{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/102519"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/102519","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Error estimation in whole bone microstrain measurement when using digital volume correlation","abstract":"Micro-CT scanning of murine femurs before and after uniaxial compression produce 3-dimensional images detailing changes within the bone micro-architecture. Digital volume correlation (DVC) is a mathematical technique used to determine strain within the bone volume, by tracing the dislocation of a pattern between the 3-dimensional images. Uncertainty in the microstrain calculated arises due to limitations in microscopy, the absence of a homogeneously distributed pattern within the bone volume, and inconsistency the methodology used to process the micro-CT scans and microstrain data. The uncertainty in strain was quantified as strain error (SE), measured by analyzing repeated micro-CT scans of an uncompressed bone. The Minimum SE quantified was 180-225 microstrains in accuracy (mean), with a 1100-2100 microstrain precision (standard deviation) in rats; 10-150 microstrains in accuracy, with a 1100-1700microstrain precision in mice. SE displays a regular random distribution throughout the bone volume, centered about 0 and showing strain in both tension and compression. The minimum SE is obtained by optimizing the DVC input parameters using a design of experiments (D0E). A sub-volume size of 43-55 voxels with a 50-75% volume overlap between consecutive steps of the DVC yielded the lowest SE at the highest strain resolution within the bone sub-volume. A strain error resolution (SER) of 2500 microstrains encapsulates over 90% of the SE and is chosen as the minimum strain value that is viable when evaluating microstrain from a compression test of the bone. Any strain within the SER limits are eliminated from a viable set of microstrain value, believed to either be error or minimally contributing to the macroscopic properties of the bone. SER of 2500 microstrain results in a displacement uncertainty of 9-11 um within the bone subvolume. A visual inspection of the repeated scans shows an uncertainty of 2.5 voxels between the 2 images when imaged at a nominal resolution of 4-5 um. The use of monochromatic x-rays (such synchrotron x rays) can increase resolution and reduce the signal-to-noise ratio in the CT scanning process, thus reducing the SE calculated by DVC.","abstract_html":"Micro-CT scanning of murine femurs before and after uniaxial compression produce 3-dimensional images detailing changes within the bone micro-architecture. Digital volume correlation (DVC) is a mathematical technique used to determine strain within the bone volume, by tracing the dislocation of a pattern between the 3-dimensional images. Uncertainty in the microstrain calculated arises due to limitations in microscopy, the absence of a homogeneously distributed pattern within the bone volume, and inconsistency the methodology used to process the micro-CT scans and microstrain data. The uncertainty in strain was quantified as strain error (SE), measured by analyzing repeated micro-CT scans of an uncompressed bone. The Minimum SE quantified was 180-225 microstrains in accuracy (mean), with a 1100-2100 microstrain precision (standard deviation) in rats; 10-150 microstrains in accuracy, with a 1100-1700microstrain precision in mice. SE displays a regular random distribution throughout the bone volume, centered about 0 and showing strain in both tension and compression. The minimum SE is obtained by optimizing the DVC input parameters using a design of experiments (D0E). A sub-volume size of 43-55 voxels with a 50-75% volume overlap between consecutive steps of the DVC yielded the lowest SE at the highest strain resolution within the bone sub-volume. A strain error resolution (SER) of 2500 microstrains encapsulates over 90% of the SE and is chosen as the minimum strain value that is viable when evaluating microstrain from a compression test of the bone. Any strain within the SER limits are eliminated from a viable set of microstrain value, believed to either be error or minimally contributing to the macroscopic properties of the bone. SER of 2500 microstrain results in a displacement uncertainty of 9-11 um within the bone subvolume. A visual inspection of the repeated scans shows an uncertainty of 2.5 voxels between the 2 images when imaged at a nominal resolution of 4-5 um. The use of monochromatic x-rays (such synchrotron x rays) can increase resolution and reduce the signal-to-noise ratio in the CT scanning process, thus reducing the SE calculated by DVC.","abstract_has_math":false,"creators":["Muckatira, Sameer Kariappa"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Kersh, Mariana E."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-02-06T19:36:44Z","date_published":"2019-02-06T19:36:44Z","updated_at":"2026-07-22T22:24:42Z","subjects":["Digital Volume Correlation","Microstrain","Bone","Biomechanics","Volumetric Analysis","CT Scanning"],"languages":["en"],"rights":["Copyright 2018 Sameer Muckatira"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/102519","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kersh, Mariana E."]},{"key":"dc:creator","label":"Author","values":["Muckatira, Sameer Kariappa"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-02-06T19:36:44Z","2018-12-12","2018-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"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":["Digital Volume Correlation","Microstrain","Bone","Biomechanics","Volumetric Analysis","CT Scanning"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2018 Sameer Muckatira"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/102519"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Micro-CT scanning of murine femurs before and after uniaxial compression produce 3-dimensional images detailing changes within the bone micro-architecture. Digital volume correlation (DVC) is a mathematical technique used to determine strain within the bone volume, by tracing the dislocation of a pattern between the 3-dimensional images. Uncertainty in the microstrain calculated arises due to limitations in microscopy, the absence of a homogeneously distributed pattern within the bone volume, and inconsistency the methodology used to process the micro-CT scans and microstrain data. The uncertainty in strain was quantified as strain error (SE), measured by analyzing repeated micro-CT scans of an uncompressed bone. The Minimum SE quantified was 180-225 microstrains in accuracy (mean), with a 1100-2100 microstrain precision (standard deviation) in rats; 10-150 microstrains in accuracy, with a 1100-1700microstrain precision in mice. SE displays a regular random distribution throughout the bone volume, centered about 0 and showing strain in both tension and compression. The minimum SE is obtained by optimizing the DVC input parameters using a design of experiments (D0E). A sub-volume size of 43-55 voxels with a 50-75% volume overlap between consecutive steps of the DVC yielded the lowest SE at the highest strain resolution within the bone sub-volume. A strain error resolution (SER) of 2500 microstrains encapsulates over 90% of the SE and is chosen as the minimum strain value that is viable when evaluating microstrain from a compression test of the bone. Any strain within the SER limits are eliminated from a viable set of microstrain value, believed to either be error or minimally contributing to the macroscopic properties of the bone. SER of 2500 microstrain results in a displacement uncertainty of 9-11 um within the bone subvolume. A visual inspection of the repeated scans shows an uncertainty of 2.5 voxels between the 2 images when imaged at a nominal resolution of 4-5 um. The use of monochromatic x-rays (such synchrotron x rays) can increase resolution and reduce the signal-to-noise ratio in the CT scanning process, thus reducing the SE calculated by DVC.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-02-05 without embargo terms","The student, Sameer Muckatira, accepted the attached license on 2018-12-12 at 10:59.","The student, Sameer Muckatira, submitted this Thesis for approval on 2018-12-12 at 11:10.","This Thesis was approved for publication on 2018-12-12 at 16:23.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13301 on 2019-02-05 at 11:16:09","Made available in DSpace on 2019-02-06T19:36:44Z (GMT). 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Uncertainty in the microstrain calculated arises due to limitations in microscopy, the absence of a homogeneously distributed pattern within the bone volume, and inconsistency the methodology used to process the micro-CT scans and microstrain data. The uncertainty in strain was quantified as strain error (SE), measured by analyzing repeated micro-CT scans of an uncompressed bone. The Minimum SE quantified was 180-225 microstrains in accuracy (mean), with a 1100-2100 microstrain precision (standard deviation) in rats; 10-150 microstrains in accuracy, with a 1100-1700microstrain precision in mice. SE displays a regular random distribution throughout the bone volume, centered about 0 and showing strain in both tension and compression. The minimum SE is obtained by optimizing the DVC input parameters using a design of experiments (D0E). A sub-volume size of 43-55 voxels with a 50-75% volume overlap between consecutive steps of the DVC yielded the lowest SE at the highest strain resolution within the bone sub-volume. A strain error resolution (SER) of 2500 microstrains encapsulates over 90% of the SE and is chosen as the minimum strain value that is viable when evaluating microstrain from a compression test of the bone. Any strain within the SER limits are eliminated from a viable set of microstrain value, believed to either be error or minimally contributing to the macroscopic properties of the bone. SER of 2500 microstrain results in a displacement uncertainty of 9-11 um within the bone subvolume. A visual inspection of the repeated scans shows an uncertainty of 2.5 voxels between the 2 images when imaged at a nominal resolution of 4-5 um. The use of monochromatic x-rays (such synchrotron x rays) can increase resolution and reduce the signal-to-noise ratio in the CT scanning process, thus reducing the SE calculated by DVC.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-02-05 without embargo terms","The student, Sameer Muckatira, accepted the attached license on 2018-12-12 at 10:59.","The student, Sameer Muckatira, submitted this Thesis for approval on 2018-12-12 at 11:10.","This Thesis was approved for publication on 2018-12-12 at 16:23.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13301 on 2019-02-05 at 11:16:09","Made available in DSpace on 2019-02-06T19:36:44Z (GMT). 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