{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/18969"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/18969","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Applications of SLIM (Spectral Localization by Imaging) localization technique","abstract":"Because of the intrinsic inhomogeneity in the composition of living systems, applications of nuclear magnetic resonance spectroscopy (MRS) to the biological system require techniques that can discriminate signals according to their spatial origins and detect signals only from the operator-designated regions. These techniques are called localization techniques. Many techniques have been proposed for the localization of signals and some of them have been widely accepted for clinical applications. The ideal localization technique can be characterized as one which can provide spectrum (or spectra) simultaneously from any arbitrarily-shaped region (or regions) of interest in 2 or 3 spatial dimensions within a reasonable amount of experimental time. All the localization techniques that have been suggested so far are quite limited in their abilities compared to the requirements in the above ideal conditions.","abstract_html":"Because of the intrinsic inhomogeneity in the composition of living systems, applications of nuclear magnetic resonance spectroscopy (MRS) to the biological system require techniques that can discriminate signals according to their spatial origins and detect signals only from the operator-designated regions. These techniques are called localization techniques. Many techniques have been proposed for the localization of signals and some of them have been widely accepted for clinical applications. The ideal localization technique can be characterized as one which can provide spectrum (or spectra) simultaneously from any arbitrarily-shaped region (or regions) of interest in 2 or 3 spatial dimensions within a reasonable amount of experimental time. All the localization techniques that have been suggested so far are quite limited in their abilities compared to the requirements in the above ideal conditions.","abstract_has_math":false,"creators":["Lee, Haak Il"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Chemistry","degree_department":null,"school":null,"contributors":["Lauterbur, Paul C."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-07T11:52:57Z","date_published":"2011-05-07T11:52:57Z","updated_at":"2026-07-22T22:25:12Z","subjects":["Chemistry, Physical"],"languages":["eng"],"rights":["Copyright 1990 Lee, Haak Il"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9114308","(UMI)AAI9114308"],"render_values":[{"text":"AAI9114308","href":null,"code":true},{"text":"(UMI)AAI9114308","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/18969","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Lauterbur, Paul C."]},{"key":"dc:creator","label":"Author","values":["Lee, Haak Il"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-07T11:52:57Z","10000-01-01","1990"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Chemistry"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Chemistry, Physical"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 1990 Lee, Haak Il"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9114308","(UMI)AAI9114308","http://hdl.handle.net/2142/18969"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Because of the intrinsic inhomogeneity in the composition of living systems, applications of nuclear magnetic resonance spectroscopy (MRS) to the biological system require techniques that can discriminate signals according to their spatial origins and detect signals only from the operator-designated regions. These techniques are called localization techniques. Many techniques have been proposed for the localization of signals and some of them have been widely accepted for clinical applications. The ideal localization technique can be characterized as one which can provide spectrum (or spectra) simultaneously from any arbitrarily-shaped region (or regions) of interest in 2 or 3 spatial dimensions within a reasonable amount of experimental time. All the localization techniques that have been suggested so far are quite limited in their abilities compared to the requirements in the above ideal conditions.","The Spectral Localization by IMaging (SLIM) technique that has been recently developed by this research group in collaboration with a group at the Univ. of Chicago has proved to very effective in obtaining localized spectra from regions of interest of any shape within a short time compared with other methods. This SLIM technique was first described for the proton spectroscopy of water and fat in 2D slices. We have made SLIM a more useful localization technique by showing it has many applications including (a) 4D $\\sp{31}$P SLIM with 3D proton images, (b) SLIM with water suppression techniques, (c) SLIM with a surface coil, (d) SLIM with an adiabatic pulse, (e) SLIM with a projection reconstruction technique. Finally, the potential sources of error, which come from deviations from the original assumptions, were analyzed experimentally.","Made available in DSpace on 2011-05-07T11:52:57Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9114308.pdf: 4638418 bytes, checksum: 6b31b8dd6795bd88ce6f0a7aa74569a9 (MD5) Previous issue date: 1990","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:33:46Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:12:36-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"]},{"key":"dc:title","label":"Title","values":["Applications of SLIM (Spectral Localization by Imaging) localization technique"]}]}],"canonical_facts":{"dc:contributor":["Lauterbur, Paul C."],"dc:creator":["Lee, Haak Il"],"dc:date":["2011-05-07T11:52:57Z","10000-01-01","1990"],"dc:description":["Because of the intrinsic inhomogeneity in the composition of living systems, applications of nuclear magnetic resonance spectroscopy (MRS) to the biological system require techniques that can discriminate signals according to their spatial origins and detect signals only from the operator-designated regions. These techniques are called localization techniques. Many techniques have been proposed for the localization of signals and some of them have been widely accepted for clinical applications. The ideal localization technique can be characterized as one which can provide spectrum (or spectra) simultaneously from any arbitrarily-shaped region (or regions) of interest in 2 or 3 spatial dimensions within a reasonable amount of experimental time. All the localization techniques that have been suggested so far are quite limited in their abilities compared to the requirements in the above ideal conditions.","The Spectral Localization by IMaging (SLIM) technique that has been recently developed by this research group in collaboration with a group at the Univ. of Chicago has proved to very effective in obtaining localized spectra from regions of interest of any shape within a short time compared with other methods. This SLIM technique was first described for the proton spectroscopy of water and fat in 2D slices. We have made SLIM a more useful localization technique by showing it has many applications including (a) 4D $\\sp{31}$P SLIM with 3D proton images, (b) SLIM with water suppression techniques, (c) SLIM with a surface coil, (d) SLIM with an adiabatic pulse, (e) SLIM with a projection reconstruction technique. Finally, the potential sources of error, which come from deviations from the original assumptions, were analyzed experimentally.","Made available in DSpace on 2011-05-07T11:52:57Z (GMT). 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