Automatic segmentation of magnetic resonance images of the trans-femoral residual limb
An automatic algorithm for the extraction of the skin and bone boundaries from axial magnetic resonance images of the residual limb of trans-femoral amputees is presented. The method makes use of K-means clustering and mathematical morphology. Statistical analysis of the results indicates that the c...
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Veröffentlicht in: | Medical engineering & physics 1998-12, Vol.20 (10), p.756-763 |
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creator | DOUGLAS, T. S SOLOMONIDIS, S. E LEE, V. S. P SPENCE, W. D SANDHAM, W. A HADLEY, D. M |
description | An automatic algorithm for the extraction of the skin and bone boundaries from axial magnetic resonance images of the residual limb of trans-femoral amputees is presented. The method makes use of K-means clustering and mathematical morphology. Statistical analysis of the results indicates that the computer-generated boundaries compare favourably to those drawn by human observers. The boundaries may be used in biomechanical modelling of the interaction between the residual limb and the prosthetic socket. The limb/socket interface determines the quality of prosthetic fit, therefore knowledge of this interface is important for the improvement of socket design in order to achieve patient comfort and mobility. |
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S ; SOLOMONIDIS, S. E ; LEE, V. S. P ; SPENCE, W. D ; SANDHAM, W. A ; HADLEY, D. M</creator><creatorcontrib>DOUGLAS, T. S ; SOLOMONIDIS, S. E ; LEE, V. S. P ; SPENCE, W. D ; SANDHAM, W. A ; HADLEY, D. M</creatorcontrib><description>An automatic algorithm for the extraction of the skin and bone boundaries from axial magnetic resonance images of the residual limb of trans-femoral amputees is presented. The method makes use of K-means clustering and mathematical morphology. Statistical analysis of the results indicates that the computer-generated boundaries compare favourably to those drawn by human observers. The boundaries may be used in biomechanical modelling of the interaction between the residual limb and the prosthetic socket. The limb/socket interface determines the quality of prosthetic fit, therefore knowledge of this interface is important for the improvement of socket design in order to achieve patient comfort and mobility.</description><identifier>ISSN: 1350-4533</identifier><identifier>EISSN: 1873-4030</identifier><identifier>PMID: 10223645</identifier><language>eng</language><publisher>Oxford: Elsevier Science</publisher><subject>Adipose Tissue - pathology ; Algorithms ; Amputation ; Amputation Stumps - pathology ; Artificial Limbs ; Atrophy ; Biological and medical sciences ; Confidence Intervals ; Femur - pathology ; Humans ; Image Enhancement - methods ; Investigative techniques, diagnostic techniques (general aspects) ; Leg - pathology ; Magnetic Resonance Imaging ; Medical sciences ; Miscellaneous. Technology ; Models, Biological ; Radiodiagnosis. Nmr imagery. Nmr spectrometry ; Skin - pathology ; Supine Position ; User-Computer Interface</subject><ispartof>Medical engineering & physics, 1998-12, Vol.20 (10), p.756-763</ispartof><rights>1999 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1718601$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10223645$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>DOUGLAS, T. S</creatorcontrib><creatorcontrib>SOLOMONIDIS, S. E</creatorcontrib><creatorcontrib>LEE, V. S. P</creatorcontrib><creatorcontrib>SPENCE, W. D</creatorcontrib><creatorcontrib>SANDHAM, W. A</creatorcontrib><creatorcontrib>HADLEY, D. M</creatorcontrib><title>Automatic segmentation of magnetic resonance images of the trans-femoral residual limb</title><title>Medical engineering & physics</title><addtitle>Med Eng Phys</addtitle><description>An automatic algorithm for the extraction of the skin and bone boundaries from axial magnetic resonance images of the residual limb of trans-femoral amputees is presented. The method makes use of K-means clustering and mathematical morphology. Statistical analysis of the results indicates that the computer-generated boundaries compare favourably to those drawn by human observers. The boundaries may be used in biomechanical modelling of the interaction between the residual limb and the prosthetic socket. The limb/socket interface determines the quality of prosthetic fit, therefore knowledge of this interface is important for the improvement of socket design in order to achieve patient comfort and mobility.</description><subject>Adipose Tissue - pathology</subject><subject>Algorithms</subject><subject>Amputation</subject><subject>Amputation Stumps - pathology</subject><subject>Artificial Limbs</subject><subject>Atrophy</subject><subject>Biological and medical sciences</subject><subject>Confidence Intervals</subject><subject>Femur - pathology</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Leg - pathology</subject><subject>Magnetic Resonance Imaging</subject><subject>Medical sciences</subject><subject>Miscellaneous. Technology</subject><subject>Models, Biological</subject><subject>Radiodiagnosis. Nmr imagery. Nmr spectrometry</subject><subject>Skin - pathology</subject><subject>Supine Position</subject><subject>User-Computer Interface</subject><issn>1350-4533</issn><issn>1873-4030</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkE9LxDAQxYMorq5-BelBvBWSnTRNjsviP1jwol7LNJ2slSZdm_TgtzeLK57eY96PgfdO2IXQNZSSAz_NHipeygpgwS5j_OScS6ngnC0EX61AyeqCva_nNHpMvS0i7TyFlP0YitEVHneBDsFEcQwYLBV9vlE8hOmDijRhiKUjP044HKi-m7MZet9esTOHQ6Troy7Z28P96-ap3L48Pm_W23IvlE6lQNNJ1Cg7LVojqdWCUIEUBFWlrDQdUo2K1xmy4Bxxo7J2rjarmqODJbv7_bufxq-ZYmp8Hy0NAwYa59goI4wGkBm8OYJz66lr9lPuMn03f0tk4PYIYLQ4uNzN9vGfq4VWXMAPGIFo_g</recordid><startdate>19981201</startdate><enddate>19981201</enddate><creator>DOUGLAS, T. S</creator><creator>SOLOMONIDIS, S. E</creator><creator>LEE, V. S. P</creator><creator>SPENCE, W. D</creator><creator>SANDHAM, W. A</creator><creator>HADLEY, D. M</creator><general>Elsevier Science</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>19981201</creationdate><title>Automatic segmentation of magnetic resonance images of the trans-femoral residual limb</title><author>DOUGLAS, T. S ; SOLOMONIDIS, S. E ; LEE, V. S. P ; SPENCE, W. D ; SANDHAM, W. A ; HADLEY, D. 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Nmr spectrometry</topic><topic>Skin - pathology</topic><topic>Supine Position</topic><topic>User-Computer Interface</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>DOUGLAS, T. S</creatorcontrib><creatorcontrib>SOLOMONIDIS, S. E</creatorcontrib><creatorcontrib>LEE, V. S. P</creatorcontrib><creatorcontrib>SPENCE, W. D</creatorcontrib><creatorcontrib>SANDHAM, W. A</creatorcontrib><creatorcontrib>HADLEY, D. M</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Medical engineering & physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>DOUGLAS, T. S</au><au>SOLOMONIDIS, S. E</au><au>LEE, V. S. P</au><au>SPENCE, W. D</au><au>SANDHAM, W. A</au><au>HADLEY, D. M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic segmentation of magnetic resonance images of the trans-femoral residual limb</atitle><jtitle>Medical engineering & physics</jtitle><addtitle>Med Eng Phys</addtitle><date>1998-12-01</date><risdate>1998</risdate><volume>20</volume><issue>10</issue><spage>756</spage><epage>763</epage><pages>756-763</pages><issn>1350-4533</issn><eissn>1873-4030</eissn><abstract>An automatic algorithm for the extraction of the skin and bone boundaries from axial magnetic resonance images of the residual limb of trans-femoral amputees is presented. The method makes use of K-means clustering and mathematical morphology. Statistical analysis of the results indicates that the computer-generated boundaries compare favourably to those drawn by human observers. The boundaries may be used in biomechanical modelling of the interaction between the residual limb and the prosthetic socket. The limb/socket interface determines the quality of prosthetic fit, therefore knowledge of this interface is important for the improvement of socket design in order to achieve patient comfort and mobility.</abstract><cop>Oxford</cop><pub>Elsevier Science</pub><pmid>10223645</pmid><tpages>8</tpages></addata></record> |
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subjects | Adipose Tissue - pathology Algorithms Amputation Amputation Stumps - pathology Artificial Limbs Atrophy Biological and medical sciences Confidence Intervals Femur - pathology Humans Image Enhancement - methods Investigative techniques, diagnostic techniques (general aspects) Leg - pathology Magnetic Resonance Imaging Medical sciences Miscellaneous. Technology Models, Biological Radiodiagnosis. Nmr imagery. Nmr spectrometry Skin - pathology Supine Position User-Computer Interface |
title | Automatic segmentation of magnetic resonance images of the trans-femoral residual limb |
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