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

Simple item page
dc.contributor.advisorRichards-Kortum, Rebecca Rae
dc.creatorGe, Shuaiping
dc.date.accessioned2011-07-25T02:05:16Z
dc.date.available2011-07-25T02:05:16Z
dc.date.issued2010
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.
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS BIOENG. 2010 GE
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>.
dc.identifier.urihttps://hdl.handle.net/1911/62013
dc.language.isoeng
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.
dc.subjectHealth sciences
dc.subjectRadiology
dc.titleImprovement of image reconstruction speed with GPU in cone beam CT breast imaging
dc.typeThesis
dc.type.materialText
thesis.degree.departmentBioengineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
1486011.PDF
Size:
2.67 MB
Format:
Adobe Portable Document Format
Download
Collections
Rice University Electronic Theses and Dissertations