Fourier and wavelet analyses of dental radiographs detect trabecular changes in osteoporosis
Objectives: Osteoporosis results in loss of bone mass and microarchitectural deterioration. Dental radiographs potentially offer a means of screening for osteoporosis as they are commonly made on adults. Spatial frequency analyses are well suited to detect subtle changes in image patterns. We hypoth...
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| Veröffentlicht in: | Bone (New York, N.Y.) N.Y.), 2004-08, Vol.35 (2), p.403-411 |
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| creator | Faber, Thomas D. Yoon, Douglas C. Service, Susan K. White, Stuart C. |
| description | Objectives: Osteoporosis results in loss of bone mass and microarchitectural deterioration. Dental radiographs potentially offer a means of screening for osteoporosis as they are commonly made on adults. Spatial frequency analyses are well suited to detect subtle changes in image patterns. We hypothesize that individuals with osteoporosis exhibit an altered radiographic trabecular pattern that can be detected by spatial frequency and strut analysis.
Study design: Maxillary and mandibular periapical radiographs of 26 women with osteoporosis and 23 controls were examined using one-dimensional discrete Fourier and wavelet analyses in both jaws to measure the spatial frequency distributions of trabecular structures. A strut analysis was also performed.
Results: Individuals with osteoporosis revealed an altered trabecular pattern compared to controls. Using Fourier and strut variables allows classification of subjects with 92% sensitivity, 96% specificity, and a 22% cross-validation error rate. Wavelet analysis was also useful but did not perform better than Fourier analysis for subject classification.
Conclusions: Spatial frequency analysis of digitized dental radiographs, especially Fourier analysis, and strut analysis provide value for identifying individuals with osteoporosis. |
| doi_str_mv | 10.1016/j.bone.2004.03.002 |
| format | Article |
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Study design: Maxillary and mandibular periapical radiographs of 26 women with osteoporosis and 23 controls were examined using one-dimensional discrete Fourier and wavelet analyses in both jaws to measure the spatial frequency distributions of trabecular structures. A strut analysis was also performed.
Results: Individuals with osteoporosis revealed an altered trabecular pattern compared to controls. Using Fourier and strut variables allows classification of subjects with 92% sensitivity, 96% specificity, and a 22% cross-validation error rate. Wavelet analysis was also useful but did not perform better than Fourier analysis for subject classification.
Conclusions: Spatial frequency analysis of digitized dental radiographs, especially Fourier analysis, and strut analysis provide value for identifying individuals with osteoporosis.</description><identifier>ISSN: 8756-3282</identifier><identifier>EISSN: 1873-2763</identifier><identifier>DOI: 10.1016/j.bone.2004.03.002</identifier><identifier>PMID: 15268890</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Case-Control Studies ; Classification ; computer-assisted ; dental ; digital ; Female ; Fourier Analysis ; Humans ; Jaw ; Multivariate Analysis ; Osteoporosis ; Osteoporosis - diagnostic imaging ; Radiographic image interpretation ; Radiographic Image Interpretation, Computer-Assisted ; Radiography ; Radiography, Dental ; Sensitivity and Specificity ; Signal processing</subject><ispartof>Bone (New York, N.Y.), 2004-08, Vol.35 (2), p.403-411</ispartof><rights>2004 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c383t-dbcba0ff3e9614364bba29e887a9404e44eac28617b8112f3fd8e8268d78809f3</citedby><cites>FETCH-LOGICAL-c383t-dbcba0ff3e9614364bba29e887a9404e44eac28617b8112f3fd8e8268d78809f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S8756328204001061$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15268890$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Faber, Thomas D.</creatorcontrib><creatorcontrib>Yoon, Douglas C.</creatorcontrib><creatorcontrib>Service, Susan K.</creatorcontrib><creatorcontrib>White, Stuart C.</creatorcontrib><title>Fourier and wavelet analyses of dental radiographs detect trabecular changes in osteoporosis</title><title>Bone (New York, N.Y.)</title><addtitle>Bone</addtitle><description>Objectives: Osteoporosis results in loss of bone mass and microarchitectural deterioration. Dental radiographs potentially offer a means of screening for osteoporosis as they are commonly made on adults. Spatial frequency analyses are well suited to detect subtle changes in image patterns. We hypothesize that individuals with osteoporosis exhibit an altered radiographic trabecular pattern that can be detected by spatial frequency and strut analysis.
Study design: Maxillary and mandibular periapical radiographs of 26 women with osteoporosis and 23 controls were examined using one-dimensional discrete Fourier and wavelet analyses in both jaws to measure the spatial frequency distributions of trabecular structures. A strut analysis was also performed.
Results: Individuals with osteoporosis revealed an altered trabecular pattern compared to controls. Using Fourier and strut variables allows classification of subjects with 92% sensitivity, 96% specificity, and a 22% cross-validation error rate. Wavelet analysis was also useful but did not perform better than Fourier analysis for subject classification.
Conclusions: Spatial frequency analysis of digitized dental radiographs, especially Fourier analysis, and strut analysis provide value for identifying individuals with osteoporosis.</description><subject>Case-Control Studies</subject><subject>Classification</subject><subject>computer-assisted</subject><subject>dental</subject><subject>digital</subject><subject>Female</subject><subject>Fourier Analysis</subject><subject>Humans</subject><subject>Jaw</subject><subject>Multivariate Analysis</subject><subject>Osteoporosis</subject><subject>Osteoporosis - diagnostic imaging</subject><subject>Radiographic image interpretation</subject><subject>Radiographic Image Interpretation, Computer-Assisted</subject><subject>Radiography</subject><subject>Radiography, Dental</subject><subject>Sensitivity and Specificity</subject><subject>Signal processing</subject><issn>8756-3282</issn><issn>1873-2763</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE1LxDAQhoMo7vrxBzxIT95aJ0k3TcGLiKvCghe9CSFNppql26xJu-K_N8sueNPTDMPzvjAPIRcUCgpUXC-LxvdYMICyAF4AsAMypbLiOasEPyRTWc1EzplkE3IS4xIAeF3RYzKhMyakrGFK3uZ-DA5DpnubfekNdjikXXffEWPm28xiP-guC9o6_x70-iOm04BmyIagGzRjp0NmPnT_nnjXZz4O6Nc--OjiGTlqdRfxfD9Pyev8_uXuMV88Pzzd3S5ywyUfctuYRkPbcqwFLbkom0azGqWsdF1CiWWJ2jApaNVISlnLWytRpg9sJSXULT8lV7vedfCfI8ZBrVw02HW6Rz9GJUTFS8bkvyCVwGfJWgLZDjTpkRiwVevgVjp8KwpqK18t1Va-2spXwFWSn0KX-_axWaH9jextJ-BmB2CSsUnWVTQOe4PWhWRUWe_-6v8Bj0eW5g</recordid><startdate>20040801</startdate><enddate>20040801</enddate><creator>Faber, Thomas D.</creator><creator>Yoon, Douglas C.</creator><creator>Service, Susan K.</creator><creator>White, Stuart C.</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7X8</scope></search><sort><creationdate>20040801</creationdate><title>Fourier and wavelet analyses of dental radiographs detect trabecular changes in osteoporosis</title><author>Faber, Thomas D. ; Yoon, Douglas C. ; Service, Susan K. ; White, Stuart C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c383t-dbcba0ff3e9614364bba29e887a9404e44eac28617b8112f3fd8e8268d78809f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Case-Control Studies</topic><topic>Classification</topic><topic>computer-assisted</topic><topic>dental</topic><topic>digital</topic><topic>Female</topic><topic>Fourier Analysis</topic><topic>Humans</topic><topic>Jaw</topic><topic>Multivariate Analysis</topic><topic>Osteoporosis</topic><topic>Osteoporosis - diagnostic imaging</topic><topic>Radiographic image interpretation</topic><topic>Radiographic Image Interpretation, Computer-Assisted</topic><topic>Radiography</topic><topic>Radiography, Dental</topic><topic>Sensitivity and Specificity</topic><topic>Signal processing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Faber, Thomas D.</creatorcontrib><creatorcontrib>Yoon, Douglas C.</creatorcontrib><creatorcontrib>Service, Susan K.</creatorcontrib><creatorcontrib>White, Stuart C.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Bone (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Faber, Thomas D.</au><au>Yoon, Douglas C.</au><au>Service, Susan K.</au><au>White, Stuart C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fourier and wavelet analyses of dental radiographs detect trabecular changes in osteoporosis</atitle><jtitle>Bone (New York, N.Y.)</jtitle><addtitle>Bone</addtitle><date>2004-08-01</date><risdate>2004</risdate><volume>35</volume><issue>2</issue><spage>403</spage><epage>411</epage><pages>403-411</pages><issn>8756-3282</issn><eissn>1873-2763</eissn><abstract>Objectives: Osteoporosis results in loss of bone mass and microarchitectural deterioration. Dental radiographs potentially offer a means of screening for osteoporosis as they are commonly made on adults. Spatial frequency analyses are well suited to detect subtle changes in image patterns. We hypothesize that individuals with osteoporosis exhibit an altered radiographic trabecular pattern that can be detected by spatial frequency and strut analysis.
Study design: Maxillary and mandibular periapical radiographs of 26 women with osteoporosis and 23 controls were examined using one-dimensional discrete Fourier and wavelet analyses in both jaws to measure the spatial frequency distributions of trabecular structures. A strut analysis was also performed.
Results: Individuals with osteoporosis revealed an altered trabecular pattern compared to controls. Using Fourier and strut variables allows classification of subjects with 92% sensitivity, 96% specificity, and a 22% cross-validation error rate. Wavelet analysis was also useful but did not perform better than Fourier analysis for subject classification.
Conclusions: Spatial frequency analysis of digitized dental radiographs, especially Fourier analysis, and strut analysis provide value for identifying individuals with osteoporosis.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>15268890</pmid><doi>10.1016/j.bone.2004.03.002</doi><tpages>9</tpages></addata></record> |
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| subjects | Case-Control Studies Classification computer-assisted dental digital Female Fourier Analysis Humans Jaw Multivariate Analysis Osteoporosis Osteoporosis - diagnostic imaging Radiographic image interpretation Radiographic Image Interpretation, Computer-Assisted Radiography Radiography, Dental Sensitivity and Specificity Signal processing |
| title | Fourier and wavelet analyses of dental radiographs detect trabecular changes in osteoporosis |
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