Automated segmentation of MR imaging to determine normative central nervous system cerebrospinal fluid volumes in healthy volunteers
Abstract An accurate non-invasive method to determine total body cerebrospinal fluid volume has a number of potential diagnostic and therapeutic applications. Herein we describe a technique for automated segmentation of total body MRI data to determine cranial and spinal CSF volume in 15 healthy adu...
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| Veröffentlicht in: | Clinical imaging 2017-05, Vol.43, p.132-135 |
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| container_title | Clinical imaging |
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| creator | Levi Chazen, J Dyke, Jonathan P Holt, Robert W Horky, Laura Pauplis, Rachel A Hesterman, Jacob Y David Mozley, P Verma, Ajay |
| description | Abstract An accurate non-invasive method to determine total body cerebrospinal fluid volume has a number of potential diagnostic and therapeutic applications. Herein we describe a technique for automated segmentation of total body MRI data to determine cranial and spinal CSF volume in 15 healthy adults. These in vivo estimates of CSF volume exceed the standard reported volume of 150 mL in human adults and provide normative data for diagnosis of disease states such as hydrocephalus and therapy including pharmacologic dosimetry. No correlation was observed between patient height or weight and total body CSF volume. |
| doi_str_mv | 10.1016/j.clinimag.2017.02.007 |
| format | Article |
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Herein we describe a technique for automated segmentation of total body MRI data to determine cranial and spinal CSF volume in 15 healthy adults. These in vivo estimates of CSF volume exceed the standard reported volume of 150 mL in human adults and provide normative data for diagnosis of disease states such as hydrocephalus and therapy including pharmacologic dosimetry. No correlation was observed between patient height or weight and total body CSF volume.</description><identifier>ISSN: 0899-7071</identifier><identifier>EISSN: 1873-4499</identifier><identifier>DOI: 10.1016/j.clinimag.2017.02.007</identifier><identifier>PMID: 28314198</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Accuracy ; Adult ; Adults ; Automation ; Blood-brain barrier ; Brain ; Central nervous system ; Central Nervous System - diagnostic imaging ; Central Nervous System - pathology ; Cerebrospinal fluid ; Cerebrospinal Fluid - diagnostic imaging ; CSF ; Diagnostic software ; Diagnostic systems ; Dosimeters ; Dosimetry ; Family medical history ; Feasibility studies ; Female ; Health sciences ; Healthy Volunteers ; Humans ; Hydrocephalus ; Hydrocephalus - cerebrospinal fluid ; Hydrocephalus - diagnosis ; Image processing ; Image Processing, Computer-Assisted - methods ; Image segmentation ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medical imaging ; Middle Aged ; Nervous system ; Pharmacology ; Physiology ; Radiology ; Reference Values ; Skull ; Spinal cord ; Statistical analysis ; Therapeutic applications ; Young Adult</subject><ispartof>Clinical imaging, 2017-05, Vol.43, p.132-135</ispartof><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c451t-90b86f7a0968bd55c3507a72f441911aad1e28c365a8bb9312cd05e892f887003</citedby><cites>FETCH-LOGICAL-c451t-90b86f7a0968bd55c3507a72f441911aad1e28c365a8bb9312cd05e892f887003</cites><orcidid>0000-0002-6146-2191</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.clinimag.2017.02.007$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28314198$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Levi Chazen, J</creatorcontrib><creatorcontrib>Dyke, Jonathan P</creatorcontrib><creatorcontrib>Holt, Robert W</creatorcontrib><creatorcontrib>Horky, Laura</creatorcontrib><creatorcontrib>Pauplis, Rachel A</creatorcontrib><creatorcontrib>Hesterman, Jacob Y</creatorcontrib><creatorcontrib>David Mozley, P</creatorcontrib><creatorcontrib>Verma, Ajay</creatorcontrib><title>Automated segmentation of MR imaging to determine normative central nervous system cerebrospinal fluid volumes in healthy volunteers</title><title>Clinical imaging</title><addtitle>Clin Imaging</addtitle><description>Abstract An accurate non-invasive method to determine total body cerebrospinal fluid volume has a number of potential diagnostic and therapeutic applications. Herein we describe a technique for automated segmentation of total body MRI data to determine cranial and spinal CSF volume in 15 healthy adults. These in vivo estimates of CSF volume exceed the standard reported volume of 150 mL in human adults and provide normative data for diagnosis of disease states such as hydrocephalus and therapy including pharmacologic dosimetry. No correlation was observed between patient height or weight and total body CSF volume.</description><subject>Accuracy</subject><subject>Adult</subject><subject>Adults</subject><subject>Automation</subject><subject>Blood-brain barrier</subject><subject>Brain</subject><subject>Central nervous system</subject><subject>Central Nervous System - diagnostic imaging</subject><subject>Central Nervous System - pathology</subject><subject>Cerebrospinal fluid</subject><subject>Cerebrospinal Fluid - diagnostic imaging</subject><subject>CSF</subject><subject>Diagnostic software</subject><subject>Diagnostic systems</subject><subject>Dosimeters</subject><subject>Dosimetry</subject><subject>Family medical history</subject><subject>Feasibility studies</subject><subject>Female</subject><subject>Health sciences</subject><subject>Healthy Volunteers</subject><subject>Humans</subject><subject>Hydrocephalus</subject><subject>Hydrocephalus - cerebrospinal fluid</subject><subject>Hydrocephalus - diagnosis</subject><subject>Image processing</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Image segmentation</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>Nervous system</subject><subject>Pharmacology</subject><subject>Physiology</subject><subject>Radiology</subject><subject>Reference Values</subject><subject>Skull</subject><subject>Spinal cord</subject><subject>Statistical analysis</subject><subject>Therapeutic applications</subject><subject>Young Adult</subject><issn>0899-7071</issn><issn>1873-4499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkktv1DAUhS0EokPhL1SW2LBJ8COJ7Q2iqnhJRUg81pbj3Ew9JPZgOyPNnh-O02lB6oaVpevvXPvccxG6oKSmhHavd7WdnHez2daMUFETVhMiHqENlYJXTaPUY7QhUqlKEEHP0LOUdqQIVSOeojMmOW2okhv0-3LJYTYZBpxgO4PPJrvgcRjx56947e_8FueAB8gQZ-cB-xCLwB0A24JHM2EP8RCWhNMxZZhLOUIfQ9o7Xy7HaXEDPoRpmSFh5_ENmCnfHG9LPgPE9Bw9Gc2U4MXdeY5-vH_3_epjdf3lw6ery-vKNi3NlSK97EZhiOpkP7St5S0RRrCxKV4oNWagwKTlXWtk3ytOmR1IC1KxUUpBCD9Hr0599zH8WiBlPbtkYZqMh_J_XWYnJaNUiIK-fIDuwhKLn5VSTMiGs6ZQ3YmyxW6KMOp9LDOLR02JXnPSO32fk15z0oTpklMRXty1X_oZhr-y-2AK8PYEQJnHwUHUyTrwFgYXwWY9BPf_N948aHGLWTP9hCOkf350KgL9bd2WdVmo4GVWjPM_F0G-Tw</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Levi Chazen, J</creator><creator>Dyke, Jonathan P</creator><creator>Holt, Robert W</creator><creator>Horky, Laura</creator><creator>Pauplis, Rachel A</creator><creator>Hesterman, Jacob Y</creator><creator>David Mozley, P</creator><creator>Verma, Ajay</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><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>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7Z</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6146-2191</orcidid></search><sort><creationdate>20170501</creationdate><title>Automated segmentation of MR imaging to determine normative central nervous system cerebrospinal fluid volumes in healthy volunteers</title><author>Levi Chazen, J ; 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| subjects | Accuracy Adult Adults Automation Blood-brain barrier Brain Central nervous system Central Nervous System - diagnostic imaging Central Nervous System - pathology Cerebrospinal fluid Cerebrospinal Fluid - diagnostic imaging CSF Diagnostic software Diagnostic systems Dosimeters Dosimetry Family medical history Feasibility studies Female Health sciences Healthy Volunteers Humans Hydrocephalus Hydrocephalus - cerebrospinal fluid Hydrocephalus - diagnosis Image processing Image Processing, Computer-Assisted - methods Image segmentation Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Middle Aged Nervous system Pharmacology Physiology Radiology Reference Values Skull Spinal cord Statistical analysis Therapeutic applications Young Adult |
| title | Automated segmentation of MR imaging to determine normative central nervous system cerebrospinal fluid volumes in healthy volunteers |
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