with the optional inclusion of a boundary effect correction. Following a maximum likelihood approach, SGP-IDL computes a deconvolved image by early stopping of the scaled gradient projection (SGP) algorithm for the solution of the optimization problem coming from the minimization of the generalized Kullback-Leibler divergence between the computed image and the observed image. The algorithms have been implemented also for Graphic Processing Units (GPUs)
Parallel Software for 3D SPECT imaging based on the 2D+1 approximation of collimator blur
No full textRelationships and genetic diversity of grapevine (Vitis vinifera L.) grown in Algeria and in Mediterranean Basin.
No full textEfficient multi-image deconvolution in astronomy
No full textThe deconvolution of astronomical images by the Richardson-Lucy method (RLM) is extended here to the problem of multiple image deconvolution
and the reduction of boundary effects. We show the multiple image RLM in its accelerated gradient-version SGP (Scaled Gradient Projection).
Numerical simulations indicate that the approach can provide excellent results with a considerable reduction of the boundary effects. Also exploiting
GPUlib applied to the IDL code, we obtained a remarkable acceleration of up to two orders of magnitude
Application of the split-gradient method to 3D image deconvolution in fluorescence microscopy.
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