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http://scihub22266oqcxt.onion/ C4479390!4479390!26171373     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 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Biomed+Phys+Eng 2015 ; 5 (2): 83-8 Nephropedia Template TP {{tp|p=26171373|t=2015. Ultra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU |pdf=|usr=}}{{26171373}} gab.com Text Ultra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU JO: J Biomed Phys Eng http://www.kidney.de/pget.php?&tw=1&pmid=26171373 #FOAvip Digital Breast Tomosynthesis (DBT) is a technology that creates three dimensional (3D) images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems. If image reconstruction time is in the order of seconds, we can use Tomosynthesis systems to perform Tomosynthesis-guided Interventional procedures. This research has been designed to study ultra-fast image reconstruction technique for Tomosynthesis Mammography systems using Graphics Processing Unit (GPU). At first, projections of Tomosynthesis mammography have been simulated. In order to produce Tomosynthesis projections, it has been designed a 3D breast phantom from empirical data. It is based on MRI data in its natural form. Then, projections have been created from 3D breast phantom. The image reconstruction algorithm based on FBP was programmed with C++ language in two methods using central processing unit (CPU) card and the Graphics Processing Unit (GPU). It calculated the time of image reconstruction in two kinds of programming (using CPU and GPU). Twit Text FOAVip Ultra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU ????J Biomed Phys Eng http://www.kidney.de/pget.php?&tw=1&pmid=26171373 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26171373 #FOAvip English Wikipedia <ref>{{Cite pmid|26171373}}</ref> Ultra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU #MMPMID26171373 Arefan D; Talebpour A; Ahmadinejhad N; Kamali Asl A J Biomed Phys Eng 2015[Jun]; 5 (2): 83-8 PMID26171373show ga Digital Breast Tomosynthesis (DBT) is a technology that creates three dimensional (3D) images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems. If image reconstruction time is in the order of seconds, we can use Tomosynthesis systems to perform Tomosynthesis-guided Interventional procedures. This research has been designed to study ultra-fast image reconstruction technique for Tomosynthesis Mammography systems using Graphics Processing Unit (GPU). At first, projections of Tomosynthesis mammography have been simulated. In order to produce Tomosynthesis projections, it has been designed a 3D breast phantom from empirical data. It is based on MRI data in its natural form. Then, projections have been created from 3D breast phantom. The image reconstruction algorithm based on FBP was programmed with C++ language in two methods using central processing unit (CPU) card and the Graphics Processing Unit (GPU). It calculated the time of image reconstruction in two kinds of programming (using CPU and GPU). äUltra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU(epmc).pdf DeepDyve Pubget Overpricing