Segmentation of the fetal envelope on ante-natal MRI
Recent improvements in MRI scanners have enabled the acquisition of spatially consistent 3D images of the fetus. While recent works focused on the fetal brain segmentation, important outcome could be obtained from the segmentation of the whole fetal body envelope, such as accurate fetal weight estim...
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| creator | Anquez, Jérémie Bibin, Lazar Angelini, Elsa D Bloch, Isabelle |
| description | Recent improvements in MRI scanners have enabled the acquisition of spatially consistent 3D images of the fetus. While recent works focused on the fetal brain segmentation, important outcome could be obtained from the segmentation of the whole fetal body envelope, such as accurate fetal weight estimation. In this paper, we propose to segment this envelope using a semi-automatic approach. MRI images were acquired using the Steady State Free Precession sequence. Taking advantage of the T2-weighting of this sequence, a set of fetal structures is identified and a simplified model of the fetal skeleton is instantiated in the images. An articulated model of a generic fetus is then registered in the images to initialize the fetal envelope segmentation and optimized using graph-cuts to refine the segmentation. Promising and robust results were obtained on a set of nine volumes. |
| doi_str_mv | 10.1109/ISBI.2010.5490131 |
| format | Conference Proceeding |
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While recent works focused on the fetal brain segmentation, important outcome could be obtained from the segmentation of the whole fetal body envelope, such as accurate fetal weight estimation. In this paper, we propose to segment this envelope using a semi-automatic approach. MRI images were acquired using the Steady State Free Precession sequence. Taking advantage of the T2-weighting of this sequence, a set of fetal structures is identified and a simplified model of the fetal skeleton is instantiated in the images. An articulated model of a generic fetus is then registered in the images to initialize the fetal envelope segmentation and optimized using graph-cuts to refine the segmentation. 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While recent works focused on the fetal brain segmentation, important outcome could be obtained from the segmentation of the whole fetal body envelope, such as accurate fetal weight estimation. In this paper, we propose to segment this envelope using a semi-automatic approach. MRI images were acquired using the Steady State Free Precession sequence. Taking advantage of the T2-weighting of this sequence, a set of fetal structures is identified and a simplified model of the fetal skeleton is instantiated in the images. An articulated model of a generic fetus is then registered in the images to initialize the fetal envelope segmentation and optimized using graph-cuts to refine the segmentation. Promising and robust results were obtained on a set of nine volumes.</description><subject>Anatomical structure</subject><subject>Ante-natal imaging</subject><subject>Bones</subject><subject>Fetus</subject><subject>fetus segmentation</subject><subject>Image quality</subject><subject>Image segmentation</subject><subject>Magnetic resonance imaging</subject><subject>MRI</subject><subject>Robustness</subject><subject>Skeleton</subject><subject>Steady-state</subject><subject>Telecommunications</subject><issn>1945-7928</issn><issn>1945-8452</issn><isbn>9781424441259</isbn><isbn>1424441250</isbn><isbn>9781424441266</isbn><isbn>1424441269</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkN1KxDAQheMfuKx9APGmL9A1k0yazKUurhZWBFevl7ROtNJtl20QfHsj9sa5GeZ8w4FzhLgEuQCQdF1tbquFkuk0SBI0HImMrANUiAiqLI_FDAhN4dCok3_M0OnELCl3LrJx_JRp0iMaOxO44fcd99HHdujzIeTxg_PA0Xc591_cDXvOE_B95KL3v_Ljc3UhzoLvRs6mPRevq7uX5UOxfrqvljfrogVrYhGgcYGASrRSoypRk9KE3lKgBhtIgZC4rJXjt1oawtpbxgClcpQUp-fi6s-3Zebt_tDu_OF7O3WgfwDZhUix</recordid><startdate>201004</startdate><enddate>201004</enddate><creator>Anquez, Jérémie</creator><creator>Bibin, Lazar</creator><creator>Angelini, Elsa D</creator><creator>Bloch, Isabelle</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201004</creationdate><title>Segmentation of the fetal envelope on ante-natal MRI</title><author>Anquez, Jérémie ; Bibin, Lazar ; Angelini, Elsa D ; Bloch, Isabelle</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-f1c8f919647034264392394a79f9c4c101049e6b28edb0594ba7e4f16289edb83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Anatomical structure</topic><topic>Ante-natal imaging</topic><topic>Bones</topic><topic>Fetus</topic><topic>fetus segmentation</topic><topic>Image quality</topic><topic>Image segmentation</topic><topic>Magnetic resonance imaging</topic><topic>MRI</topic><topic>Robustness</topic><topic>Skeleton</topic><topic>Steady-state</topic><topic>Telecommunications</topic><toplevel>online_resources</toplevel><creatorcontrib>Anquez, Jérémie</creatorcontrib><creatorcontrib>Bibin, Lazar</creatorcontrib><creatorcontrib>Angelini, Elsa D</creatorcontrib><creatorcontrib>Bloch, Isabelle</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>Anquez, Jérémie</au><au>Bibin, Lazar</au><au>Angelini, Elsa D</au><au>Bloch, Isabelle</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Segmentation of the fetal envelope on ante-natal MRI</atitle><btitle>2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro</btitle><stitle>ISBI</stitle><date>2010-04</date><risdate>2010</risdate><spage>896</spage><epage>899</epage><pages>896-899</pages><issn>1945-7928</issn><eissn>1945-8452</eissn><isbn>9781424441259</isbn><isbn>1424441250</isbn><eisbn>9781424441266</eisbn><eisbn>1424441269</eisbn><abstract>Recent improvements in MRI scanners have enabled the acquisition of spatially consistent 3D images of the fetus. While recent works focused on the fetal brain segmentation, important outcome could be obtained from the segmentation of the whole fetal body envelope, such as accurate fetal weight estimation. In this paper, we propose to segment this envelope using a semi-automatic approach. MRI images were acquired using the Steady State Free Precession sequence. Taking advantage of the T2-weighting of this sequence, a set of fetal structures is identified and a simplified model of the fetal skeleton is instantiated in the images. An articulated model of a generic fetus is then registered in the images to initialize the fetal envelope segmentation and optimized using graph-cuts to refine the segmentation. Promising and robust results were obtained on a set of nine volumes.</abstract><pub>IEEE</pub><doi>10.1109/ISBI.2010.5490131</doi><tpages>4</tpages></addata></record> |
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| identifier | ISSN: 1945-7928 |
| ispartof | 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010, p.896-899 |
| issn | 1945-7928 1945-8452 |
| language | eng |
| recordid | cdi_ieee_primary_5490131 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Anatomical structure Ante-natal imaging Bones Fetus fetus segmentation Image quality Image segmentation Magnetic resonance imaging MRI Robustness Skeleton Steady-state Telecommunications |
| title | Segmentation of the fetal envelope on ante-natal MRI |
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