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10.3390/photonics2020375 http://scihub22266oqcxt.onion/10.3390/photonics2020375 C4640680!4640680!26566523     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26566523.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Photonics 2015 ; 2 (2): 375-91 Nephropedia Template TP {{tp|p=26566523|t=2015. Mesh Optimization for Monte Carlo-Based Optical Tomography |pdf=|usr=}}{{26566523}} gab.com Text Mesh Optimization for Monte Carlo-Based Optical Tomography JO: Photonics http://www.kidney.de/pget.php?&tw=1&pmid=26566523 #FOAvip Mesh-based Monte Carlo techniques for optical imaging allow for accurate modeling of light propagation in complex biological tissues. Recently, they have been developed within an efficient computational framework to be used as a forward model in optical tomography. However, commonly employed adaptive mesh discretization techniques have not yet been implemented for Monte Carlo based tomography. Herein, we propose a methodology to optimize the mesh discretization and analytically rescale the associated Jacobian based on the characteristics of the forward model. We demonstrate that this method maintains the accuracy of the forward model even in the case of temporal data sets while allowing for significant coarsening or refinement of the mesh. Twit Text FOAVip Mesh Optimization for Monte Carlo-Based Optical Tomography ????Photonics http://www.kidney.de/pget.php?&tw=1&pmid=26566523 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26566523 #FOAvip English Wikipedia <ref>{{Cite pmid|26566523}}</ref> Mesh Optimization for Monte Carlo-Based Optical Tomography #MMPMID26566523 Edmans A; Intes X Photonics 2015[Jun]; 2 (2): 375-91 PMID26566523show ga Mesh-based Monte Carlo techniques for optical imaging allow for accurate modeling of light propagation in complex biological tissues. Recently, they have been developed within an efficient computational framework to be used as a forward model in optical tomography. However, commonly employed adaptive mesh discretization techniques have not yet been implemented for Monte Carlo based tomography. Herein, we propose a methodology to optimize the mesh discretization and analytically rescale the associated Jacobian based on the characteristics of the forward model. We demonstrate that this method maintains the accuracy of the forward model even in the case of temporal data sets while allowing for significant coarsening or refinement of the mesh. äMesh Optimization for Monte Carlo-Based Optical Tomography (epmc).pdf DeepDyve Pubget Overpricing