{"@context":"http://iiif.io/api/presentation/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/manifest.json","@type":"sc:Manifest","label":"GPU-Acceleration of X-ray Photon Scattering Simulation","metadata":[{"label":"dc.description.sponsorship","value":"This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree."},{"label":"dc.format","value":"Monograph"},{"label":"dc.format.medium","value":"Electronic Resource"},{"label":"dc.identifier.uri","value":"http://hdl.handle.net/11401/77307"},{"label":"dc.language.iso","value":"en_US"},{"label":"dc.publisher","value":"The Graduate School, Stony Brook University: Stony Brook, NY."},{"label":"dcterms.abstract","value":"Computed Tomography is widely used in numerous fields. To facilitate the development of an algorithm while avoiding additional radiation dose to the patient, the simulation of the CT imaging process is required. The scattering effect of X-ray photons impact on quality of output images. Thus, modeling the scattering is an important task to predict and eliminate the effects on energy. However, the simulation has been challenging task. Two approaches, deterministic and Monte Carlo method has been widely used, but both methods have to undergo trade-off between speed and sampling rate. In this research, the new algorithm which exploits Bi-directional ray tracing technique, is suggested and implemented. The experimental program is focused specifically on parallelism on general-purpose GPUs. With the optimization, the result shows promising mark."},{"label":"dcterms.available","value":"2017-09-20T16:52:28Z"},{"label":"dcterms.contributor","value":"Yoon, Ilchul."},{"label":"dcterms.creator","value":"Pi, Jaewoo"},{"label":"dcterms.dateAccepted","value":"2017-09-20T16:52:28Z"},{"label":"dcterms.dateSubmitted","value":"2017-09-20T16:52:28Z"},{"label":"dcterms.description","value":"Department of Computer Science."},{"label":"dcterms.extent","value":"36 pg."},{"label":"dcterms.format","value":"Monograph"},{"label":"dcterms.identifier","value":"http://hdl.handle.net/11401/77307"},{"label":"dcterms.issued","value":"2014-12-01"},{"label":"dcterms.language","value":"en_US"},{"label":"dcterms.provenance","value":"Made available in DSpace on 2017-09-20T16:52:28Z (GMT). No. of bitstreams: 1\nPi_grad.sunysb_0771M_12201.pdf: 1568285 bytes, checksum: 842bd309499d892ec88d7754cd8b3008 (MD5)\n  Previous issue date:    1"},{"label":"dcterms.publisher","value":"The Graduate School, Stony Brook University: Stony Brook, NY."},{"label":"dcterms.subject","value":"Computer science"},{"label":"dcterms.title","value":"GPU-Acceleration of X-ray Photon Scattering Simulation"},{"label":"dcterms.type","value":"Thesis"},{"label":"dc.type","value":"Thesis"}],"description":"This manifest was generated dynamically","viewingDirection":"left-to-right","sequences":[{"@type":"sc:Sequence","canvases":[{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json","@type":"sc:Canvas","label":"Page 1","height":1650,"width":1275,"images":[{"@type":"oa:Annotation","motivation":"sc:painting","resource":{"@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/13%2F54%2F01%2F135401250129798838148659651699611053135/full/full/0/default.jpg","@type":"dctypes:Image","format":"image/jpeg","height":1650,"width":1275,"service":{"@context":"http://iiif.io/api/image/2/context.json","@id":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/13%2F54%2F01%2F135401250129798838148659651699611053135","profile":"http://iiif.io/api/image/2/level2.json"}},"on":"https://repo.library.stonybrook.edu/cantaloupe/iiif/2/canvas/page-1.json"}]}]}]}