Characterization of trabecular bone plate‐rod microarchitecture using multirow detector CT and the tensor scale: Algorithms, validation, and applications to pilot human studies

Purpose: Osteoporosis is a common bone disease associated with increased risk of low‐trauma fractures leading to substantial morbidity, mortality, and financial costs. Clinically, osteoporosis is defined by low bone mineral density (BMD); however, increasing evidence suggests that trabecular bone (T...

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Veröffentlicht in:Medical physics (Lancaster) 2015-09, Vol.42 (9), p.5410-5425
Hauptverfasser: Saha, Punam K., Liu, Yinxiao, Chen, Cheng, Jin, Dakai, Letuchy, Elena M., Xu, Ziyue, Amelon, Ryan E., Burns, Trudy L., Torner, James C., Levy, Steven M., Calarge, Chadi A.
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container_end_page 5425
container_issue 9
container_start_page 5410
container_title Medical physics (Lancaster)
container_volume 42
creator Saha, Punam K.
Liu, Yinxiao
Chen, Cheng
Jin, Dakai
Letuchy, Elena M.
Xu, Ziyue
Amelon, Ryan E.
Burns, Trudy L.
Torner, James C.
Levy, Steven M.
Calarge, Chadi A.
description Purpose: Osteoporosis is a common bone disease associated with increased risk of low‐trauma fractures leading to substantial morbidity, mortality, and financial costs. Clinically, osteoporosis is defined by low bone mineral density (BMD); however, increasing evidence suggests that trabecular bone (TB) microarchitectural quality is an important determinant of bone strength and fracture risk. A tensor scale based algorithm for in vivo characterization of TB plate‐rod microarchitecture at the distal tibia using multirow detector CT (MD‐CT) imaging is presented and its performance and applications are examined. Methods: The tensor scale characterizes individual TB on the continuum between a perfect plate and a perfect rod and computes their orientation using optimal ellipsoidal representation of local structures. The accuracy of the method was evaluated using computer‐generated phantom images at a resolution and signal‐to‐noise ratio achievable in vivo. The robustness of the method was examined in terms of stability across a wide range of voxel sizes, repeat scan reproducibility, and correlation between TB measures derived by imaging human ankle specimens under ex vivo and in vivo conditions. Finally, the application of the method was evaluated in pilot human studies involving healthy young‐adult volunteers (age: 19 to 21 yr; 51 females and 46 males) and patients treated with selective serotonin reuptake inhibitors (SSRIs) (age: 19 to 21 yr; six males and six females). Results: An error of (3.2% ± 2.0%) (mean ± SD), computed as deviation from known measures of TB plate‐width, was observed for computer‐generated phantoms. An intraclass correlation coefficient of 0.95 was observed for tensor scale TB measures in repeat MD‐CT scans where the measures were averaged over a small volume of interest of 1.05 mm diameter with limited smoothing effects. The method was found to be highly stable at different voxel sizes with an error of (2.29% ± 1.56%) at an in vivo voxel size as compared to the original ex vivo voxel size. Tensor scale measures derived from imaging under in vivo and ex vivo conditions with significantly different modulation transfer function, i.e., difference in “true resolution,” showed strong linear correlation (r = 0.92). The study of healthy volunteers shows that, after adjustment for height and weight, males have a 14% higher mean TB plate‐width as compared to females (p < 0.05). SSRI‐treated patients have 12.5% lower mean TB plate‐width (p = 0.052)
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Clinically, osteoporosis is defined by low bone mineral density (BMD); however, increasing evidence suggests that trabecular bone (TB) microarchitectural quality is an important determinant of bone strength and fracture risk. A tensor scale based algorithm for in vivo characterization of TB plate‐rod microarchitecture at the distal tibia using multirow detector CT (MD‐CT) imaging is presented and its performance and applications are examined. Methods: The tensor scale characterizes individual TB on the continuum between a perfect plate and a perfect rod and computes their orientation using optimal ellipsoidal representation of local structures. The accuracy of the method was evaluated using computer‐generated phantom images at a resolution and signal‐to‐noise ratio achievable in vivo. The robustness of the method was examined in terms of stability across a wide range of voxel sizes, repeat scan reproducibility, and correlation between TB measures derived by imaging human ankle specimens under ex vivo and in vivo conditions. Finally, the application of the method was evaluated in pilot human studies involving healthy young‐adult volunteers (age: 19 to 21 yr; 51 females and 46 males) and patients treated with selective serotonin reuptake inhibitors (SSRIs) (age: 19 to 21 yr; six males and six females). Results: An error of (3.2% ± 2.0%) (mean ± SD), computed as deviation from known measures of TB plate‐width, was observed for computer‐generated phantoms. An intraclass correlation coefficient of 0.95 was observed for tensor scale TB measures in repeat MD‐CT scans where the measures were averaged over a small volume of interest of 1.05 mm diameter with limited smoothing effects. The method was found to be highly stable at different voxel sizes with an error of (2.29% ± 1.56%) at an in vivo voxel size as compared to the original ex vivo voxel size. Tensor scale measures derived from imaging under in vivo and ex vivo conditions with significantly different modulation transfer function, i.e., difference in “true resolution,” showed strong linear correlation (r = 0.92). The study of healthy volunteers shows that, after adjustment for height and weight, males have a 14% higher mean TB plate‐width as compared to females (p &lt; 0.05). SSRI‐treated patients have 12.5% lower mean TB plate‐width (p = 0.052) as compared to age‐similar and sex‐, height‐, and weight‐matched healthy controls. In contrast, the observed group difference in dual‐energy x‐ray absorptiometry (DXA)‐derived hip BMD was 10.5% between males and females and only 5.04% between healthy controls and patients on SSRIs. Conclusions: Tensor scale analysis of MD‐CT images yields accurate and reproducible characterization of TB plate‐rod microarchitecture that may be more sensitive than DXA‐derived BMD to sex differences and to the skeletal changes associated with medical conditions or their treatments.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.4928481</identifier><identifier>PMID: 26328990</identifier><language>eng</language><publisher>United States: American Association of Physicists in Medicine</publisher><subject>Absorptiometry, Photon ; Aged, 80 and over ; Algorithms ; Biological material, e.g. blood, urine; Haemocytometers ; bone ; Bone and Bones - cytology ; Bone and Bones - diagnostic imaging ; Bone and Bones - drug effects ; Bone and Bones - pathology ; bone biomechanics ; Case-Control Studies ; Computed tomography ; Computerised tomographs ; computerised tomography ; diseases ; Eigenvalues ; Female ; Humans ; Image analysis ; Image data processing or generation, in general ; Image scanners ; Ion beam assisted deposition ; Linear regression ; Male ; medical image processing ; Medical X‐ray imaging ; microarchitecture ; Modulation transfer functions ; Multidetector Computed Tomography ; multirow detector CT ; Musculoskeletal diseases ; orientation ; Osteoporosis - diagnostic imaging ; Osteoporosis - drug therapy ; Osteoporosis - pathology ; Phantoms, Imaging ; Pilot Projects ; plate‐width ; Radiography ; selective serotonin reuptake inhibitors ; Serotonin Uptake Inhibitors - pharmacology ; Serotonin Uptake Inhibitors - therapeutic use ; Tensor methods ; tensor scale ; tensors ; Tissue Measurements ; trabecular bone ; X-Ray Microtomography ; Young Adult</subject><ispartof>Medical physics (Lancaster), 2015-09, Vol.42 (9), p.5410-5425</ispartof><rights>2015 American Association of Physicists in Medicine</rights><rights>Copyright © 2015 American Association of Physicists in Medicine 2015 American Association of Physicists in Medicine</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4131-21b47538e5540e6a4141fcac369c789fadca7fed30394c8c731a28811d2448bc3</citedby><cites>FETCH-LOGICAL-c4131-21b47538e5540e6a4141fcac369c789fadca7fed30394c8c731a28811d2448bc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1118%2F1.4928481$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1118%2F1.4928481$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26328990$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Saha, Punam K.</creatorcontrib><creatorcontrib>Liu, Yinxiao</creatorcontrib><creatorcontrib>Chen, Cheng</creatorcontrib><creatorcontrib>Jin, Dakai</creatorcontrib><creatorcontrib>Letuchy, Elena M.</creatorcontrib><creatorcontrib>Xu, Ziyue</creatorcontrib><creatorcontrib>Amelon, Ryan E.</creatorcontrib><creatorcontrib>Burns, Trudy L.</creatorcontrib><creatorcontrib>Torner, James C.</creatorcontrib><creatorcontrib>Levy, Steven M.</creatorcontrib><creatorcontrib>Calarge, Chadi A.</creatorcontrib><title>Characterization of trabecular bone plate‐rod microarchitecture using multirow detector CT and the tensor scale: Algorithms, validation, and applications to pilot human studies</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description>Purpose: Osteoporosis is a common bone disease associated with increased risk of low‐trauma fractures leading to substantial morbidity, mortality, and financial costs. Clinically, osteoporosis is defined by low bone mineral density (BMD); however, increasing evidence suggests that trabecular bone (TB) microarchitectural quality is an important determinant of bone strength and fracture risk. A tensor scale based algorithm for in vivo characterization of TB plate‐rod microarchitecture at the distal tibia using multirow detector CT (MD‐CT) imaging is presented and its performance and applications are examined. Methods: The tensor scale characterizes individual TB on the continuum between a perfect plate and a perfect rod and computes their orientation using optimal ellipsoidal representation of local structures. The accuracy of the method was evaluated using computer‐generated phantom images at a resolution and signal‐to‐noise ratio achievable in vivo. The robustness of the method was examined in terms of stability across a wide range of voxel sizes, repeat scan reproducibility, and correlation between TB measures derived by imaging human ankle specimens under ex vivo and in vivo conditions. Finally, the application of the method was evaluated in pilot human studies involving healthy young‐adult volunteers (age: 19 to 21 yr; 51 females and 46 males) and patients treated with selective serotonin reuptake inhibitors (SSRIs) (age: 19 to 21 yr; six males and six females). Results: An error of (3.2% ± 2.0%) (mean ± SD), computed as deviation from known measures of TB plate‐width, was observed for computer‐generated phantoms. An intraclass correlation coefficient of 0.95 was observed for tensor scale TB measures in repeat MD‐CT scans where the measures were averaged over a small volume of interest of 1.05 mm diameter with limited smoothing effects. The method was found to be highly stable at different voxel sizes with an error of (2.29% ± 1.56%) at an in vivo voxel size as compared to the original ex vivo voxel size. Tensor scale measures derived from imaging under in vivo and ex vivo conditions with significantly different modulation transfer function, i.e., difference in “true resolution,” showed strong linear correlation (r = 0.92). The study of healthy volunteers shows that, after adjustment for height and weight, males have a 14% higher mean TB plate‐width as compared to females (p &lt; 0.05). SSRI‐treated patients have 12.5% lower mean TB plate‐width (p = 0.052) as compared to age‐similar and sex‐, height‐, and weight‐matched healthy controls. In contrast, the observed group difference in dual‐energy x‐ray absorptiometry (DXA)‐derived hip BMD was 10.5% between males and females and only 5.04% between healthy controls and patients on SSRIs. Conclusions: Tensor scale analysis of MD‐CT images yields accurate and reproducible characterization of TB plate‐rod microarchitecture that may be more sensitive than DXA‐derived BMD to sex differences and to the skeletal changes associated with medical conditions or their treatments.</description><subject>Absorptiometry, Photon</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Biological material, e.g. blood, urine; Haemocytometers</subject><subject>bone</subject><subject>Bone and Bones - cytology</subject><subject>Bone and Bones - diagnostic imaging</subject><subject>Bone and Bones - drug effects</subject><subject>Bone and Bones - pathology</subject><subject>bone biomechanics</subject><subject>Case-Control Studies</subject><subject>Computed tomography</subject><subject>Computerised tomographs</subject><subject>computerised tomography</subject><subject>diseases</subject><subject>Eigenvalues</subject><subject>Female</subject><subject>Humans</subject><subject>Image analysis</subject><subject>Image data processing or generation, in general</subject><subject>Image scanners</subject><subject>Ion beam assisted deposition</subject><subject>Linear regression</subject><subject>Male</subject><subject>medical image processing</subject><subject>Medical X‐ray imaging</subject><subject>microarchitecture</subject><subject>Modulation transfer functions</subject><subject>Multidetector Computed Tomography</subject><subject>multirow detector CT</subject><subject>Musculoskeletal diseases</subject><subject>orientation</subject><subject>Osteoporosis - diagnostic imaging</subject><subject>Osteoporosis - drug therapy</subject><subject>Osteoporosis - pathology</subject><subject>Phantoms, Imaging</subject><subject>Pilot Projects</subject><subject>plate‐width</subject><subject>Radiography</subject><subject>selective serotonin reuptake inhibitors</subject><subject>Serotonin Uptake Inhibitors - pharmacology</subject><subject>Serotonin Uptake Inhibitors - therapeutic use</subject><subject>Tensor methods</subject><subject>tensor scale</subject><subject>tensors</subject><subject>Tissue Measurements</subject><subject>trabecular bone</subject><subject>X-Ray Microtomography</subject><subject>Young Adult</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc9u1DAQhy0EokvhwAsgH0Fqih07G5tDpWrFP6kIDuVsTZzJxsiJg-20KicegWfhkXgS0t2lggOnkWY-fTOaHyFPOTvlnKuX_FTqUknF75FVKWtRyJLp-2TFmJZFKVl1RB6l9IUxthYVe0iOyrUoldZsRX5ueohgM0b3DbILIw0dzREatLOHSJswIp08ZPz1_UcMLR2cjQGi7V1Gm-eIdE5u3NJh9tnFcE1bvB2ESDeXFMaW5h5pxjEtnWTB4yt67rchutwP6YRegXftbvHJjoZp8s7uGonmQCfnQ6b9PMBIU55bh-kxedCBT_jkUI_J5zevLzfviouPb99vzi8KK7ngRckbWVdCYVVJhmuQXPLOghVrbWulO2gt1B22ggktrbK14FAqxXlbSqkaK47J2d47zc2ArcVx-Ys3U3QDxBsTwJl_J6PrzTZcGVnJiulqETw_CGL4OmPKZnDJovcwYpiT4TXTQq814wv6Yo8uz00pYne3hjNzm7Hh5pDxwj77-6478k-oC1DsgWvn8eb_JvPh0074G773tUU</recordid><startdate>201509</startdate><enddate>201509</enddate><creator>Saha, Punam K.</creator><creator>Liu, Yinxiao</creator><creator>Chen, Cheng</creator><creator>Jin, Dakai</creator><creator>Letuchy, Elena M.</creator><creator>Xu, Ziyue</creator><creator>Amelon, Ryan E.</creator><creator>Burns, Trudy L.</creator><creator>Torner, James C.</creator><creator>Levy, Steven M.</creator><creator>Calarge, Chadi A.</creator><general>American Association of Physicists in Medicine</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>201509</creationdate><title>Characterization of trabecular bone plate‐rod microarchitecture using multirow detector CT and the tensor scale: Algorithms, validation, and applications to pilot human studies</title><author>Saha, Punam K. ; Liu, Yinxiao ; Chen, Cheng ; Jin, Dakai ; Letuchy, Elena M. ; Xu, Ziyue ; Amelon, Ryan E. ; Burns, Trudy L. ; Torner, James C. ; Levy, Steven M. ; Calarge, Chadi A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4131-21b47538e5540e6a4141fcac369c789fadca7fed30394c8c731a28811d2448bc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Absorptiometry, Photon</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Biological material, e.g. blood, urine; Haemocytometers</topic><topic>bone</topic><topic>Bone and Bones - cytology</topic><topic>Bone and Bones - diagnostic imaging</topic><topic>Bone and Bones - drug effects</topic><topic>Bone and Bones - pathology</topic><topic>bone biomechanics</topic><topic>Case-Control Studies</topic><topic>Computed tomography</topic><topic>Computerised tomographs</topic><topic>computerised tomography</topic><topic>diseases</topic><topic>Eigenvalues</topic><topic>Female</topic><topic>Humans</topic><topic>Image analysis</topic><topic>Image data processing or generation, in general</topic><topic>Image scanners</topic><topic>Ion beam assisted deposition</topic><topic>Linear regression</topic><topic>Male</topic><topic>medical image processing</topic><topic>Medical X‐ray imaging</topic><topic>microarchitecture</topic><topic>Modulation transfer functions</topic><topic>Multidetector Computed Tomography</topic><topic>multirow detector CT</topic><topic>Musculoskeletal diseases</topic><topic>orientation</topic><topic>Osteoporosis - diagnostic imaging</topic><topic>Osteoporosis - drug therapy</topic><topic>Osteoporosis - pathology</topic><topic>Phantoms, Imaging</topic><topic>Pilot Projects</topic><topic>plate‐width</topic><topic>Radiography</topic><topic>selective serotonin reuptake inhibitors</topic><topic>Serotonin Uptake Inhibitors - pharmacology</topic><topic>Serotonin Uptake Inhibitors - therapeutic use</topic><topic>Tensor methods</topic><topic>tensor scale</topic><topic>tensors</topic><topic>Tissue Measurements</topic><topic>trabecular bone</topic><topic>X-Ray Microtomography</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Saha, Punam K.</creatorcontrib><creatorcontrib>Liu, Yinxiao</creatorcontrib><creatorcontrib>Chen, Cheng</creatorcontrib><creatorcontrib>Jin, Dakai</creatorcontrib><creatorcontrib>Letuchy, Elena M.</creatorcontrib><creatorcontrib>Xu, Ziyue</creatorcontrib><creatorcontrib>Amelon, Ryan E.</creatorcontrib><creatorcontrib>Burns, Trudy L.</creatorcontrib><creatorcontrib>Torner, James C.</creatorcontrib><creatorcontrib>Levy, Steven M.</creatorcontrib><creatorcontrib>Calarge, Chadi A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saha, Punam K.</au><au>Liu, Yinxiao</au><au>Chen, Cheng</au><au>Jin, Dakai</au><au>Letuchy, Elena M.</au><au>Xu, Ziyue</au><au>Amelon, Ryan E.</au><au>Burns, Trudy L.</au><au>Torner, James C.</au><au>Levy, Steven M.</au><au>Calarge, Chadi A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization of trabecular bone plate‐rod microarchitecture using multirow detector CT and the tensor scale: Algorithms, validation, and applications to pilot human studies</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2015-09</date><risdate>2015</risdate><volume>42</volume><issue>9</issue><spage>5410</spage><epage>5425</epage><pages>5410-5425</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><abstract>Purpose: Osteoporosis is a common bone disease associated with increased risk of low‐trauma fractures leading to substantial morbidity, mortality, and financial costs. Clinically, osteoporosis is defined by low bone mineral density (BMD); however, increasing evidence suggests that trabecular bone (TB) microarchitectural quality is an important determinant of bone strength and fracture risk. A tensor scale based algorithm for in vivo characterization of TB plate‐rod microarchitecture at the distal tibia using multirow detector CT (MD‐CT) imaging is presented and its performance and applications are examined. Methods: The tensor scale characterizes individual TB on the continuum between a perfect plate and a perfect rod and computes their orientation using optimal ellipsoidal representation of local structures. The accuracy of the method was evaluated using computer‐generated phantom images at a resolution and signal‐to‐noise ratio achievable in vivo. The robustness of the method was examined in terms of stability across a wide range of voxel sizes, repeat scan reproducibility, and correlation between TB measures derived by imaging human ankle specimens under ex vivo and in vivo conditions. Finally, the application of the method was evaluated in pilot human studies involving healthy young‐adult volunteers (age: 19 to 21 yr; 51 females and 46 males) and patients treated with selective serotonin reuptake inhibitors (SSRIs) (age: 19 to 21 yr; six males and six females). Results: An error of (3.2% ± 2.0%) (mean ± SD), computed as deviation from known measures of TB plate‐width, was observed for computer‐generated phantoms. An intraclass correlation coefficient of 0.95 was observed for tensor scale TB measures in repeat MD‐CT scans where the measures were averaged over a small volume of interest of 1.05 mm diameter with limited smoothing effects. The method was found to be highly stable at different voxel sizes with an error of (2.29% ± 1.56%) at an in vivo voxel size as compared to the original ex vivo voxel size. Tensor scale measures derived from imaging under in vivo and ex vivo conditions with significantly different modulation transfer function, i.e., difference in “true resolution,” showed strong linear correlation (r = 0.92). The study of healthy volunteers shows that, after adjustment for height and weight, males have a 14% higher mean TB plate‐width as compared to females (p &lt; 0.05). SSRI‐treated patients have 12.5% lower mean TB plate‐width (p = 0.052) as compared to age‐similar and sex‐, height‐, and weight‐matched healthy controls. In contrast, the observed group difference in dual‐energy x‐ray absorptiometry (DXA)‐derived hip BMD was 10.5% between males and females and only 5.04% between healthy controls and patients on SSRIs. Conclusions: Tensor scale analysis of MD‐CT images yields accurate and reproducible characterization of TB plate‐rod microarchitecture that may be more sensitive than DXA‐derived BMD to sex differences and to the skeletal changes associated with medical conditions or their treatments.</abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><pmid>26328990</pmid><doi>10.1118/1.4928481</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record>
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ispartof Medical physics (Lancaster), 2015-09, Vol.42 (9), p.5410-5425
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2473-4209
language eng
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source MEDLINE; Wiley Online Library Journals Frontfile Complete; Alma/SFX Local Collection
subjects Absorptiometry, Photon
Aged, 80 and over
Algorithms
Biological material, e.g. blood, urine
Haemocytometers
bone
Bone and Bones - cytology
Bone and Bones - diagnostic imaging
Bone and Bones - drug effects
Bone and Bones - pathology
bone biomechanics
Case-Control Studies
Computed tomography
Computerised tomographs
computerised tomography
diseases
Eigenvalues
Female
Humans
Image analysis
Image data processing or generation, in general
Image scanners
Ion beam assisted deposition
Linear regression
Male
medical image processing
Medical X‐ray imaging
microarchitecture
Modulation transfer functions
Multidetector Computed Tomography
multirow detector CT
Musculoskeletal diseases
orientation
Osteoporosis - diagnostic imaging
Osteoporosis - drug therapy
Osteoporosis - pathology
Phantoms, Imaging
Pilot Projects
plate‐width
Radiography
selective serotonin reuptake inhibitors
Serotonin Uptake Inhibitors - pharmacology
Serotonin Uptake Inhibitors - therapeutic use
Tensor methods
tensor scale
tensors
Tissue Measurements
trabecular bone
X-Ray Microtomography
Young Adult
title Characterization of trabecular bone plate‐rod microarchitecture using multirow detector CT and the tensor scale: Algorithms, validation, and applications to pilot human studies
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