Non-Rigid Registration for Automatic Fracture Segmentation

Automatic segmentation of anatomical structures is often performed using model-based non-rigid registration methods. These algorithms work well when the images do not contain any large deviations from the normal anatomy. We have previously used such a method to generate patient specific models of hi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Pettersson, J., Knutsson, H., Borga, M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1188
container_issue
container_start_page 1185
container_title
container_volume
creator Pettersson, J.
Knutsson, H.
Borga, M.
description Automatic segmentation of anatomical structures is often performed using model-based non-rigid registration methods. These algorithms work well when the images do not contain any large deviations from the normal anatomy. We have previously used such a method to generate patient specific models of hip bones for surgery simulation. The method that was used, the morphon method, registers two-or three-dimensional images using a multi-resolution deformation scheme. A prototype image is iteratively registered to a target image using quadrature filter phase difference to estimate the local displacement. The morphon method has in this work been extended to deal with automatic segmentation of fractured bones. Two features have been added. First, the method is modified such that multiple prototypes (in this case two) can be used. Second, normalised convolution is utilized for the displacement estimation, to guide the registration of the second prototype, based on the result of the registration of the first one.
doi_str_mv 10.1109/ICIP.2006.312695
format Conference Proceeding
fullrecord <record><control><sourceid>swepub_6IE</sourceid><recordid>TN_cdi_ieee_primary_4106747</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4106747</ieee_id><sourcerecordid>oai_DiVA_org_liu_34136</sourcerecordid><originalsourceid>FETCH-LOGICAL-i212t-773ae671aabd688916ca6b200b91a9c567f22e7a39e0e9485a9f8a3c75647f993</originalsourceid><addsrcrecordid>eNpVz1tLw0AQBeD1Bsbad8GX_ABTZ3Y3e_GtRKuFolIvr2GSbsJK05RNgvjvLVYEn4bD-TgwjF0gTBDBXs-z-fOEA6iJQK5sesDGVhuUXEqQBuGQRVwYTEwq7dG_DsQxizDlPJHGwCk767oPAA4oMGI3j-0mWfrar-Klq33XB-p9u4mrNsTToW-bXSzjWaCyH4KLX1zduE3_Y87ZSUXrzo1_74i9ze5es4dk8XQ_z6aLxHPkfaK1IKc0EhUrZYxFVZIqdp8UFsmWqdIV506TsA6clSYlWxkSpU6V1JW1YsSu9rvdp9sORb4NvqHwlbfk81v_Ps3bUOdrP-RColA7frnn3jn3hyWC0lKLbyYAW0g</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Non-Rigid Registration for Automatic Fracture Segmentation</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Pettersson, J. ; Knutsson, H. ; Borga, M.</creator><creatorcontrib>Pettersson, J. ; Knutsson, H. ; Borga, M.</creatorcontrib><description>Automatic segmentation of anatomical structures is often performed using model-based non-rigid registration methods. These algorithms work well when the images do not contain any large deviations from the normal anatomy. We have previously used such a method to generate patient specific models of hip bones for surgery simulation. The method that was used, the morphon method, registers two-or three-dimensional images using a multi-resolution deformation scheme. A prototype image is iteratively registered to a target image using quadrature filter phase difference to estimate the local displacement. The morphon method has in this work been extended to deal with automatic segmentation of fractured bones. Two features have been added. First, the method is modified such that multiple prototypes (in this case two) can be used. Second, normalised convolution is utilized for the displacement estimation, to guide the registration of the second prototype, based on the result of the registration of the first one.</description><identifier>ISSN: 1522-4880</identifier><identifier>ISBN: 9781424404803</identifier><identifier>ISBN: 1424404800</identifier><identifier>ISBN: 1424404819</identifier><identifier>ISBN: 9781424404810</identifier><identifier>EISSN: 2381-8549</identifier><identifier>EISBN: 9781424404810</identifier><identifier>EISBN: 1424404819</identifier><identifier>DOI: 10.1109/ICIP.2006.312695</identifier><language>eng</language><publisher>IEEE</publisher><subject>Anatomical structure ; Anatomy ; Biomedical image processing ; Bones ; Computer Tomography ; Convolution ; Filters ; Hip ; Image segmentation ; MEDICIN ; MEDICINE ; Phase estimation ; Prototypes ; Registration ; Segmentation ; Surgery</subject><ispartof>2006 International Conference on Image Processing, 2006, p.1185-1188</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/4106747$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,309,310,777,781,786,787,882,2052,4036,4037,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4106747$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-34136$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Pettersson, J.</creatorcontrib><creatorcontrib>Knutsson, H.</creatorcontrib><creatorcontrib>Borga, M.</creatorcontrib><title>Non-Rigid Registration for Automatic Fracture Segmentation</title><title>2006 International Conference on Image Processing</title><addtitle>ICIP</addtitle><description>Automatic segmentation of anatomical structures is often performed using model-based non-rigid registration methods. These algorithms work well when the images do not contain any large deviations from the normal anatomy. We have previously used such a method to generate patient specific models of hip bones for surgery simulation. The method that was used, the morphon method, registers two-or three-dimensional images using a multi-resolution deformation scheme. A prototype image is iteratively registered to a target image using quadrature filter phase difference to estimate the local displacement. The morphon method has in this work been extended to deal with automatic segmentation of fractured bones. Two features have been added. First, the method is modified such that multiple prototypes (in this case two) can be used. Second, normalised convolution is utilized for the displacement estimation, to guide the registration of the second prototype, based on the result of the registration of the first one.</description><subject>Anatomical structure</subject><subject>Anatomy</subject><subject>Biomedical image processing</subject><subject>Bones</subject><subject>Computer Tomography</subject><subject>Convolution</subject><subject>Filters</subject><subject>Hip</subject><subject>Image segmentation</subject><subject>MEDICIN</subject><subject>MEDICINE</subject><subject>Phase estimation</subject><subject>Prototypes</subject><subject>Registration</subject><subject>Segmentation</subject><subject>Surgery</subject><issn>1522-4880</issn><issn>2381-8549</issn><isbn>9781424404803</isbn><isbn>1424404800</isbn><isbn>1424404819</isbn><isbn>9781424404810</isbn><isbn>9781424404810</isbn><isbn>1424404819</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVz1tLw0AQBeD1Bsbad8GX_ABTZ3Y3e_GtRKuFolIvr2GSbsJK05RNgvjvLVYEn4bD-TgwjF0gTBDBXs-z-fOEA6iJQK5sesDGVhuUXEqQBuGQRVwYTEwq7dG_DsQxizDlPJHGwCk767oPAA4oMGI3j-0mWfrar-Klq33XB-p9u4mrNsTToW-bXSzjWaCyH4KLX1zduE3_Y87ZSUXrzo1_74i9ze5es4dk8XQ_z6aLxHPkfaK1IKc0EhUrZYxFVZIqdp8UFsmWqdIV506TsA6clSYlWxkSpU6V1JW1YsSu9rvdp9sORb4NvqHwlbfk81v_Ps3bUOdrP-RColA7frnn3jn3hyWC0lKLbyYAW0g</recordid><startdate>200610</startdate><enddate>200610</enddate><creator>Pettersson, J.</creator><creator>Knutsson, H.</creator><creator>Borga, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>ADTPV</scope><scope>BNKNJ</scope><scope>DG8</scope></search><sort><creationdate>200610</creationdate><title>Non-Rigid Registration for Automatic Fracture Segmentation</title><author>Pettersson, J. ; Knutsson, H. ; Borga, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i212t-773ae671aabd688916ca6b200b91a9c567f22e7a39e0e9485a9f8a3c75647f993</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Anatomical structure</topic><topic>Anatomy</topic><topic>Biomedical image processing</topic><topic>Bones</topic><topic>Computer Tomography</topic><topic>Convolution</topic><topic>Filters</topic><topic>Hip</topic><topic>Image segmentation</topic><topic>MEDICIN</topic><topic>MEDICINE</topic><topic>Phase estimation</topic><topic>Prototypes</topic><topic>Registration</topic><topic>Segmentation</topic><topic>Surgery</topic><toplevel>online_resources</toplevel><creatorcontrib>Pettersson, J.</creatorcontrib><creatorcontrib>Knutsson, H.</creatorcontrib><creatorcontrib>Borga, M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>SwePub</collection><collection>SwePub Conference</collection><collection>SWEPUB Linköpings universitet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pettersson, J.</au><au>Knutsson, H.</au><au>Borga, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Non-Rigid Registration for Automatic Fracture Segmentation</atitle><btitle>2006 International Conference on Image Processing</btitle><stitle>ICIP</stitle><date>2006-10</date><risdate>2006</risdate><spage>1185</spage><epage>1188</epage><pages>1185-1188</pages><issn>1522-4880</issn><eissn>2381-8549</eissn><isbn>9781424404803</isbn><isbn>1424404800</isbn><isbn>1424404819</isbn><isbn>9781424404810</isbn><eisbn>9781424404810</eisbn><eisbn>1424404819</eisbn><abstract>Automatic segmentation of anatomical structures is often performed using model-based non-rigid registration methods. These algorithms work well when the images do not contain any large deviations from the normal anatomy. We have previously used such a method to generate patient specific models of hip bones for surgery simulation. The method that was used, the morphon method, registers two-or three-dimensional images using a multi-resolution deformation scheme. A prototype image is iteratively registered to a target image using quadrature filter phase difference to estimate the local displacement. The morphon method has in this work been extended to deal with automatic segmentation of fractured bones. Two features have been added. First, the method is modified such that multiple prototypes (in this case two) can be used. Second, normalised convolution is utilized for the displacement estimation, to guide the registration of the second prototype, based on the result of the registration of the first one.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.2006.312695</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1522-4880
ispartof 2006 International Conference on Image Processing, 2006, p.1185-1188
issn 1522-4880
2381-8549
language eng
recordid cdi_ieee_primary_4106747
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Anatomical structure
Anatomy
Biomedical image processing
Bones
Computer Tomography
Convolution
Filters
Hip
Image segmentation
MEDICIN
MEDICINE
Phase estimation
Prototypes
Registration
Segmentation
Surgery
title Non-Rigid Registration for Automatic Fracture Segmentation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T16%3A37%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-swepub_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Non-Rigid%20Registration%20for%20Automatic%20Fracture%20Segmentation&rft.btitle=2006%20International%20Conference%20on%20Image%20Processing&rft.au=Pettersson,%20J.&rft.date=2006-10&rft.spage=1185&rft.epage=1188&rft.pages=1185-1188&rft.issn=1522-4880&rft.eissn=2381-8549&rft.isbn=9781424404803&rft.isbn_list=1424404800&rft.isbn_list=1424404819&rft.isbn_list=9781424404810&rft_id=info:doi/10.1109/ICIP.2006.312695&rft_dat=%3Cswepub_6IE%3Eoai_DiVA_org_liu_34136%3C/swepub_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424404810&rft.eisbn_list=1424404819&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4106747&rfr_iscdi=true