Assessment of ventricle volume from serial MRI scans in communicating hydrocephalus
Postoperative communicating hydrocephalus has been recognized in patients with brain tumors. The associated changes in ventricle volume can be difficult to identify, particularly over short time intervals. Potentially, accurate ventricle volume estimates could provide for a better understanding of c...
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| creator | Butman, J.A. Linguraru, M.G. |
| description | Postoperative communicating hydrocephalus has been recognized in patients with brain tumors. The associated changes in ventricle volume can be difficult to identify, particularly over short time intervals. Potentially, accurate ventricle volume estimates could provide for a better understanding of communicating hydrocephalus, and lead to more confident diagnoses. Our method evaluates ventricle size from serial brain MRI examinations, we (1) combined serial images to increase SNR (2) segmented this image to generate a ventricle template using fats marching methods and geodesic active contours, and (3) propagate the segmentation using deformable registration of the original MRI datasets. By applying this deformation to the ventricle template, serial volume estimates were obtained in a robust manner. |
| doi_str_mv | 10.1109/ISBI.2008.4540929 |
| format | Conference Proceeding |
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The associated changes in ventricle volume can be difficult to identify, particularly over short time intervals. Potentially, accurate ventricle volume estimates could provide for a better understanding of communicating hydrocephalus, and lead to more confident diagnoses. Our method evaluates ventricle size from serial brain MRI examinations, we (1) combined serial images to increase SNR (2) segmented this image to generate a ventricle template using fats marching methods and geodesic active contours, and (3) propagate the segmentation using deformable registration of the original MRI datasets. 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The associated changes in ventricle volume can be difficult to identify, particularly over short time intervals. Potentially, accurate ventricle volume estimates could provide for a better understanding of communicating hydrocephalus, and lead to more confident diagnoses. Our method evaluates ventricle size from serial brain MRI examinations, we (1) combined serial images to increase SNR (2) segmented this image to generate a ventricle template using fats marching methods and geodesic active contours, and (3) propagate the segmentation using deformable registration of the original MRI datasets. By applying this deformation to the ventricle template, serial volume estimates were obtained in a robust manner.</description><subject>Active contours</subject><subject>Brain</subject><subject>Brain imaging</subject><subject>brain tumor</subject><subject>High-resolution imaging</subject><subject>hydrocephalus</subject><subject>Image generation</subject><subject>Image segmentation</subject><subject>Level set</subject><subject>Magnetic resonance imaging</subject><subject>monitoring</subject><subject>MRI</subject><subject>Neoplasms</subject><subject>Patient monitoring</subject><subject>registration</subject><subject>segmentation</subject><subject>Signal to noise ratio</subject><issn>1945-7928</issn><issn>1945-8452</issn><isbn>9781424420025</isbn><isbn>1424420024</isbn><isbn>1424420032</isbn><isbn>9781424420032</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kMtqAjEYhdOLULU-QOkmLzA29z9ZWullwFKo7Vpi_FNT5iITFXz7DtSezQfng7M4hNxxNuWcuYdy-VhOBWN2qrRiTrgLMuJKKNV3UlySIXdKF1ZpcUUmDuy_E_r67MAJOyCjvgPHGdfqhkxy_mF9QCnJ1JAsZzljzjU2e9pGeuzZpVAhPbbVoUYau7amGbvkK_r2UdIcfJNpamho6_rQpOD3qfmm29OmawPutr465FsyiL7KODlzTL6enz7nr8Xi_aWczxZFEtzuiwhcR2dA-vU6Mh8MGgHWqChQOhZDsGZtgkcICBsuFQQHwQAIoZXTAuSY3P_tJkRc7bpU--60Op8lfwEB9FeQ</recordid><startdate>20080101</startdate><enddate>20080101</enddate><creator>Butman, J.A.</creator><creator>Linguraru, M.G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20080101</creationdate><title>Assessment of ventricle volume from serial MRI scans in communicating hydrocephalus</title><author>Butman, J.A. ; Linguraru, M.G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i218t-f715f9673abbf0ac6e627864f2e390fcc86b6cae7ce7d1347c97c677225495273</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Active contours</topic><topic>Brain</topic><topic>Brain imaging</topic><topic>brain tumor</topic><topic>High-resolution imaging</topic><topic>hydrocephalus</topic><topic>Image generation</topic><topic>Image segmentation</topic><topic>Level set</topic><topic>Magnetic resonance imaging</topic><topic>monitoring</topic><topic>MRI</topic><topic>Neoplasms</topic><topic>Patient monitoring</topic><topic>registration</topic><topic>segmentation</topic><topic>Signal to noise ratio</topic><toplevel>online_resources</toplevel><creatorcontrib>Butman, J.A.</creatorcontrib><creatorcontrib>Linguraru, M.G.</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>Butman, J.A.</au><au>Linguraru, M.G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Assessment of ventricle volume from serial MRI scans in communicating hydrocephalus</atitle><btitle>2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro</btitle><stitle>ISBI</stitle><date>2008-01-01</date><risdate>2008</risdate><spage>49</spage><epage>52</epage><pages>49-52</pages><issn>1945-7928</issn><eissn>1945-8452</eissn><isbn>9781424420025</isbn><isbn>1424420024</isbn><eisbn>1424420032</eisbn><eisbn>9781424420032</eisbn><abstract>Postoperative communicating hydrocephalus has been recognized in patients with brain tumors. The associated changes in ventricle volume can be difficult to identify, particularly over short time intervals. Potentially, accurate ventricle volume estimates could provide for a better understanding of communicating hydrocephalus, and lead to more confident diagnoses. Our method evaluates ventricle size from serial brain MRI examinations, we (1) combined serial images to increase SNR (2) segmented this image to generate a ventricle template using fats marching methods and geodesic active contours, and (3) propagate the segmentation using deformable registration of the original MRI datasets. By applying this deformation to the ventricle template, serial volume estimates were obtained in a robust manner.</abstract><pub>IEEE</pub><doi>10.1109/ISBI.2008.4540929</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1945-7928 |
| ispartof | 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008, p.49-52 |
| issn | 1945-7928 1945-8452 |
| language | eng |
| recordid | cdi_ieee_primary_4540929 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Active contours Brain Brain imaging brain tumor High-resolution imaging hydrocephalus Image generation Image segmentation Level set Magnetic resonance imaging monitoring MRI Neoplasms Patient monitoring registration segmentation Signal to noise ratio |
| title | Assessment of ventricle volume from serial MRI scans in communicating hydrocephalus |
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