Local Texture Anisotropy as an Estimate of Muscle Quality in Ultrasound Imaging
This study introduces local pattern texture anisotropy as a novel parameter to differentiate healthy and disordered muscle and to gauge the severity of muscle impairments based on B-mode ultrasound images. Preliminary human results are also presented. A local pattern texture anisotropy index (TAI) w...
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| Veröffentlicht in: | Ultrasound in medicine & biology 2018-05, Vol.44 (5), p.1133-1140 |
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| creator | Dubois, Guillaume J.R. Bachasson, Damien Lacourpaille, Lilian Benveniste, Olivier Hogrel, Jean-Yves |
| description | This study introduces local pattern texture anisotropy as a novel parameter to differentiate healthy and disordered muscle and to gauge the severity of muscle impairments based on B-mode ultrasound images. Preliminary human results are also presented. A local pattern texture anisotropy index (TAI) was computed in one region of interest in the short head of the biceps brachii. The effects of gain settings and box sizes required for TAI computation were investigated. Between-day reliability was studied in patients with sporadic inclusion body myositis (n = 26). The ability of the TAI to discriminate dystrophic from healthy muscle was evaluated in patients with Duchenne muscular dystrophy and healthy controls (n = 16). TAI values were compared with a gray-scale index (GSI). TAI values were less influenced by gain settings than were GSI values. TAI had lower between-day variability (typical error = 2.3%) compared with GSI (typical error = 2.3% vs. 8.3%, respectively). Patients with Duchenne muscular dystrophy had lower TAIs than controls (0.76 ± 0.06 vs. 0.87 ± 0.03, respectively, p |
| doi_str_mv | 10.1016/j.ultrasmedbio.2017.12.017 |
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Preliminary human results are also presented. A local pattern texture anisotropy index (TAI) was computed in one region of interest in the short head of the biceps brachii. The effects of gain settings and box sizes required for TAI computation were investigated. Between-day reliability was studied in patients with sporadic inclusion body myositis (n = 26). The ability of the TAI to discriminate dystrophic from healthy muscle was evaluated in patients with Duchenne muscular dystrophy and healthy controls (n = 16). TAI values were compared with a gray-scale index (GSI). TAI values were less influenced by gain settings than were GSI values. TAI had lower between-day variability (typical error = 2.3%) compared with GSI (typical error = 2.3% vs. 8.3%, respectively). Patients with Duchenne muscular dystrophy had lower TAIs than controls (0.76 ± 0.06 vs. 0.87 ± 0.03, respectively, p < 0.05). At 40% gain, TAI values correlated with percentage predicted elbow flexor strength in inclusion body myositis (R = 0.63, p < 0.001). The TAI may be a promising addition to other texture-based approaches for quantitative muscle ultrasound imaging.</description><identifier>ISSN: 0301-5629</identifier><identifier>EISSN: 1879-291X</identifier><identifier>DOI: 10.1016/j.ultrasmedbio.2017.12.017</identifier><identifier>PMID: 29428167</identifier><language>eng</language><publisher>England: Elsevier Inc</publisher><subject>Anisotropy ; Bioengineering ; Diagnosis, Differential ; Echogenicity ; Female ; Humans ; Imaging ; Inclusion body myositis ; Life Sciences ; Local pattern texture anisotropy ; Male ; Middle Aged ; Muscle dystrophy ; Muscle quality ; Muscle, Skeletal - diagnostic imaging ; Muscle, Skeletal - pathology ; Muscular Dystrophy, Duchenne - diagnostic imaging ; Muscular Dystrophy, Duchenne - pathology ; Quantitative muscle ultrasound ; Reproducibility of Results ; Texture analysis ; Ultrasonography - methods</subject><ispartof>Ultrasound in medicine & biology, 2018-05, Vol.44 (5), p.1133-1140</ispartof><rights>2018 World Federation for Ultrasound in Medicine and Biology</rights><rights>Copyright © 2018 World Federation for Ultrasound in Medicine and Biology. Published by Elsevier Inc. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c466t-27d5444e3da779af76f28e1e9fa78622262c370ab1489dabaf4ea994da61b6943</citedby><cites>FETCH-LOGICAL-c466t-27d5444e3da779af76f28e1e9fa78622262c370ab1489dabaf4ea994da61b6943</cites><orcidid>0000-0002-9664-8121 ; 0000-0002-1167-5797</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0301562918300036$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29428167$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.sorbonne-universite.fr/hal-01962400$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Dubois, Guillaume J.R.</creatorcontrib><creatorcontrib>Bachasson, Damien</creatorcontrib><creatorcontrib>Lacourpaille, Lilian</creatorcontrib><creatorcontrib>Benveniste, Olivier</creatorcontrib><creatorcontrib>Hogrel, Jean-Yves</creatorcontrib><title>Local Texture Anisotropy as an Estimate of Muscle Quality in Ultrasound Imaging</title><title>Ultrasound in medicine & biology</title><addtitle>Ultrasound Med Biol</addtitle><description>This study introduces local pattern texture anisotropy as a novel parameter to differentiate healthy and disordered muscle and to gauge the severity of muscle impairments based on B-mode ultrasound images. Preliminary human results are also presented. A local pattern texture anisotropy index (TAI) was computed in one region of interest in the short head of the biceps brachii. The effects of gain settings and box sizes required for TAI computation were investigated. Between-day reliability was studied in patients with sporadic inclusion body myositis (n = 26). The ability of the TAI to discriminate dystrophic from healthy muscle was evaluated in patients with Duchenne muscular dystrophy and healthy controls (n = 16). TAI values were compared with a gray-scale index (GSI). TAI values were less influenced by gain settings than were GSI values. TAI had lower between-day variability (typical error = 2.3%) compared with GSI (typical error = 2.3% vs. 8.3%, respectively). Patients with Duchenne muscular dystrophy had lower TAIs than controls (0.76 ± 0.06 vs. 0.87 ± 0.03, respectively, p < 0.05). At 40% gain, TAI values correlated with percentage predicted elbow flexor strength in inclusion body myositis (R = 0.63, p < 0.001). The TAI may be a promising addition to other texture-based approaches for quantitative muscle ultrasound imaging.</description><subject>Anisotropy</subject><subject>Bioengineering</subject><subject>Diagnosis, Differential</subject><subject>Echogenicity</subject><subject>Female</subject><subject>Humans</subject><subject>Imaging</subject><subject>Inclusion body myositis</subject><subject>Life Sciences</subject><subject>Local pattern texture anisotropy</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Muscle dystrophy</subject><subject>Muscle quality</subject><subject>Muscle, Skeletal - diagnostic imaging</subject><subject>Muscle, Skeletal - pathology</subject><subject>Muscular Dystrophy, Duchenne - diagnostic imaging</subject><subject>Muscular Dystrophy, Duchenne - pathology</subject><subject>Quantitative muscle ultrasound</subject><subject>Reproducibility of Results</subject><subject>Texture analysis</subject><subject>Ultrasonography - methods</subject><issn>0301-5629</issn><issn>1879-291X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkMFu1DAQhi0EokvhFZDFCQ4JtuPaMbdVW2ilrapKrcTNmjiT4lU2XmynYt8eL1uqHnsaaeab-UcfIZ84qznj6uu6nsccIW2w73yoBeO65qIu5RVZ8FabShj-8zVZsIbx6kQJc0TepbRmjGnV6LfkSBgpWq70glyvgoOR3uKfPEeky8mnkGPY7igkChM9T9lvICMNA72akxuR3sww-ryjfqJ3__4I89TTyw3c--n-PXkzwJjww2M9Jnffz29PL6rV9Y_L0-WqclKpXAndn0gpselBawODVoNokaMZQLdKCKGEazSDjsvW9NDBIBGMkT0o3ikjm2Py5XD3F4x2G8uPcWcDeHuxXNl9j3GjhGTsgRf284HdxvB7xpTtxieH4wgThjlZwRiXzLSMFfTbAXUxpBRxeLrNmd3Lt2v7XL7dy7dclDhdlj8-5sxdGT-t_rddgLMDgMXMg8dok_M4Oex9RJdtH_xLcv4CLD2b_g</recordid><startdate>20180501</startdate><enddate>20180501</enddate><creator>Dubois, Guillaume J.R.</creator><creator>Bachasson, Damien</creator><creator>Lacourpaille, Lilian</creator><creator>Benveniste, Olivier</creator><creator>Hogrel, Jean-Yves</creator><general>Elsevier Inc</general><general>Elsevier</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>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-9664-8121</orcidid><orcidid>https://orcid.org/0000-0002-1167-5797</orcidid></search><sort><creationdate>20180501</creationdate><title>Local Texture Anisotropy as an Estimate of Muscle Quality in Ultrasound Imaging</title><author>Dubois, Guillaume J.R. ; Bachasson, Damien ; Lacourpaille, Lilian ; Benveniste, Olivier ; Hogrel, Jean-Yves</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c466t-27d5444e3da779af76f28e1e9fa78622262c370ab1489dabaf4ea994da61b6943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Anisotropy</topic><topic>Bioengineering</topic><topic>Diagnosis, Differential</topic><topic>Echogenicity</topic><topic>Female</topic><topic>Humans</topic><topic>Imaging</topic><topic>Inclusion body myositis</topic><topic>Life Sciences</topic><topic>Local pattern texture anisotropy</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Muscle dystrophy</topic><topic>Muscle quality</topic><topic>Muscle, Skeletal - diagnostic imaging</topic><topic>Muscle, Skeletal - pathology</topic><topic>Muscular Dystrophy, Duchenne - diagnostic imaging</topic><topic>Muscular Dystrophy, Duchenne - pathology</topic><topic>Quantitative muscle ultrasound</topic><topic>Reproducibility of Results</topic><topic>Texture analysis</topic><topic>Ultrasonography - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dubois, Guillaume J.R.</creatorcontrib><creatorcontrib>Bachasson, Damien</creatorcontrib><creatorcontrib>Lacourpaille, Lilian</creatorcontrib><creatorcontrib>Benveniste, Olivier</creatorcontrib><creatorcontrib>Hogrel, Jean-Yves</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>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Ultrasound in medicine & biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dubois, Guillaume J.R.</au><au>Bachasson, Damien</au><au>Lacourpaille, Lilian</au><au>Benveniste, Olivier</au><au>Hogrel, Jean-Yves</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Local Texture Anisotropy as an Estimate of Muscle Quality in Ultrasound Imaging</atitle><jtitle>Ultrasound in medicine & biology</jtitle><addtitle>Ultrasound Med Biol</addtitle><date>2018-05-01</date><risdate>2018</risdate><volume>44</volume><issue>5</issue><spage>1133</spage><epage>1140</epage><pages>1133-1140</pages><issn>0301-5629</issn><eissn>1879-291X</eissn><abstract>This study introduces local pattern texture anisotropy as a novel parameter to differentiate healthy and disordered muscle and to gauge the severity of muscle impairments based on B-mode ultrasound images. Preliminary human results are also presented. A local pattern texture anisotropy index (TAI) was computed in one region of interest in the short head of the biceps brachii. The effects of gain settings and box sizes required for TAI computation were investigated. Between-day reliability was studied in patients with sporadic inclusion body myositis (n = 26). The ability of the TAI to discriminate dystrophic from healthy muscle was evaluated in patients with Duchenne muscular dystrophy and healthy controls (n = 16). TAI values were compared with a gray-scale index (GSI). TAI values were less influenced by gain settings than were GSI values. TAI had lower between-day variability (typical error = 2.3%) compared with GSI (typical error = 2.3% vs. 8.3%, respectively). Patients with Duchenne muscular dystrophy had lower TAIs than controls (0.76 ± 0.06 vs. 0.87 ± 0.03, respectively, p < 0.05). 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| subjects | Anisotropy Bioengineering Diagnosis, Differential Echogenicity Female Humans Imaging Inclusion body myositis Life Sciences Local pattern texture anisotropy Male Middle Aged Muscle dystrophy Muscle quality Muscle, Skeletal - diagnostic imaging Muscle, Skeletal - pathology Muscular Dystrophy, Duchenne - diagnostic imaging Muscular Dystrophy, Duchenne - pathology Quantitative muscle ultrasound Reproducibility of Results Texture analysis Ultrasonography - methods |
| title | Local Texture Anisotropy as an Estimate of Muscle Quality in Ultrasound Imaging |
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