Multi-modality model-based registration in the cardiac domain
Recent advances in CT technology have made possible the acquisition of high resolution images of the heart in which important anatomical features such as the coronary vessels are visible. The state of the art in MR Imaging techniques, on the other hand, typically provides lower resolution but can fa...
Gespeichert in:
Hauptverfasser: | , , , , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 791 vol.2 |
---|---|
container_issue | |
container_start_page | 790 |
container_title | |
container_volume | 2 |
creator | O'Donnell, T. Aharon, S. Halliburton, S.S. Gupta, A. Funka-Lea, G. White, R.D. |
description | Recent advances in CT technology have made possible the acquisition of high resolution images of the heart in which important anatomical features such as the coronary vessels are visible. The state of the art in MR Imaging techniques, on the other hand, typically provides lower resolution but can facilitate the differentiation of viable (healthy) cardiac tissue from infarcted (injured) tissue. The registration of CT and MR images of the same heart permit the association of anatomy with function. As an example, given an infarcted region, the coronary vessels responsible for irrigating that region may be isolated and targeted for treatment (e.g., coronary bypass). We demonstrate a software package, PROTEUS, which is capable of registering CT and MR images. Since the manifestation of cardiac tissue in the two modalities differs so greatly we rely on features to perform the matching. Specifically, we employ a model-based approach that relies on segmented contours delineating the inner and outer borders of the left ventricle (LV). Given these contours, our technique is completely automatic. |
doi_str_mv | 10.1109/CVPR.2000.854960 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>proquest_6IE</sourceid><recordid>TN_cdi_ieee_primary_854960</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>854960</ieee_id><sourcerecordid>27595691</sourcerecordid><originalsourceid>FETCH-LOGICAL-i203t-a46752fc014680a8f3d1a9301e94bafc6278b7830aa04888622a81ea2011a9023</originalsourceid><addsrcrecordid>eNpNkD1LxEAQhhc_wONML1ap7BJnd5P9KCwkeCqcKKK2YZJMdCUfZ3ZT3L83cBZWM_A878C8jF1wSDkHe118vLymAgBSk2dWwRFbcVAyUZbbYxZZbUArm4NSQp78Y2cs8v57ycHCbK5X7OZp7oJL-rHBzoV9vCzUJRV6auKJPp0PEwY3DrEb4vBFcY1T47COm7FHN5yz0xY7T9HfXLP3zd1b8ZBsn-8fi9tt4gTIkGCmdC7aGnimDKBpZcPRSuBkswrbWgltKm0kIEJmjFFCoOGEAvjigZBrdnW4u5vGn5l8KHvna-o6HGicfSl0bvPlwUW8PIiOiMrd5Hqc9uWhJPkLBJ9W9g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>27595691</pqid></control><display><type>conference_proceeding</type><title>Multi-modality model-based registration in the cardiac domain</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>O'Donnell, T. ; Aharon, S. ; Halliburton, S.S. ; Gupta, A. ; Funka-Lea, G. ; White, R.D.</creator><creatorcontrib>O'Donnell, T. ; Aharon, S. ; Halliburton, S.S. ; Gupta, A. ; Funka-Lea, G. ; White, R.D.</creatorcontrib><description>Recent advances in CT technology have made possible the acquisition of high resolution images of the heart in which important anatomical features such as the coronary vessels are visible. The state of the art in MR Imaging techniques, on the other hand, typically provides lower resolution but can facilitate the differentiation of viable (healthy) cardiac tissue from infarcted (injured) tissue. The registration of CT and MR images of the same heart permit the association of anatomy with function. As an example, given an infarcted region, the coronary vessels responsible for irrigating that region may be isolated and targeted for treatment (e.g., coronary bypass). We demonstrate a software package, PROTEUS, which is capable of registering CT and MR images. Since the manifestation of cardiac tissue in the two modalities differs so greatly we rely on features to perform the matching. Specifically, we employ a model-based approach that relies on segmented contours delineating the inner and outer borders of the left ventricle (LV). Given these contours, our technique is completely automatic.</description><identifier>ISSN: 1063-6919</identifier><identifier>ISBN: 9780769506623</identifier><identifier>ISBN: 0769506623</identifier><identifier>EISSN: 1063-6919</identifier><identifier>DOI: 10.1109/CVPR.2000.854960</identifier><language>eng</language><publisher>IEEE</publisher><subject>Blood ; Cardiac tissue ; Computed tomography ; Heart ; High-resolution imaging ; Image resolution ; Radiology ; Shape ; Surface fitting ; Visualization</subject><ispartof>PROC IEEE COMPUT SOC CONF COMPUT VISION PATTERN RECOGNIT, 2000, Vol.2, p.790-791 vol.2</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/854960$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/854960$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>O'Donnell, T.</creatorcontrib><creatorcontrib>Aharon, S.</creatorcontrib><creatorcontrib>Halliburton, S.S.</creatorcontrib><creatorcontrib>Gupta, A.</creatorcontrib><creatorcontrib>Funka-Lea, G.</creatorcontrib><creatorcontrib>White, R.D.</creatorcontrib><title>Multi-modality model-based registration in the cardiac domain</title><title>PROC IEEE COMPUT SOC CONF COMPUT VISION PATTERN RECOGNIT</title><addtitle>CVPR</addtitle><description>Recent advances in CT technology have made possible the acquisition of high resolution images of the heart in which important anatomical features such as the coronary vessels are visible. The state of the art in MR Imaging techniques, on the other hand, typically provides lower resolution but can facilitate the differentiation of viable (healthy) cardiac tissue from infarcted (injured) tissue. The registration of CT and MR images of the same heart permit the association of anatomy with function. As an example, given an infarcted region, the coronary vessels responsible for irrigating that region may be isolated and targeted for treatment (e.g., coronary bypass). We demonstrate a software package, PROTEUS, which is capable of registering CT and MR images. Since the manifestation of cardiac tissue in the two modalities differs so greatly we rely on features to perform the matching. Specifically, we employ a model-based approach that relies on segmented contours delineating the inner and outer borders of the left ventricle (LV). Given these contours, our technique is completely automatic.</description><subject>Blood</subject><subject>Cardiac tissue</subject><subject>Computed tomography</subject><subject>Heart</subject><subject>High-resolution imaging</subject><subject>Image resolution</subject><subject>Radiology</subject><subject>Shape</subject><subject>Surface fitting</subject><subject>Visualization</subject><issn>1063-6919</issn><issn>1063-6919</issn><isbn>9780769506623</isbn><isbn>0769506623</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNkD1LxEAQhhc_wONML1ap7BJnd5P9KCwkeCqcKKK2YZJMdCUfZ3ZT3L83cBZWM_A878C8jF1wSDkHe118vLymAgBSk2dWwRFbcVAyUZbbYxZZbUArm4NSQp78Y2cs8v57ycHCbK5X7OZp7oJL-rHBzoV9vCzUJRV6auKJPp0PEwY3DrEb4vBFcY1T47COm7FHN5yz0xY7T9HfXLP3zd1b8ZBsn-8fi9tt4gTIkGCmdC7aGnimDKBpZcPRSuBkswrbWgltKm0kIEJmjFFCoOGEAvjigZBrdnW4u5vGn5l8KHvna-o6HGicfSl0bvPlwUW8PIiOiMrd5Hqc9uWhJPkLBJ9W9g</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>O'Donnell, T.</creator><creator>Aharon, S.</creator><creator>Halliburton, S.S.</creator><creator>Gupta, A.</creator><creator>Funka-Lea, G.</creator><creator>White, R.D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>2000</creationdate><title>Multi-modality model-based registration in the cardiac domain</title><author>O'Donnell, T. ; Aharon, S. ; Halliburton, S.S. ; Gupta, A. ; Funka-Lea, G. ; White, R.D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-a46752fc014680a8f3d1a9301e94bafc6278b7830aa04888622a81ea2011a9023</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Blood</topic><topic>Cardiac tissue</topic><topic>Computed tomography</topic><topic>Heart</topic><topic>High-resolution imaging</topic><topic>Image resolution</topic><topic>Radiology</topic><topic>Shape</topic><topic>Surface fitting</topic><topic>Visualization</topic><toplevel>online_resources</toplevel><creatorcontrib>O'Donnell, T.</creatorcontrib><creatorcontrib>Aharon, S.</creatorcontrib><creatorcontrib>Halliburton, S.S.</creatorcontrib><creatorcontrib>Gupta, A.</creatorcontrib><creatorcontrib>Funka-Lea, G.</creatorcontrib><creatorcontrib>White, R.D.</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>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>O'Donnell, T.</au><au>Aharon, S.</au><au>Halliburton, S.S.</au><au>Gupta, A.</au><au>Funka-Lea, G.</au><au>White, R.D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multi-modality model-based registration in the cardiac domain</atitle><btitle>PROC IEEE COMPUT SOC CONF COMPUT VISION PATTERN RECOGNIT</btitle><stitle>CVPR</stitle><date>2000</date><risdate>2000</risdate><volume>2</volume><spage>790</spage><epage>791 vol.2</epage><pages>790-791 vol.2</pages><issn>1063-6919</issn><eissn>1063-6919</eissn><isbn>9780769506623</isbn><isbn>0769506623</isbn><abstract>Recent advances in CT technology have made possible the acquisition of high resolution images of the heart in which important anatomical features such as the coronary vessels are visible. The state of the art in MR Imaging techniques, on the other hand, typically provides lower resolution but can facilitate the differentiation of viable (healthy) cardiac tissue from infarcted (injured) tissue. The registration of CT and MR images of the same heart permit the association of anatomy with function. As an example, given an infarcted region, the coronary vessels responsible for irrigating that region may be isolated and targeted for treatment (e.g., coronary bypass). We demonstrate a software package, PROTEUS, which is capable of registering CT and MR images. Since the manifestation of cardiac tissue in the two modalities differs so greatly we rely on features to perform the matching. Specifically, we employ a model-based approach that relies on segmented contours delineating the inner and outer borders of the left ventricle (LV). Given these contours, our technique is completely automatic.</abstract><pub>IEEE</pub><doi>10.1109/CVPR.2000.854960</doi><tpages>2</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1063-6919 |
ispartof | PROC IEEE COMPUT SOC CONF COMPUT VISION PATTERN RECOGNIT, 2000, Vol.2, p.790-791 vol.2 |
issn | 1063-6919 1063-6919 |
language | eng |
recordid | cdi_ieee_primary_854960 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Blood Cardiac tissue Computed tomography Heart High-resolution imaging Image resolution Radiology Shape Surface fitting Visualization |
title | Multi-modality model-based registration in the cardiac domain |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T22%3A15%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Multi-modality%20model-based%20registration%20in%20the%20cardiac%20domain&rft.btitle=PROC%20IEEE%20COMPUT%20SOC%20CONF%20COMPUT%20VISION%20PATTERN%20RECOGNIT&rft.au=O'Donnell,%20T.&rft.date=2000&rft.volume=2&rft.spage=790&rft.epage=791%20vol.2&rft.pages=790-791%20vol.2&rft.issn=1063-6919&rft.eissn=1063-6919&rft.isbn=9780769506623&rft.isbn_list=0769506623&rft_id=info:doi/10.1109/CVPR.2000.854960&rft_dat=%3Cproquest_6IE%3E27595691%3C/proquest_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=27595691&rft_id=info:pmid/&rft_ieee_id=854960&rfr_iscdi=true |