{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/125739"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/125739","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Rotating magnets as spatial encodings for portable MRI applications","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01","abstract_has_math":false,"creators":["Shi, Yaokun"],"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":["Haran, Kiruba S."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-07-19","date_published":"2024-07-19","updated_at":"2026-07-22T22:25:02Z","subjects":["Low-field Mri"],"languages":["en","eng"],"rights":["Copyright 2024 Yaokun Shi"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/125739","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Haran, Kiruba S."]},{"key":"dc:creator","label":"Author","values":["Shi, Yaokun"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2024-07-19","2024-08"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"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":["Low-field Mri"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2024 Yaokun Shi"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/125739"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01","The student, Yaokun Shi, accepted the attached license on 2024-07-19 at 15:05.","The student, Yaokun Shi, submitted this Thesis for approval on 2024-07-19 at 15:05.","This Thesis was approved for publication on 2024-07-19 at 16:52.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21157 on 2025-02-04 at 21:17:17","Magnetic resonance imaging (MRI) has long been a preferred imaging technique due to its non-invasive nature and its ability to produce high-quality, multi-contrast images. While advancements in the field have typically focused on achieving higher field strengths for better image quality, traditional MRI devices require significant financial investment and high energy consumption for setup, operation, and maintenance. In contrast, low-field MRI devices offer a more cost-effective and energy-efficient alternative, but at the expense of image signal-to-noise ratio (SNR), which is crucial for clinical scans. This trade-off has historically hindered the development of low-field MRI. However, recent advancements in machine learning for image reconstruction and denoising have shown promising results in enhancing low-field MRI images, reigniting interest in this area. This paper discusses the viability of a low-field, open-bore MRI device. To reduce the form factor, we implemented a novel magnetic field design based on permanent magnets and a set of custom radio-frequency coils for low operational frequencies. Furthermore, various accompanying signal acquisition, image reconstruction and image denoising techniques are discussed. We provide theoretical support and simulated results to demonstrate the potential of this design, and a prototype is assembled for preliminary testing. At the prototype's miniature scale, MRI can become a candidate for many urgent-care or on-scene imaging tasks, removing barriers to the technology."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Rotating magnets as spatial encodings for portable MRI applications"]}]}],"canonical_facts":{"dc:contributor":["Haran, Kiruba S."],"dc:creator":["Shi, Yaokun"],"dc:date":["2024-07-19","2024-08"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01","The student, Yaokun Shi, accepted the attached license on 2024-07-19 at 15:05.","The student, Yaokun Shi, submitted this Thesis for approval on 2024-07-19 at 15:05.","This Thesis was approved for publication on 2024-07-19 at 16:52.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21157 on 2025-02-04 at 21:17:17","Magnetic resonance imaging (MRI) has long been a preferred imaging technique due to its non-invasive nature and its ability to produce high-quality, multi-contrast images. While advancements in the field have typically focused on achieving higher field strengths for better image quality, traditional MRI devices require significant financial investment and high energy consumption for setup, operation, and maintenance. In contrast, low-field MRI devices offer a more cost-effective and energy-efficient alternative, but at the expense of image signal-to-noise ratio (SNR), which is crucial for clinical scans. This trade-off has historically hindered the development of low-field MRI. However, recent advancements in machine learning for image reconstruction and denoising have shown promising results in enhancing low-field MRI images, reigniting interest in this area. This paper discusses the viability of a low-field, open-bore MRI device. To reduce the form factor, we implemented a novel magnetic field design based on permanent magnets and a set of custom radio-frequency coils for low operational frequencies. Furthermore, various accompanying signal acquisition, image reconstruction and image denoising techniques are discussed. We provide theoretical support and simulated results to demonstrate the potential of this design, and a prototype is assembled for preliminary testing. At the prototype's miniature scale, MRI can become a candidate for many urgent-care or on-scene imaging tasks, removing barriers to the technology."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/125739"],"dc:language":["en","eng"],"dc:rights":["Copyright 2024 Yaokun Shi"],"dc:subject":["Low-field Mri"],"dc:title":["Rotating magnets as spatial encodings for portable MRI applications"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:02Z"}