Model-based estimation of quantitative ultrasound variables at the proximal femur
To improve the prediction of the osteoporotic fracture risk at the proximal femur we are developing a scanner for quantitative ultrasound (QUS) measurements at this site. Due to multipath transmission in this complex shaped bone, conventional signal processing techniques developed for QUS measuremen...
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| Veröffentlicht in: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control ferroelectrics, and frequency control, 2008-06, Vol.55 (6), p.1304-1315 |
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| container_title | IEEE transactions on ultrasonics, ferroelectrics, and frequency control |
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| creator | Dencks, S. Barkmann, R. Padilla, F. Laugier, P. Schmitz, G. Gluer, C.-C. |
| description | To improve the prediction of the osteoporotic fracture risk at the proximal femur we are developing a scanner for quantitative ultrasound (QUS) measurements at this site. Due to multipath transmission in this complex shaped bone, conventional signal processing techniques developed for QUS measurements at peripheral sites frequently fail. Therefore, we propose a model-based estimation of the QUS variables and analyze the performance of the new algorithm. Applying the proposed method to QUS scans of excised proximal femurs increased the fraction of evaluable signals from approx. 60% (using conventional algorithms) to 97%. The correlation of the standard QUS variables broadband ultrasound attenuation (BUA) and speed of sound (SOS) with the established variable bone mineral density (BMD) reported in previous studies is maintained (BUA/BMD: r 2 = 0.69; SOS/BMD: r 2= 0.71; SOS+BUA/BMD: r 2 = 0.88). Additionally, different wave types could be clearly detected and characterized in the trochanteric region. The ability to separate superimposed signals with this approach opens up further diagnostic potential for evaluating waves of different sound paths and wave types through bone tissue. |
| doi_str_mv | 10.1109/TUFFC.2008.793 |
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Due to multipath transmission in this complex shaped bone, conventional signal processing techniques developed for QUS measurements at peripheral sites frequently fail. Therefore, we propose a model-based estimation of the QUS variables and analyze the performance of the new algorithm. Applying the proposed method to QUS scans of excised proximal femurs increased the fraction of evaluable signals from approx. 60% (using conventional algorithms) to 97%. The correlation of the standard QUS variables broadband ultrasound attenuation (BUA) and speed of sound (SOS) with the established variable bone mineral density (BMD) reported in previous studies is maintained (BUA/BMD: r 2 = 0.69; SOS/BMD: r 2= 0.71; SOS+BUA/BMD: r 2 = 0.88). Additionally, different wave types could be clearly detected and characterized in the trochanteric region. The ability to separate superimposed signals with this approach opens up further diagnostic potential for evaluating waves of different sound paths and wave types through bone tissue.</description><identifier>ISSN: 0885-3010</identifier><identifier>EISSN: 1525-8955</identifier><identifier>DOI: 10.1109/TUFFC.2008.793</identifier><identifier>PMID: 18599418</identifier><identifier>CODEN: ITUCER</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Algorithm design and analysis ; Algorithms ; Attenuation ; Bone and Bones - diagnostic imaging ; Bone and Bones - physiology ; Bone density ; Bones ; Broadband ; Computer Simulation ; Densitometry - methods ; Density ; Femur ; Femur - diagnostic imaging ; Femur - physiology ; Hip ; Hip joint ; Humans ; Image Interpretation, Computer-Assisted - methods ; Mathematical models ; Minerals ; Models, Biological ; Performance analysis ; Reproducibility of Results ; Scattering, Radiation ; Sensitivity and Specificity ; Shape measurement ; Signal processing ; Signal processing algorithms ; Sound ; Ultrasonic imaging ; Ultrasonic variables measurement ; Ultrasonography - methods ; Ultrasound ; Variables</subject><ispartof>IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2008-06, Vol.55 (6), p.1304-1315</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c435t-411893406faa501f8327549e6e71fbe6d6cc7c4f97043ee78288af08232b56f83</citedby><cites>FETCH-LOGICAL-c435t-411893406faa501f8327549e6e71fbe6d6cc7c4f97043ee78288af08232b56f83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4536925$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4536925$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18599418$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dencks, S.</creatorcontrib><creatorcontrib>Barkmann, R.</creatorcontrib><creatorcontrib>Padilla, F.</creatorcontrib><creatorcontrib>Laugier, P.</creatorcontrib><creatorcontrib>Schmitz, G.</creatorcontrib><creatorcontrib>Gluer, C.-C.</creatorcontrib><title>Model-based estimation of quantitative ultrasound variables at the proximal femur</title><title>IEEE transactions on ultrasonics, ferroelectrics, and frequency control</title><addtitle>T-UFFC</addtitle><addtitle>IEEE Trans Ultrason Ferroelectr Freq Control</addtitle><description>To improve the prediction of the osteoporotic fracture risk at the proximal femur we are developing a scanner for quantitative ultrasound (QUS) measurements at this site. Due to multipath transmission in this complex shaped bone, conventional signal processing techniques developed for QUS measurements at peripheral sites frequently fail. Therefore, we propose a model-based estimation of the QUS variables and analyze the performance of the new algorithm. Applying the proposed method to QUS scans of excised proximal femurs increased the fraction of evaluable signals from approx. 60% (using conventional algorithms) to 97%. The correlation of the standard QUS variables broadband ultrasound attenuation (BUA) and speed of sound (SOS) with the established variable bone mineral density (BMD) reported in previous studies is maintained (BUA/BMD: r 2 = 0.69; SOS/BMD: r 2= 0.71; SOS+BUA/BMD: r 2 = 0.88). Additionally, different wave types could be clearly detected and characterized in the trochanteric region. The ability to separate superimposed signals with this approach opens up further diagnostic potential for evaluating waves of different sound paths and wave types through bone tissue.</description><subject>Algorithm design and analysis</subject><subject>Algorithms</subject><subject>Attenuation</subject><subject>Bone and Bones - diagnostic imaging</subject><subject>Bone and Bones - physiology</subject><subject>Bone density</subject><subject>Bones</subject><subject>Broadband</subject><subject>Computer Simulation</subject><subject>Densitometry - methods</subject><subject>Density</subject><subject>Femur</subject><subject>Femur - diagnostic imaging</subject><subject>Femur - physiology</subject><subject>Hip</subject><subject>Hip joint</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Mathematical models</subject><subject>Minerals</subject><subject>Models, Biological</subject><subject>Performance analysis</subject><subject>Reproducibility of Results</subject><subject>Scattering, Radiation</subject><subject>Sensitivity and Specificity</subject><subject>Shape measurement</subject><subject>Signal processing</subject><subject>Signal processing algorithms</subject><subject>Sound</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonic variables measurement</subject><subject>Ultrasonography - methods</subject><subject>Ultrasound</subject><subject>Variables</subject><issn>0885-3010</issn><issn>1525-8955</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNqF0U1r3DAQBmBRUprtptdeAkH0EHrxZvQtHcPSbQsppZCchWyPiIPXTiQ7JP--2uzSQg_NSQg9MxrmJeQjgxVj4C6ubzab9YoD2JVx4g1ZMMVVZZ1SR2QB1qpKAINj8j7nOwAmpePvyDGzyjnJ7IL8-jG22Fd1yNhSzFO3DVM3DnSM9GEOw9RN5f6IdO6nFPI4Dy19DKkLdY-ZholOt0jv0_hU6noacTunE_I2hj7jh8O5JDebL9frb9XVz6_f15dXVSOFmirJmHVCgo4hKGDRCm6UdKjRsFijbnXTmEZGZ0AKRGO5tSGC5YLXShe-JOf7vuX7h7mM7rddbrDvw4DjnL123Bmn3atQSA1KWngVcjAGlDMFfv4vZNowLpgVO_rpH3o3zmkoi_FWcyuELnJJVnvUpDHnhNHfp7LQ9OwZ-F3M_iVmv4vZl5hLwdmh61xvsf3LD7kWcLoHHSL-eZZKlK0o8RsagKoq</recordid><startdate>20080601</startdate><enddate>20080601</enddate><creator>Dencks, S.</creator><creator>Barkmann, R.</creator><creator>Padilla, F.</creator><creator>Laugier, P.</creator><creator>Schmitz, G.</creator><creator>Gluer, C.-C.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Due to multipath transmission in this complex shaped bone, conventional signal processing techniques developed for QUS measurements at peripheral sites frequently fail. Therefore, we propose a model-based estimation of the QUS variables and analyze the performance of the new algorithm. Applying the proposed method to QUS scans of excised proximal femurs increased the fraction of evaluable signals from approx. 60% (using conventional algorithms) to 97%. The correlation of the standard QUS variables broadband ultrasound attenuation (BUA) and speed of sound (SOS) with the established variable bone mineral density (BMD) reported in previous studies is maintained (BUA/BMD: r 2 = 0.69; SOS/BMD: r 2= 0.71; SOS+BUA/BMD: r 2 = 0.88). Additionally, different wave types could be clearly detected and characterized in the trochanteric region. The ability to separate superimposed signals with this approach opens up further diagnostic potential for evaluating waves of different sound paths and wave types through bone tissue.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>18599418</pmid><doi>10.1109/TUFFC.2008.793</doi><tpages>12</tpages></addata></record> |
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| subjects | Algorithm design and analysis Algorithms Attenuation Bone and Bones - diagnostic imaging Bone and Bones - physiology Bone density Bones Broadband Computer Simulation Densitometry - methods Density Femur Femur - diagnostic imaging Femur - physiology Hip Hip joint Humans Image Interpretation, Computer-Assisted - methods Mathematical models Minerals Models, Biological Performance analysis Reproducibility of Results Scattering, Radiation Sensitivity and Specificity Shape measurement Signal processing Signal processing algorithms Sound Ultrasonic imaging Ultrasonic variables measurement Ultrasonography - methods Ultrasound Variables |
| title | Model-based estimation of quantitative ultrasound variables at the proximal femur |
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