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10.1098/rsta.2014.0399 http://scihub22266oqcxt.onion/10.1098/rsta.2014.0399 C4424490!4424490!25939624     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Philos+Trans+A+Math+Phys+Eng+Sci 2015 ; 373 (2043): ä Nephropedia Template TP {{tp|p=25939624|t=2015. Introduction: a brief overview of iterative algorithms in X-ray computed tomography |pdf=|usr=}}{{25939624}} gab.com Text Introduction: a brief overview of iterative algorithms in X-ray computed tomography JO: Philos Trans A Math Phys Eng Sci http://www.kidney.de/pget.php?&tw=1&pmid=25939624 #FOAvip This paper presents a brief overview of some basic iterative algorithms, and more sophisticated methods are presented in the research papers in this issue. A range of algebraic iterative algorithms are covered here including ART, SART and OS-SART. A major limitation of the traditional iterative methods is their computational time. The Krylov subspace based methods such as the conjugate gradients (CG) algorithm and its variants can be used to solve linear systems of equations arising from large-scale CT with possible implementation using modern high-performance computing tools. The overall aim of this theme issue is to stimulate international efforts to develop the next generation of X-ray computed tomography (CT) image reconstruction software. Twit Text FOAVip Introduction: a brief overview of iterative algorithms in X-ray computed tomography ????Philos Trans A Math Phys Eng Sci http://www.kidney.de/pget.php?&tw=1&pmid=25939624 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25939624 #FOAvip English Wikipedia <ref>{{Cite pmid|25939624}}</ref> Introduction: a brief overview of iterative algorithms in X-ray computed tomography #MMPMID25939624 Soleimani M; Pengpen T Philos Trans A Math Phys Eng Sci 2015[Jun]; 373 (2043): ä PMID25939624show ga This paper presents a brief overview of some basic iterative algorithms, and more sophisticated methods are presented in the research papers in this issue. A range of algebraic iterative algorithms are covered here including ART, SART and OS-SART. A major limitation of the traditional iterative methods is their computational time. The Krylov subspace based methods such as the conjugate gradients (CG) algorithm and its variants can be used to solve linear systems of equations arising from large-scale CT with possible implementation using modern high-performance computing tools. The overall aim of this theme issue is to stimulate international efforts to develop the next generation of X-ray computed tomography (CT) image reconstruction software. äIntroduction: a brief overview of iterative algorithms in X-ray comput(epmc).pdf DeepDyve Pubget Overpricing