This thesis is a discussion of the design and implementation of benchmarking system for microwave imaging systems. The current benchmarking tools for microwave imaging setups are not adaptable. A novel method for of the development of a dielectric phantom using regression analysis is presented. This is followed by a discussion of the design of a novel sensor for the purpose of in vivo dielectric properties measurements. The goal is to provide information for microwave tomography algorithms and phantom development based on in vivo dielectric properties of breast tissues
Through the progress of this research two major novel advances have been made toward producing a better microwave imaging benchmark. First, a technique for systematically developing a breast phantom using regression analysis has been developed. This defines a process for researchers to produce a phantom quickly and easily, avoiding the simple trial and error development techniques of the past. Secondly, a method for measuring dielectric constant of a material through an embedded sensor was developed. Both advances are very important in producing accurate phantoms, providing in vivo tissue properties for tomography algorithms and designing matching materials for microwave imaging.
","abstract_html":"<p>This thesis is a discussion of the design and implementation of benchmarking system for microwave imaging systems. The current benchmarking tools for microwave imaging setups are not adaptable. A novel method for of the development of a dielectric phantom using regression analysis is presented. This is followed by a discussion of the design of a novel sensor for the purpose of in vivo dielectric properties measurements. The goal is to provide information for microwave tomography algorithms and phantom development based on in vivo dielectric properties of breast tissues</p> <p>Through the progress of this research two major novel advances have been made toward producing a better microwave imaging benchmark. First, a technique for systematically developing a breast phantom using regression analysis has been developed. This defines a process for researchers to produce a phantom quickly and easily, avoiding the simple trial and error development techniques of the past. Secondly, a method for measuring dielectric constant of a material through an embedded sensor was developed. Both advances are very important in producing accurate phantoms, providing in vivo tissue properties for tomography algorithms and designing matching materials for microwave imaging.</p>","abstract_has_math":false,"creators":["Hahn, Camerin C."],"institution":null,"degree_name":"Master of Science (MS)","degree_level":"Thesis","degree_discipline":"Electrical Engineering","degree_department":null,"school":null,"contributors":["Sima Noghanian"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-01-01T08:00:00Z","date_published":"2012-01-01T08:00:00Z","updated_at":"2026-07-24T03:26:17Z","subjects":["Bench-Marking, Breast Phantom, Microwave Imaging"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.und.edu/theses/1244","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sima Noghanian"]},{"key":"dc:creator","label":"Author","values":["Hahn, Camerin C."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Bench-Marking, Breast Phantom, Microwave Imaging"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.und.edu/theses/1244"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This thesis is a discussion of the design and implementation of benchmarking system for microwave imaging systems. The current benchmarking tools for microwave imaging setups are not adaptable. A novel method for of the development of a dielectric phantom using regression analysis is presented. This is followed by a discussion of the design of a novel sensor for the purpose of in vivo dielectric properties measurements. The goal is to provide information for microwave tomography algorithms and phantom development based on in vivo dielectric properties of breast tissues
Through the progress of this research two major novel advances have been made toward producing a better microwave imaging benchmark. First, a technique for systematically developing a breast phantom using regression analysis has been developed. This defines a process for researchers to produce a phantom quickly and easily, avoiding the simple trial and error development techniques of the past. Secondly, a method for measuring dielectric constant of a material through an embedded sensor was developed. Both advances are very important in producing accurate phantoms, providing in vivo tissue properties for tomography algorithms and designing matching materials for microwave imaging.
"]},{"key":"dc:title","label":"Title","values":["Development Of An Accurate Benchmarking System For Microwave Breast Imaging"]}]}],"canonical_facts":{"dc:contributor":["Sima Noghanian"],"dc:creator":["Hahn, Camerin C."],"dc:description.abstract":["This thesis is a discussion of the design and implementation of benchmarking system for microwave imaging systems. The current benchmarking tools for microwave imaging setups are not adaptable. A novel method for of the development of a dielectric phantom using regression analysis is presented. This is followed by a discussion of the design of a novel sensor for the purpose of in vivo dielectric properties measurements. The goal is to provide information for microwave tomography algorithms and phantom development based on in vivo dielectric properties of breast tissues
Through the progress of this research two major novel advances have been made toward producing a better microwave imaging benchmark. First, a technique for systematically developing a breast phantom using regression analysis has been developed. This defines a process for researchers to produce a phantom quickly and easily, avoiding the simple trial and error development techniques of the past. Secondly, a method for measuring dielectric constant of a material through an embedded sensor was developed. Both advances are very important in producing accurate phantoms, providing in vivo tissue properties for tomography algorithms and designing matching materials for microwave imaging.
"],"dc:identifier":["https://commons.und.edu/theses/1244"],"dc:subject":["Bench-Marking, Breast Phantom, Microwave Imaging"],"dc:title":["Development Of An Accurate Benchmarking System For Microwave Breast Imaging"],"thesis:degree_discipline":["Electrical Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science (MS)"]},"updated_at":"2026-07-24T03:26:17Z"}