Improvement of image reconstruction speed with GPU in cone beam CT breast imaging

dc.contributor.advisorRichards-Kortum, Rebecca Raeen_US
dc.creatorGe, Shuaipingen_US
dc.date.accessioned2011-07-25T02:05:16Zen_US
dc.date.available2011-07-25T02:05:16Zen_US
dc.date.issued2010en_US
dc.description.abstractBreast cancer is the most common and the second lethal cancer among women in the United States. Our group is constructing a dedicated cone beam breast CT (CBCT) system to provide true 3D image to improve the screening and diagnostic of breast cancer. Our result shows that dedicated CBCT out-perform a lot than conventional CT when detecting micro-calcification which is essential to the detection of early stage breast cancer. I also explored the possibility of using the super parallel computing power of GPU with CUDA environment to deal with data-immense and computationally-intensive image reconstruction process of CBCT. My results show that FDK algorithm image reconstruction with GPU is over 10 times faster than that with our PC cluster system. The faster and accurate image reconstruction implies potential new applications in diagnostic and therapy technology.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS BIOENG. 2010 GEen_US
dc.identifier.citationGe, Shuaiping. "Improvement of image reconstruction speed with GPU in cone beam CT breast imaging." (2010) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/62013">https://hdl.handle.net/1911/62013</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/62013en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectHealth sciencesen_US
dc.subjectRadiologyen_US
dc.titleImprovement of image reconstruction speed with GPU in cone beam CT breast imagingen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentBioengineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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