Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1371/journal.pone.0143202 http://scihub22266oqcxt.onion/10.1371/journal.pone.0143202 C4648504!4648504 !26575482     free     free     free       PLoS+One 2015 ; 10 (11 ): e0143202 Nephropedia Template TP {{tp|p=26575482 |t=2015. System Matrix Analysis for Computed Tomography Imaging |pdf=|usr=}}{{26575482 }} gab.com Text System Matrix Analysis for Computed Tomography Imaging JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26575482 #FOAvip In practical applications of computed tomography imaging (CT), it is often the case that the set of projection data is incomplete owing to the physical conditions of the data acquisition process. On the other hand, the high radiation dose imposed on patients is also undesired. These issues demand that high quality CT images can be reconstructed from limited projection data. For this reason, iterative methods of image reconstruction have become a topic of increased research interest. Several algorithms have been proposed for few-view CT. We consider that the accurate solution of the reconstruction problem also depends on the system matrix that simulates the scanning process. In this work, we analyze the application of the Siddon method to generate elements of the matrix and we present results based on real projection data. Twit Text FOAVip System Matrix Analysis for Computed Tomography Imaging ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26575482 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26575482 #FOAvip English Wikipedia <ref>{{Cite pmid|26575482 }}</ref> System Matrix Analysis for Computed Tomography Imaging #MMPMID26575482 Flores L ; Vidal V ; Verdú G PLoS One 2015[]; 10 (11 ): e0143202 PMID26575482 show ga In practical applications of computed tomography imaging (CT), it is often the case that the set of projection data is incomplete owing to the physical conditions of the data acquisition process. On the other hand, the high radiation dose imposed on patients is also undesired. These issues demand that high quality CT images can be reconstructed from limited projection data. For this reason, iterative methods of image reconstruction have become a topic of increased research interest. Several algorithms have been proposed for few-view CT. We consider that the accurate solution of the reconstruction problem also depends on the system matrix that simulates the scanning process. In this work, we analyze the application of the Siddon method to generate elements of the matrix and we present results based on real projection data. |*Image Processing, Computer-Assisted [MESH] |*Tomography, X-Ray Computed [MESH]System Matrix Analysis for Computed Tomography Imaging (epmc).pdf DeepDyve Pubget Overpricing