{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/108332"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/108332","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Multi-pixel charge sharing energy reconstruction (MCSER) algorithm with application in small-pixel semiconductor detectors","abstract":"Small-pixel CdTe/CZT semiconductor detectors have shown great potential in medical imaging. However, most of current CZT detectors used in medical imaging applications still suffer serious performance degradation partially due to incomplete charge-collection. In this paper, we discuss a multi-pixel charge sharing energy reconstruction (MCSER) algorithm that could be used to enhance the spectral performance of the small-pixel CdTe/CZT semiconductor detectors. This algorithm, by exploiting the patterns of charge sharing between adjacent pixels, allows for an effective recovery of the signal deficit associated with charge-sharing events. In this study, the improvement in both energy resolution and detector sensitivity are demonstrated experimentally by comparing MCSER algorithm and traditional charge-sharing discrimination (CSD) algorithm and charge sharing addition (CSA) algorithms. The results indicate that MCSER algorithm can provides around twice the detector sensitivity comparing with CSD algorithm and enhance energy resolution by around 10 keV in comparison with CSA algorithm. Finally, single-pin-hole projection experiments is presented as a protocol to further evaluate the ultra-high energy resolution and detection sensitivity enhancement with the MCSER algorithm with medical imaging applications.","abstract_html":"Small-pixel CdTe/CZT semiconductor detectors have shown great potential in medical imaging. However, most of current CZT detectors used in medical imaging applications still suffer serious performance degradation partially due to incomplete charge-collection. In this paper, we discuss a multi-pixel charge sharing energy reconstruction (MCSER) algorithm that could be used to enhance the spectral performance of the small-pixel CdTe/CZT semiconductor detectors. This algorithm, by exploiting the patterns of charge sharing between adjacent pixels, allows for an effective recovery of the signal deficit associated with charge-sharing events. In this study, the improvement in both energy resolution and detector sensitivity are demonstrated experimentally by comparing MCSER algorithm and traditional charge-sharing discrimination (CSD) algorithm and charge sharing addition (CSA) algorithms. The results indicate that MCSER algorithm can provides around twice the detector sensitivity comparing with CSD algorithm and enhance energy resolution by around 10 keV in comparison with CSA algorithm. Finally, single-pin-hole projection experiments is presented as a protocol to further evaluate the ultra-high energy resolution and detection sensitivity enhancement with the MCSER algorithm with medical imaging applications.","abstract_has_math":false,"creators":["Zhang, Jiajin"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Nuclear, Plasma, Radiolgc Engr","degree_department":null,"school":null,"contributors":["Meng, Ling-jian","Di Fulvio, Angela"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-05","date_published":"2020-05","updated_at":"2026-07-22T22:24:48Z","subjects":["small-pixel semiconductor detector, CdTe, CZT, charge sharing, correction"],"languages":["en"],"rights":["Copyright 2020, Jiajin Zhang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/108332","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Meng, Ling-jian","Di Fulvio, Angela"]},{"key":"dc:creator","label":"Author","values":["Zhang, Jiajin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-05","2020-08-27T00:51:29Z","2022-08-27T00:51:40Z","2020-05-11"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Nuclear, Plasma, Radiolgc Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["small-pixel semiconductor detector, CdTe, CZT, charge sharing, correction"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2020, Jiajin Zhang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/108332"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Small-pixel CdTe/CZT semiconductor detectors have shown great potential in medical imaging. However, most of current CZT detectors used in medical imaging applications still suffer serious performance degradation partially due to incomplete charge-collection. In this paper, we discuss a multi-pixel charge sharing energy reconstruction (MCSER) algorithm that could be used to enhance the spectral performance of the small-pixel CdTe/CZT semiconductor detectors. This algorithm, by exploiting the patterns of charge sharing between adjacent pixels, allows for an effective recovery of the signal deficit associated with charge-sharing events. In this study, the improvement in both energy resolution and detector sensitivity are demonstrated experimentally by comparing MCSER algorithm and traditional charge-sharing discrimination (CSD) algorithm and charge sharing addition (CSA) algorithms. The results indicate that MCSER algorithm can provides around twice the detector sensitivity comparing with CSD algorithm and enhance energy resolution by around 10 keV in comparison with CSA algorithm. Finally, single-pin-hole projection experiments is presented as a protocol to further evaluate the ultra-high energy resolution and detection sensitivity enhancement with the MCSER algorithm with medical imaging applications.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-05-01","The student, Jiajin Zhang, accepted the attached license on 2020-05-07 at 09:05.","The student, Jiajin Zhang, submitted this Thesis for approval on 2020-05-07 at 09:14.","This Thesis was approved for publication on 2020-05-11 at 16:21.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15266 on 2020-08-25 at 17:43:49","Made available in DSpace on 2020-08-27T00:51:29Z (GMT). No. of bitstreams: 2 ZHANG-THESIS-2020.pdf: 13370444 bytes, checksum: 61afe248395a9f5180f4e286f71007ca (MD5) LICENSE.txt: 4209 bytes, checksum: 16057e6cdb655ada5e50f6167493d6e5 (MD5) Previous issue date: 2020-05-11","Embargo set by: Seth Robbins for item 115947 Lift date: 2022-08-27T00:51:40Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Author requested closed access (OA after 2yrs) in Vireo ETD system","Limited"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Multi-pixel charge sharing energy reconstruction (MCSER) algorithm with application in small-pixel semiconductor detectors"]}]}],"canonical_facts":{"dc:contributor":["Meng, Ling-jian","Di Fulvio, Angela"],"dc:creator":["Zhang, Jiajin"],"dc:date":["2020-05","2020-08-27T00:51:29Z","2022-08-27T00:51:40Z","2020-05-11"],"dc:description":["Small-pixel CdTe/CZT semiconductor detectors have shown great potential in medical imaging. However, most of current CZT detectors used in medical imaging applications still suffer serious performance degradation partially due to incomplete charge-collection. In this paper, we discuss a multi-pixel charge sharing energy reconstruction (MCSER) algorithm that could be used to enhance the spectral performance of the small-pixel CdTe/CZT semiconductor detectors. This algorithm, by exploiting the patterns of charge sharing between adjacent pixels, allows for an effective recovery of the signal deficit associated with charge-sharing events. In this study, the improvement in both energy resolution and detector sensitivity are demonstrated experimentally by comparing MCSER algorithm and traditional charge-sharing discrimination (CSD) algorithm and charge sharing addition (CSA) algorithms. The results indicate that MCSER algorithm can provides around twice the detector sensitivity comparing with CSD algorithm and enhance energy resolution by around 10 keV in comparison with CSA algorithm. Finally, single-pin-hole projection experiments is presented as a protocol to further evaluate the ultra-high energy resolution and detection sensitivity enhancement with the MCSER algorithm with medical imaging applications.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-05-01","The student, Jiajin Zhang, accepted the attached license on 2020-05-07 at 09:05.","The student, Jiajin Zhang, submitted this Thesis for approval on 2020-05-07 at 09:14.","This Thesis was approved for publication on 2020-05-11 at 16:21.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15266 on 2020-08-25 at 17:43:49","Made available in DSpace on 2020-08-27T00:51:29Z (GMT). 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