The 3D data extraction for femur of hip based on CT series images
The 3D data can be extracted by measuring healthy hip joint of patients, which are the basis of making proper artificial hip conform to right physiological characteristics. In this paper, a method based on 2D contour characteristic matching in multilayer is proposed, which extracts 3D data for outer...
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| creator | Luo Sanding Luo Yisha Qin Ling Hu Jianzhong |
| description | The 3D data can be extracted by measuring healthy hip joint of patients, which are the basis of making proper artificial hip conform to right physiological characteristics. In this paper, a method based on 2D contour characteristic matching in multilayer is proposed, which extracts 3D data for outer hip, and the 3D bone information can be exactly obtained. The method consists of adaptive radiation method on bone contour, associated interframe tracing method and bidirectional contour information fusion method for every layer. In fact, the experiment for 3D shows that the method in paper can accurately extract 3D data on proximal femur in CT series images. |
| doi_str_mv | 10.1109/ITiME.2011.6130754 |
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In this paper, a method based on 2D contour characteristic matching in multilayer is proposed, which extracts 3D data for outer hip, and the 3D bone information can be exactly obtained. The method consists of adaptive radiation method on bone contour, associated interframe tracing method and bidirectional contour information fusion method for every layer. In fact, the experiment for 3D shows that the method in paper can accurately extract 3D data on proximal femur in CT series images.</description><identifier>ISBN: 1612847013</identifier><identifier>ISBN: 9781612847016</identifier><identifier>EISBN: 9781612847030</identifier><identifier>EISBN: 1612847048</identifier><identifier>EISBN: 9781612847047</identifier><identifier>EISBN: 161284703X</identifier><identifier>DOI: 10.1109/ITiME.2011.6130754</identifier><language>eng</language><publisher>IEEE</publisher><subject>3D data extraction ; Bones ; Computed tomography ; CT images ; femur ; Hip ; Image edge detection ; Image segmentation ; Joints ; Reliability</subject><ispartof>2011 IEEE International Symposium on IT in Medicine and Education, 2011, Vol.1, p.689-693</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6130754$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6130754$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Luo Sanding</creatorcontrib><creatorcontrib>Luo Yisha</creatorcontrib><creatorcontrib>Qin Ling</creatorcontrib><creatorcontrib>Hu Jianzhong</creatorcontrib><title>The 3D data extraction for femur of hip based on CT series images</title><title>2011 IEEE International Symposium on IT in Medicine and Education</title><addtitle>ITiME</addtitle><description>The 3D data can be extracted by measuring healthy hip joint of patients, which are the basis of making proper artificial hip conform to right physiological characteristics. In this paper, a method based on 2D contour characteristic matching in multilayer is proposed, which extracts 3D data for outer hip, and the 3D bone information can be exactly obtained. The method consists of adaptive radiation method on bone contour, associated interframe tracing method and bidirectional contour information fusion method for every layer. In fact, the experiment for 3D shows that the method in paper can accurately extract 3D data on proximal femur in CT series images.</description><subject>3D data extraction</subject><subject>Bones</subject><subject>Computed tomography</subject><subject>CT images</subject><subject>femur</subject><subject>Hip</subject><subject>Image edge detection</subject><subject>Image segmentation</subject><subject>Joints</subject><subject>Reliability</subject><isbn>1612847013</isbn><isbn>9781612847016</isbn><isbn>9781612847030</isbn><isbn>1612847048</isbn><isbn>9781612847047</isbn><isbn>161284703X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1T8tOwzAQNEJIQMkPwMU_kLAbN34cq1CgUhGX3Cs_1tSIksoOEvw9kShzGY1mtDvD2C1CgwjmfjOkl3XTAmIjUYDqlmesMkqjxFYvFQg4Z9f_AsUlq0p5hxlSGq3aK7Ya9sTFAw92spy-p2z9lMZPHsfMIx2-Mh8j36cjd7ZQ4LPTD7xQTlR4Otg3KjfsItqPQtWJF2x4XA_9c719fdr0q22dDEy1E0TahA6k86TBoJzbGud9JzG2kYy30YfQBRnsHPAOolKuC60WzqISYsHu_s4mItod8_w8_-xOo8UvhtdKrw</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Luo Sanding</creator><creator>Luo Yisha</creator><creator>Qin Ling</creator><creator>Hu Jianzhong</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201112</creationdate><title>The 3D data extraction for femur of hip based on CT series images</title><author>Luo Sanding ; Luo Yisha ; Qin Ling ; Hu Jianzhong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-b3ee89d506bce809163079bcc561f2fe9cafcdd5d6dace8cb0f77b5d283ba1733</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>3D data extraction</topic><topic>Bones</topic><topic>Computed tomography</topic><topic>CT images</topic><topic>femur</topic><topic>Hip</topic><topic>Image edge detection</topic><topic>Image segmentation</topic><topic>Joints</topic><topic>Reliability</topic><toplevel>online_resources</toplevel><creatorcontrib>Luo Sanding</creatorcontrib><creatorcontrib>Luo Yisha</creatorcontrib><creatorcontrib>Qin Ling</creatorcontrib><creatorcontrib>Hu Jianzhong</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Luo Sanding</au><au>Luo Yisha</au><au>Qin Ling</au><au>Hu Jianzhong</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The 3D data extraction for femur of hip based on CT series images</atitle><btitle>2011 IEEE International Symposium on IT in Medicine and Education</btitle><stitle>ITiME</stitle><date>2011-12</date><risdate>2011</risdate><volume>1</volume><spage>689</spage><epage>693</epage><pages>689-693</pages><isbn>1612847013</isbn><isbn>9781612847016</isbn><eisbn>9781612847030</eisbn><eisbn>1612847048</eisbn><eisbn>9781612847047</eisbn><eisbn>161284703X</eisbn><abstract>The 3D data can be extracted by measuring healthy hip joint of patients, which are the basis of making proper artificial hip conform to right physiological characteristics. In this paper, a method based on 2D contour characteristic matching in multilayer is proposed, which extracts 3D data for outer hip, and the 3D bone information can be exactly obtained. The method consists of adaptive radiation method on bone contour, associated interframe tracing method and bidirectional contour information fusion method for every layer. In fact, the experiment for 3D shows that the method in paper can accurately extract 3D data on proximal femur in CT series images.</abstract><pub>IEEE</pub><doi>10.1109/ITiME.2011.6130754</doi><tpages>5</tpages></addata></record> |
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| subjects | 3D data extraction Bones Computed tomography CT images femur Hip Image edge detection Image segmentation Joints Reliability |
| title | The 3D data extraction for femur of hip based on CT series images |
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