| Hyperpolarized (3)He Magnetic Resonance Functional Imaging Semiautomated Segmentation. | |
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MedLine Citation:
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PMID: 22104288 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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RATIONALE AND OBJECTIVES: To improve intra- and interobserver variability and enable the use of functional magnetic resonance imaging (MRI) for multicenter, multiobserver studies, we generated a semiautomated segmentation method for hyperpolarized helium-3 ((3)He) MRI. Therefore the objective of this study was to compare the reproducibility and spatial agreement of manual and semiautomated segmentation of (3)He MRI ventilation defect volume (VDV) and ventilation volume (VV) in subjects with asthma, chronic obstructive pulmonary disease (COPD), and cystic fibrosis (CF). MATERIALS AND METHODS: The multistep semiautomated segmentation method we developed employed hierarchical K-means clustering to classify (3)He MRI pixel intensity values into five user-determined clusters ranging from signal void to hyperintense. A seeded region-growing algorithm was also used to segment the (1)H MRI thoracic cavity for coregistration to the (3)He cluster-map, generating VDV and VV. RESULTS: We compared manual segmentation performed by an expert observer and semiautomated measurements of (3)He MRI VDV and observed strong significant correlations between the volumes generated using each method (asthma, n = 5, r = 0.89, P < .0001; COPD, n = 5, r = 0.84, P < .0001; CF, n = 5, r = 0.89, P < .0001). Semiautomated VDV had high interobserver reproducibility (coefficient of variation [CV] = 7%, intraclass correlation coefficient [ICC] = 0.96); intraobserver reproducibility was significantly higher for semiautomated (CV = 5%, ICC = 1.00) compared to manual VDV (CV = 12%, ICC = 0.98). Spatial agreement for VV determined using the Dice coefficient (D) was also high for all disease states (asthma, D = 0.95; COPD, D = 0.88; CF, D = 0.90). CONCLUSIONS: Semiautomated segmentation (3)He MRI provides excellent inter- and intraobserver precision with high spatial and quantitative agreement with manual measurements enabling its use in longitudinal studies. |
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Authors:
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Miranda Kirby; Mohammadreza Heydarian; Sarah Svenningsen; Andrew Wheatley; David G McCormack; Roya Etemad-Rezai; Grace Parraga |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-11-19 |
Journal Detail:
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Title: Academic radiology Volume: - ISSN: 1878-4046 ISO Abbreviation: - Publication Date: 2011 Nov |
Date Detail:
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Created Date: 2011-11-22 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9440159 Medline TA: Acad Radiol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 AUR. Published by Elsevier Inc. All rights reserved. |
Affiliation:
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Imaging Research Laboratories, Robarts Research Institute, 100 Perth Drive, London, Canada N6A 5K8; Department of Medical Biophysics, The University of Western Ontario, London, Canada. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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