Reliability of tarsal bone segmentation and its contribution to MR kinematic analysis methods
Abstract The purpose of this study was to determine the reliability of tarsal bone segmentation based on magnetic resonance (MR) imaging using commercially available software. All tarsal bones of five subjects were segmented five times each by two operators. Volumes and second moments of volume were...
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| Veröffentlicht in: | Computerized medical imaging and graphics 2007-10, Vol.31 (7), p.523-530 |
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| creator | Wolf, P Luechinger, R Stacoff, A Boesiger, P Stuessi, E |
| description | Abstract The purpose of this study was to determine the reliability of tarsal bone segmentation based on magnetic resonance (MR) imaging using commercially available software. All tarsal bones of five subjects were segmented five times each by two operators. Volumes and second moments of volume were calculated and used to determine the intra- as well as interoperator reproducibility. The results show that these morphological parameters had excellent interclass correlation coefficients (>0.997) indicating that the presented tarsal bone segmentation is a reliable procedure and that operators are in fact interchangeable. The consequences on differences in MR kinematic analysis methods of segmentation due to repetition were also determined. It became evident that one analysis method – fitting surface point clouds – was considerable less affected by repeated segmentation (cuboid: up to 0.2°, other tarsal bones up to 0.1°) compared to a method using principal axes (cuboid up to 6.7°, other tarsal bones up to 0.8°). Thus, the former method is recommended for investigations of tarsal bone kinematics by MR imaging. |
| doi_str_mv | 10.1016/j.compmedimag.2007.06.009 |
| format | Article |
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All tarsal bones of five subjects were segmented five times each by two operators. Volumes and second moments of volume were calculated and used to determine the intra- as well as interoperator reproducibility. The results show that these morphological parameters had excellent interclass correlation coefficients (>0.997) indicating that the presented tarsal bone segmentation is a reliable procedure and that operators are in fact interchangeable. The consequences on differences in MR kinematic analysis methods of segmentation due to repetition were also determined. It became evident that one analysis method – fitting surface point clouds – was considerable less affected by repeated segmentation (cuboid: up to 0.2°, other tarsal bones up to 0.1°) compared to a method using principal axes (cuboid up to 6.7°, other tarsal bones up to 0.8°). Thus, the former method is recommended for investigations of tarsal bone kinematics by MR imaging.</description><identifier>ISSN: 0895-6111</identifier><identifier>EISSN: 1879-0771</identifier><identifier>DOI: 10.1016/j.compmedimag.2007.06.009</identifier><identifier>PMID: 17689923</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Computer-assisted image processing ; Female ; Humans ; Image Processing, Computer-Assisted - methods ; Internal Medicine ; Magnetic Resonance Imaging - methods ; Magnetic Resonance Imaging - standards ; Male ; Methods of MR kinematic analyses ; Other ; Reliability ; Software ; Switzerland ; Tarsal Bones ; Tarsus</subject><ispartof>Computerized medical imaging and graphics, 2007-10, Vol.31 (7), p.523-530</ispartof><rights>Elsevier Ltd</rights><rights>2007 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c461t-ee8119d44c34b906da2b309b406882c78c7853529143e41b95f5f48ef470c8703</citedby><cites>FETCH-LOGICAL-c461t-ee8119d44c34b906da2b309b406882c78c7853529143e41b95f5f48ef470c8703</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S089561110700081X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17689923$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wolf, P</creatorcontrib><creatorcontrib>Luechinger, R</creatorcontrib><creatorcontrib>Stacoff, A</creatorcontrib><creatorcontrib>Boesiger, P</creatorcontrib><creatorcontrib>Stuessi, E</creatorcontrib><title>Reliability of tarsal bone segmentation and its contribution to MR kinematic analysis methods</title><title>Computerized medical imaging and graphics</title><addtitle>Comput Med Imaging Graph</addtitle><description>Abstract The purpose of this study was to determine the reliability of tarsal bone segmentation based on magnetic resonance (MR) imaging using commercially available software. All tarsal bones of five subjects were segmented five times each by two operators. Volumes and second moments of volume were calculated and used to determine the intra- as well as interoperator reproducibility. The results show that these morphological parameters had excellent interclass correlation coefficients (>0.997) indicating that the presented tarsal bone segmentation is a reliable procedure and that operators are in fact interchangeable. The consequences on differences in MR kinematic analysis methods of segmentation due to repetition were also determined. It became evident that one analysis method – fitting surface point clouds – was considerable less affected by repeated segmentation (cuboid: up to 0.2°, other tarsal bones up to 0.1°) compared to a method using principal axes (cuboid up to 6.7°, other tarsal bones up to 0.8°). Thus, the former method is recommended for investigations of tarsal bone kinematics by MR imaging.</description><subject>Computer-assisted image processing</subject><subject>Female</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Internal Medicine</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Magnetic Resonance Imaging - standards</subject><subject>Male</subject><subject>Methods of MR kinematic analyses</subject><subject>Other</subject><subject>Reliability</subject><subject>Software</subject><subject>Switzerland</subject><subject>Tarsal Bones</subject><subject>Tarsus</subject><issn>0895-6111</issn><issn>1879-0771</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkt2L1DAUxYso7rj6L0h88a31Jk3z8SLIsH7AirAq-CIhTW_XzLbNmKTC_PdmnAHFF4VAIPndc-GcU1XPKDQUqHixa1yY9zMOfra3DQOQDYgGQN-rNlRJXYOU9H61AaW7WlBKL6pHKe0AgIGkD6sLKoXSmrWb6usNTt72fvL5QMJIso3JTqQPC5KEtzMu2WYfFmKXgficiAtLjr5ffz3mQN7fkDu_4FwoVyA7HZJPZMb8LQzpcfVgtFPCJ-f7svr8-urT9m19_eHNu-2r69pxQXONqCjVA-eu5b0GMVjWt6B7DkIp5qQqp2s7pilvkdNed2M3coUjl-CUhPayen7S3cfwfcWUzeyTw2myC4Y1GaEYtFSwf4IMeNd1mhdQn0AXQ0oRR7OPxe14MBTMMQSzM3-EYI4hGBCmhFBmn56XrH35_z15dr0A2xOAxZMfHqNJzuPiilZEl80Q_H-tefmXipv84p2d7vCAaRfWWOJIhprEDJiPxzYcywCyFEHRL-1PUxSzXg</recordid><startdate>20071001</startdate><enddate>20071001</enddate><creator>Wolf, P</creator><creator>Luechinger, R</creator><creator>Stacoff, A</creator><creator>Boesiger, P</creator><creator>Stuessi, E</creator><general>Elsevier Ltd</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>7QO</scope><scope>7QP</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20071001</creationdate><title>Reliability of tarsal bone segmentation and its contribution to MR kinematic analysis methods</title><author>Wolf, P ; Luechinger, R ; Stacoff, A ; Boesiger, P ; Stuessi, E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c461t-ee8119d44c34b906da2b309b406882c78c7853529143e41b95f5f48ef470c8703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Computer-assisted image processing</topic><topic>Female</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Internal Medicine</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Magnetic Resonance Imaging - standards</topic><topic>Male</topic><topic>Methods of MR kinematic analyses</topic><topic>Other</topic><topic>Reliability</topic><topic>Software</topic><topic>Switzerland</topic><topic>Tarsal Bones</topic><topic>Tarsus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wolf, P</creatorcontrib><creatorcontrib>Luechinger, R</creatorcontrib><creatorcontrib>Stacoff, A</creatorcontrib><creatorcontrib>Boesiger, P</creatorcontrib><creatorcontrib>Stuessi, E</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Computerized medical imaging and graphics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wolf, P</au><au>Luechinger, R</au><au>Stacoff, A</au><au>Boesiger, P</au><au>Stuessi, E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reliability of tarsal bone segmentation and its contribution to MR kinematic analysis methods</atitle><jtitle>Computerized medical imaging and graphics</jtitle><addtitle>Comput Med Imaging Graph</addtitle><date>2007-10-01</date><risdate>2007</risdate><volume>31</volume><issue>7</issue><spage>523</spage><epage>530</epage><pages>523-530</pages><issn>0895-6111</issn><eissn>1879-0771</eissn><abstract>Abstract The purpose of this study was to determine the reliability of tarsal bone segmentation based on magnetic resonance (MR) imaging using commercially available software. All tarsal bones of five subjects were segmented five times each by two operators. Volumes and second moments of volume were calculated and used to determine the intra- as well as interoperator reproducibility. The results show that these morphological parameters had excellent interclass correlation coefficients (>0.997) indicating that the presented tarsal bone segmentation is a reliable procedure and that operators are in fact interchangeable. The consequences on differences in MR kinematic analysis methods of segmentation due to repetition were also determined. It became evident that one analysis method – fitting surface point clouds – was considerable less affected by repeated segmentation (cuboid: up to 0.2°, other tarsal bones up to 0.1°) compared to a method using principal axes (cuboid up to 6.7°, other tarsal bones up to 0.8°). 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| language | eng |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Computer-assisted image processing Female Humans Image Processing, Computer-Assisted - methods Internal Medicine Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - standards Male Methods of MR kinematic analyses Other Reliability Software Switzerland Tarsal Bones Tarsus |
| title | Reliability of tarsal bone segmentation and its contribution to MR kinematic analysis methods |
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