{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/104871"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/104871","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Evaluation of null subtraction imaging and interpolation techniques for ultrasound B-mode","abstract":"In biomedical ultrasound imaging, many attempts have been made to improve the lateral resolution through various adaptive and non-adaptive techniques. While each technique has its advantages and disadvantages, there are some challenges common to all methods. In particular, improvements in lateral resolution are often accompanied by a reduction in contrast, and while the -6 dB beamwidth calculated from the point-spread function may be much smaller than that of conventional techniques, these methods often do not perform as well on the Sparrow test for resolution. Another challenge presented by high-resolution techniques is related to the limited lateral sampling of ultrasound data. Conventional techniques for upsampling and interpolating the data have demonstrated limited success. This study focuses on evaluating one particular super-resolution method, null subtraction imaging, under these conditions while also demonstrating methods to overcome the challenges previously encountered with this method.","abstract_html":"In biomedical ultrasound imaging, many attempts have been made to improve the lateral resolution through various adaptive and non-adaptive techniques. While each technique has its advantages and disadvantages, there are some challenges common to all methods. In particular, improvements in lateral resolution are often accompanied by a reduction in contrast, and while the -6 dB beamwidth calculated from the point-spread function may be much smaller than that of conventional techniques, these methods often do not perform as well on the Sparrow test for resolution. Another challenge presented by high-resolution techniques is related to the limited lateral sampling of ultrasound data. Conventional techniques for upsampling and interpolating the data have demonstrated limited success. This study focuses on evaluating one particular super-resolution method, null subtraction imaging, under these conditions while also demonstrating methods to overcome the challenges previously encountered with this method.","abstract_has_math":false,"creators":["Agarwal, Anil"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Oelze, Michael L."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-08-23T19:55:47Z","date_published":"2019-08-23T19:55:47Z","updated_at":"2026-07-22T22:24:42Z","subjects":["ultrasound imaging","beamforming","apodization","null subtraction imaging","interpolation"],"languages":["en"],"rights":["Copyright 2019 Anil Agarwal"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/104871","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Oelze, Michael L."]},{"key":"dc:creator","label":"Author","values":["Agarwal, Anil"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-08-23T19:55:47Z","2019-04-18","2019-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer 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":["ultrasound imaging","beamforming","apodization","null subtraction imaging","interpolation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Anil Agarwal"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/104871"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["In biomedical ultrasound imaging, many attempts have been made to improve the lateral resolution through various adaptive and non-adaptive techniques. While each technique has its advantages and disadvantages, there are some challenges common to all methods. In particular, improvements in lateral resolution are often accompanied by a reduction in contrast, and while the -6 dB beamwidth calculated from the point-spread function may be much smaller than that of conventional techniques, these methods often do not perform as well on the Sparrow test for resolution. Another challenge presented by high-resolution techniques is related to the limited lateral sampling of ultrasound data. Conventional techniques for upsampling and interpolating the data have demonstrated limited success. This study focuses on evaluating one particular super-resolution method, null subtraction imaging, under these conditions while also demonstrating methods to overcome the challenges previously encountered with this method.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-08-22 without embargo terms","The student, Anil Agarwal, accepted the attached license on 2019-04-18 at 14:42.","The student, Anil Agarwal, submitted this Thesis for approval on 2019-04-18 at 14:48.","This Thesis was approved for publication on 2019-04-18 at 17:43.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13752 on 2019-08-22 at 14:44:51","Made available in DSpace on 2019-08-23T19:55:47Z (GMT). No. of bitstreams: 2 AGARWAL-THESIS-2019.pdf: 21215338 bytes, checksum: 094589c28374617274839165b4261446 (MD5) LICENSE.txt: 4209 bytes, checksum: 9c16a4da140bdc572e66f5fe6ccec460 (MD5) Previous issue date: 2019-04-18"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Evaluation of null subtraction imaging and interpolation techniques for ultrasound B-mode"]}]}],"canonical_facts":{"dc:contributor":["Oelze, Michael L."],"dc:creator":["Agarwal, Anil"],"dc:date":["2019-08-23T19:55:47Z","2019-04-18","2019-05"],"dc:description":["In biomedical ultrasound imaging, many attempts have been made to improve the lateral resolution through various adaptive and non-adaptive techniques. While each technique has its advantages and disadvantages, there are some challenges common to all methods. In particular, improvements in lateral resolution are often accompanied by a reduction in contrast, and while the -6 dB beamwidth calculated from the point-spread function may be much smaller than that of conventional techniques, these methods often do not perform as well on the Sparrow test for resolution. Another challenge presented by high-resolution techniques is related to the limited lateral sampling of ultrasound data. Conventional techniques for upsampling and interpolating the data have demonstrated limited success. This study focuses on evaluating one particular super-resolution method, null subtraction imaging, under these conditions while also demonstrating methods to overcome the challenges previously encountered with this method.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-08-22 without embargo terms","The student, Anil Agarwal, accepted the attached license on 2019-04-18 at 14:42.","The student, Anil Agarwal, submitted this Thesis for approval on 2019-04-18 at 14:48.","This Thesis was approved for publication on 2019-04-18 at 17:43.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13752 on 2019-08-22 at 14:44:51","Made available in DSpace on 2019-08-23T19:55:47Z (GMT). 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