{"id":{"repo_id":"aachen","oai_identifier":"oai:publications.rwth-aachen.de:56628"},"canonical_url":"https://search.dev.ndltd.org/etd/aachen/oai:publications.rwth-aachen.de:56628","repository":{"repo_id":"aachen","name":"RWTH Aachen University","base_url":"https://publications.rwth-aachen.de/oai2d"},"display":{"title":"Energieminimierungsprinzipien zur Rekonstruktion der Endokardbewegung in der tomographischen Echokardiographie","abstract":"Tomographic echocardiography is an imaging technique for acquisition of fourdimensional datasets of the beating heart with high temporal and spatial resolution. The presented thesis shows the development of energy-minimizing principles for reconstruction and tracking of the endocardial border from tomographically acquired echocardiographic datasets. To take into account the motion artifacts, the pseudomechanic model of active contours was extended to the degrees of freedom of the motion parameters of the imaging planes. The surface to be reconstructed and the imaging planes form a pseudomechanic system of objects that are coupled by feature forces. The energy minimum of the system relates to the reconstruction of the endocardial surface and the motion parameters. The concept of temporal smoothness is extended to temporal smoothness of time-dependent surfaces and contours. For the purpose of tracking of the endocardial contour local motion estimations were used. A motion-dependent data energy is formulated taking into account local estimations of motion and respective quality parameters. The minimum of the data energy is insensitive to uncorrelated noise and the decision between oriented and textured regions is smooth. The algorithm takes advantage of the smoothing properties of contour based procedures and on the other hand uses information contained in the local texture.","abstract_html":"Tomographic echocardiography is an imaging technique for acquisition of fourdimensional datasets of the beating heart with high temporal and spatial resolution. The presented thesis shows the development of energy-minimizing principles for reconstruction and tracking of the endocardial border from tomographically acquired echocardiographic datasets. To take into account the motion artifacts, the pseudomechanic model of active contours was extended to the degrees of freedom of the motion parameters of the imaging planes. The surface to be reconstructed and the imaging planes form a pseudomechanic system of objects that are coupled by feature forces. The energy minimum of the system relates to the reconstruction of the endocardial surface and the motion parameters. The concept of temporal smoothness is extended to temporal smoothness of time-dependent surfaces and contours. For the purpose of tracking of the endocardial contour local motion estimations were used. A motion-dependent data energy is formulated taking into account local estimations of motion and respective quality parameters. The minimum of the data energy is insensitive to uncorrelated noise and the decision between oriented and textured regions is smooth. The algorithm takes advantage of the smoothing properties of contour based procedures and on the other hand uses information contained in the local texture.","abstract_has_math":false,"creators":["Ziermann, Oliver"],"institution":"Publikationsserver der RWTH Aachen University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Meyer-Ebrecht, Dietrich"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2001,"date_issued":"2001","date_published":"2001","updated_at":"2026-07-30T19:42:01Z","subjects":["info:eu-repo/classification/ddc/610","Medizin"],"languages":["ger"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-118717%22"],"render_values":[{"text":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-118717%22","href":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-118717%22","code":true}]}]},"links":{"outbound_url":"https://publications.rwth-aachen.de/record/56628","outbound_label":"Repository record","outbound_source":"dc:identifier"},"source_record":{"url":"https://publications.rwth-aachen.de/oai2d?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Apublications.rwth-aachen.de%3A56628","prefix":"oai_dc"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Meyer-Ebrecht, Dietrich"]},{"key":"dc:creator","label":"Author","values":["Ziermann, Oliver"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:coverage","label":"Dc Coverage","values":["DE"]},{"key":"dc:date","label":"Dc Date","values":["2001"]},{"key":"dc:publisher","label":"Institution","values":["Publikationsserver der RWTH Aachen University"]},{"key":"dc:relation","label":"Dc Relation","values":["info:eu-repo/semantics/altIdentifier/urn/urn:nbn:de:hbz:82-opus-2031"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/doctoralThesis","info:eu-repo/semantics/publishedVersion"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["info:eu-repo/classification/ddc/610","Medizin"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["ger"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/record/56628","https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-118717%22"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Tomographic echocardiography is an imaging technique for acquisition of fourdimensional datasets of the beating heart with high temporal and spatial resolution. The presented thesis shows the development of energy-minimizing principles for reconstruction and tracking of the endocardial border from tomographically acquired echocardiographic datasets. To take into account the motion artifacts, the pseudomechanic model of active contours was extended to the degrees of freedom of the motion parameters of the imaging planes. The surface to be reconstructed and the imaging planes form a pseudomechanic system of objects that are coupled by feature forces. The energy minimum of the system relates to the reconstruction of the endocardial surface and the motion parameters. The concept of temporal smoothness is extended to temporal smoothness of time-dependent surfaces and contours. For the purpose of tracking of the endocardial contour local motion estimations were used. A motion-dependent data energy is formulated taking into account local estimations of motion and respective quality parameters. 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