Automatic volumetric measurement of lateral ventricles on magnetic resonance images with correction of partial volume effects
Purpose To propose a method for the quantification of lateral ventricle (LV) volumes on a single sequence of 3D magnetic resonance (MR) images. Materials and Methods This algorithm, following a preliminary fuzzy tissue classification step, is based on the development of mathematical morphology proce...
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| Veröffentlicht in: | Journal of magnetic resonance imaging 2002-01, Vol.15 (1), p.16-22 |
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| creator | Barra, Vincent Frenoux, Emmanuelle Boire, Jean-Yves |
| description | Purpose
To propose a method for the quantification of lateral ventricle (LV) volumes on a single sequence of 3D magnetic resonance (MR) images.
Materials and Methods
This algorithm, following a preliminary fuzzy tissue classification step, is based on the development of mathematical morphology processes allowing both the extraction of the LVs and the correction of partial volume effects on their boundaries. The procedure is fast and totally unsupervised. The method is tested on a phantom image, then applied to five patients diagnosed as potentially suffering from Alzheimer's disease, and finally applied on several MR acquisitions to show the genericness of the algorithm.
Results and Conclusion
This technique yielded both an accurate estimation of ventricular volumes intra‐ and intersubject with respect to published data and a relevant management of partial volume effects. Numerous clinical applications are now expected, from the study of schizophrenia to the longitudinal follow‐up of Alzheimer's patients. J. Magn. Reson. Imaging 2002;15:16–22. © 2002 Wiley‐Liss, Inc. |
| doi_str_mv | 10.1002/jmri.10032 |
| format | Article |
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To propose a method for the quantification of lateral ventricle (LV) volumes on a single sequence of 3D magnetic resonance (MR) images.
Materials and Methods
This algorithm, following a preliminary fuzzy tissue classification step, is based on the development of mathematical morphology processes allowing both the extraction of the LVs and the correction of partial volume effects on their boundaries. The procedure is fast and totally unsupervised. The method is tested on a phantom image, then applied to five patients diagnosed as potentially suffering from Alzheimer's disease, and finally applied on several MR acquisitions to show the genericness of the algorithm.
Results and Conclusion
This technique yielded both an accurate estimation of ventricular volumes intra‐ and intersubject with respect to published data and a relevant management of partial volume effects. Numerous clinical applications are now expected, from the study of schizophrenia to the longitudinal follow‐up of Alzheimer's patients. J. Magn. Reson. Imaging 2002;15:16–22. © 2002 Wiley‐Liss, Inc.</description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.10032</identifier><identifier>PMID: 11793452</identifier><language>eng</language><publisher>New York: John Wiley & Sons, Inc</publisher><subject>Aged ; Algorithms ; Alzheimer Disease - pathology ; Alzheimer's disease ; Computer Science ; data fusion ; Female ; Humans ; Image Processing, Computer-Assisted ; Imaging, Three-Dimensional ; lateral ventricle segmentation ; Lateral Ventricles - pathology ; Machine Learning ; magnetic resonance ; Magnetic Resonance Imaging - methods ; Male ; partial volume effects ; Phantoms, Imaging ; Signal and Image Processing</subject><ispartof>Journal of magnetic resonance imaging, 2002-01, Vol.15 (1), p.16-22</ispartof><rights>Copyright © 2002 Wiley‐Liss, Inc.</rights><rights>Copyright 2002 Wiley-Liss, Inc.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4332-3da2a8ca8c8730654d0e6befde1dd6978edc165472d71daac8a4021919570d663</citedby><cites>FETCH-LOGICAL-c4332-3da2a8ca8c8730654d0e6befde1dd6978edc165472d71daac8a4021919570d663</cites><orcidid>0000-0002-8975-222X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.10032$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.10032$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11793452$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://uca.hal.science/hal-01622440$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Barra, Vincent</creatorcontrib><creatorcontrib>Frenoux, Emmanuelle</creatorcontrib><creatorcontrib>Boire, Jean-Yves</creatorcontrib><title>Automatic volumetric measurement of lateral ventricles on magnetic resonance images with correction of partial volume effects</title><title>Journal of magnetic resonance imaging</title><addtitle>J. Magn. Reson. Imaging</addtitle><description>Purpose
To propose a method for the quantification of lateral ventricle (LV) volumes on a single sequence of 3D magnetic resonance (MR) images.
Materials and Methods
This algorithm, following a preliminary fuzzy tissue classification step, is based on the development of mathematical morphology processes allowing both the extraction of the LVs and the correction of partial volume effects on their boundaries. The procedure is fast and totally unsupervised. The method is tested on a phantom image, then applied to five patients diagnosed as potentially suffering from Alzheimer's disease, and finally applied on several MR acquisitions to show the genericness of the algorithm.
Results and Conclusion
This technique yielded both an accurate estimation of ventricular volumes intra‐ and intersubject with respect to published data and a relevant management of partial volume effects. Numerous clinical applications are now expected, from the study of schizophrenia to the longitudinal follow‐up of Alzheimer's patients. J. Magn. Reson. Imaging 2002;15:16–22. © 2002 Wiley‐Liss, Inc.</description><subject>Aged</subject><subject>Algorithms</subject><subject>Alzheimer Disease - pathology</subject><subject>Alzheimer's disease</subject><subject>Computer Science</subject><subject>data fusion</subject><subject>Female</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Imaging, Three-Dimensional</subject><subject>lateral ventricle segmentation</subject><subject>Lateral Ventricles - pathology</subject><subject>Machine Learning</subject><subject>magnetic resonance</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>partial volume effects</subject><subject>Phantoms, Imaging</subject><subject>Signal and Image Processing</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUtP3TAQRi3UCihlww9AXlWiUlo_kjhZXqHyqC606kMsLWNPwODEt7ZzKYv-9zrkQneVLHk8c-Yk0ofQASUfKCHs410f7FRxtoV2acVYwaqmfpVrUvGCNkTsoDcx3hFC2rasttEOpaLlZcV20Z_FmHyvktV47d3YQwq57EHFMUAPQ8K-w04lCMrhdX7nsYOI_YB7dTPAtBgg-kENGrDNvTx8sOkWax8C6GQzmRUrFZKdFE8fwdB1eRbfotedchH2N_ce-nny6cfxWbH8cnp-vFgWuuScFdwophqdTyM4qavSEKivoTNAjalb0YDRNLcFM4IapXSjSsJoS9tKEFPXfA8dzd5b5eQq5N8Mj9IrK88WSzn1CK0ZK0uyppl9N7Or4H-NEJPsbdTgnBrAj1EKytuGtDyD72dQBx9jgO7FTImcgpFTMPIpmAwfbqzjdQ_mH7pJIgN0Bh6sg8f_qOTni2_nz9Ji3rExwe-XHRXuZS24qOTV5ankl5wyJr7Lr_wv2pGpng</recordid><startdate>200201</startdate><enddate>200201</enddate><creator>Barra, Vincent</creator><creator>Frenoux, Emmanuelle</creator><creator>Boire, Jean-Yves</creator><general>John Wiley & Sons, Inc</general><general>Wiley-Blackwell</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-8975-222X</orcidid></search><sort><creationdate>200201</creationdate><title>Automatic volumetric measurement of lateral ventricles on magnetic resonance images with correction of partial volume effects</title><author>Barra, Vincent ; Frenoux, Emmanuelle ; Boire, Jean-Yves</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4332-3da2a8ca8c8730654d0e6befde1dd6978edc165472d71daac8a4021919570d663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Aged</topic><topic>Algorithms</topic><topic>Alzheimer Disease - pathology</topic><topic>Alzheimer's disease</topic><topic>Computer Science</topic><topic>data fusion</topic><topic>Female</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Imaging, Three-Dimensional</topic><topic>lateral ventricle segmentation</topic><topic>Lateral Ventricles - pathology</topic><topic>Machine Learning</topic><topic>magnetic resonance</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>partial volume effects</topic><topic>Phantoms, Imaging</topic><topic>Signal and Image Processing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barra, Vincent</creatorcontrib><creatorcontrib>Frenoux, Emmanuelle</creatorcontrib><creatorcontrib>Boire, Jean-Yves</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barra, Vincent</au><au>Frenoux, Emmanuelle</au><au>Boire, Jean-Yves</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic volumetric measurement of lateral ventricles on magnetic resonance images with correction of partial volume effects</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J. Magn. Reson. Imaging</addtitle><date>2002-01</date><risdate>2002</risdate><volume>15</volume><issue>1</issue><spage>16</spage><epage>22</epage><pages>16-22</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract>Purpose
To propose a method for the quantification of lateral ventricle (LV) volumes on a single sequence of 3D magnetic resonance (MR) images.
Materials and Methods
This algorithm, following a preliminary fuzzy tissue classification step, is based on the development of mathematical morphology processes allowing both the extraction of the LVs and the correction of partial volume effects on their boundaries. The procedure is fast and totally unsupervised. The method is tested on a phantom image, then applied to five patients diagnosed as potentially suffering from Alzheimer's disease, and finally applied on several MR acquisitions to show the genericness of the algorithm.
Results and Conclusion
This technique yielded both an accurate estimation of ventricular volumes intra‐ and intersubject with respect to published data and a relevant management of partial volume effects. Numerous clinical applications are now expected, from the study of schizophrenia to the longitudinal follow‐up of Alzheimer's patients. J. Magn. Reson. Imaging 2002;15:16–22. © 2002 Wiley‐Liss, Inc.</abstract><cop>New York</cop><pub>John Wiley & Sons, Inc</pub><pmid>11793452</pmid><doi>10.1002/jmri.10032</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-8975-222X</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of magnetic resonance imaging, 2002-01, Vol.15 (1), p.16-22 |
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| language | eng |
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| source | Wiley Free Content; MEDLINE; Wiley Online Library All Journals |
| subjects | Aged Algorithms Alzheimer Disease - pathology Alzheimer's disease Computer Science data fusion Female Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional lateral ventricle segmentation Lateral Ventricles - pathology Machine Learning magnetic resonance Magnetic Resonance Imaging - methods Male partial volume effects Phantoms, Imaging Signal and Image Processing |
| title | Automatic volumetric measurement of lateral ventricles on magnetic resonance images with correction of partial volume effects |
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