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Preliminary Study of an Intra-operative PET Imaging Probe System.

dc.contributor.authorHuh, Sam Seoungen_US
dc.date.accessioned2011-09-15T17:10:43Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2011-09-15T17:10:43Z
dc.date.issued2011en_US
dc.date.submitted2011en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/86331
dc.description.abstractPET imaging has gained widespread acceptance in cancer imaging because Positron Emission Tomography can identify physiological changes due to cancer. Nevertheless conventional PET imaging has difficulty detecting tumors less than 1cm in diameter in clinical use due mainly to background radiation, statistical noise, resolution loss due to lack of depth interaction resolution in detectors, and annihilation photon acolinearity. Conventionally if detected tumors are surgically removable, surgeons locate and remove the tumors during surgery based on the preoperative scans. One of the drawbacks of relying solely on preoperative imaging is that tumor locations could be displaced during surgery due to patient’s movement. In this dissertation, a preliminary study of an intra-operative PET imaging probe system is presented. The proposed probe system consists of a low resolution partial ring detector and a high resolution imaging probe that is equipped with a position tracker. The high resolution probe operates in coincidence with the partial ring detector. The high resolution imaging probe and its proximity to target lesions contribute to the localization of small tumors. In addition, the probe system can be used to detect occult tumors. The ultimate goal is to provide incremental 3-dimensional reconstructed images that are re-projected in real time onto a plane whose orientation is driven by the tracking device. A prototype of the PET imaging probe system was built to test the feasibility of the intra-operative PET imaging probe system. Coincidence detection efficiency of about 0.00012% was observed. A variant of 3-dimensional one-pass list-mode maximum likelihood algorithm (OP-LML) was developed to reconstruct images from the measured data. A row-action maximum likelihood algorithm was integrated with the OP-LML. To speed up image reconstruction by a factor of 30-40, the proposed algorithm was parallelized and was run on a graphics processing unit. Reconstructed images from simulated data with no intrinsic blurring showed resolution of 1.0mm~1.5mm FWHM. However as we expected, reconstructed images from the experimental set-up with limitations failed to separate two Na-22 point sources 1.5mm apart. Experimental resolutions of 4mm FWHM in the longitudinal direction and 2mm FWHM in the transverse direction were obtained for the two point sources.en_US
dc.language.isoen_USen_US
dc.subjectRealtime Intraopeative PET Imagingen_US
dc.subjectOnline Parallel Image Reconstructionen_US
dc.subjectModified One Pass MLEMen_US
dc.subjectSurgical PET Imaging Probe Systemen_US
dc.subjectImage Guided Surgeryen_US
dc.titlePreliminary Study of an Intra-operative PET Imaging Probe System.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineBiomedical Engineeringen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberClinthorne, Neal H.en_US
dc.contributor.committeememberRogers, W. Leslieen_US
dc.contributor.committeememberFessler, Jeffrey A.en_US
dc.contributor.committeememberHe, Zhongen_US
dc.subject.hlbsecondlevelBiomedical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/86331/1/huhss_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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