10/21/2023 0 Comments Benchmark computer grafixHis roundups of new features in Windows 10 updates have been called "the most detailed, useful Windows version previews of anyone on the web" and covered by prominent Windows journalists like Paul Thurrott and Mary Jo Foley on TWiT's Windows Weekly. Instructional tutorials he's written have been linked to by organizations like The New York Times, Wirecutter, Lifehacker, the BBC, CNET, Ars Technica, and John Gruber's Daring Fireball. The news he's broken has been covered by outlets like the BBC, The Verge, Slate, Gizmodo, Engadget, TechCrunch, Digital Trends, ZDNet, The Next Web, and Techmeme. Beyond the column, he wrote about everything from Windows to tech travel tips. He founded PCWorld's "World Beyond Windows" column, which covered the latest developments in open-source operating systems like Linux and Chrome OS. He also wrote the USA's most-saved article of 2021, according to Pocket.Ĭhris was a PCWorld columnist for two years. Beyond the web, his work has appeared in the print edition of The New York Times (September 9, 2019) and in PCWorld's print magazines, specifically in the August 2013 and July 2013 editions, where his story was on the cover. With over a decade of writing experience in the field of technology, Chris has written for a variety of publications including The New York Times, Reader's Digest, IDG's PCWorld, Digital Trends, and MakeUseOf. Chris has personally written over 2,000 articles that have been read more than one billion times-and that's just here at How-To Geek. We conclude that DRR generation on common graphics hardware using the freely available Cg environment is a major step toward 2D/3D registration in clinical routine.Chris Hoffman is the former Editor-in-Chief of How-To Geek. In addition, wobbled splatting using graphics hardware for DRR computation provides higher resolution DRRs with comparable image quality due to special processing characteristics of the GPU. For instance, rendering a volume of 2 x 10(6) voxels is feasible at an update rate of 38 Hz compared to 6 Hz on a common Intel-based PC using the graphics processing unit (GPU) of a conventional graphics adapter. Results show a reduction of rendering time by about 70%-90% depending on the amount of data. The description of an algorithm used for rendering DRRs on the graphics hardware is presented, together with a benchmark comparing this technique to a CPU-based wobbled splatting program. For programming the graphics hardware, NVIDIAs C for Graphics (Cg) is used. DRR computation itself is done by an efficient volume rendering method named wobbled splatting. This paper presents a technique to accelerate DRR creation by using conventional graphics hardware for the rendering process. Digitally rendered radiographs (DRR) are a vital part of various medical image processing applications such as 2D/3D registration for patient pose determination in image-guided radiotherapy procedures.
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