| Feasibility of geometric-intensity-based semi-automated delineation of the tentorium cerebelli from MRI scans. | |
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MedLine Citation:
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PMID: 19659568 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This paper describes a feasibility study of a method for delineating the tentorium cerebelli in magnetic resonance imaging (MRI) brain scans. The tentorium cerebelli is a thin sheet of dura matter covering the cerebellum and separating it from the posterior part of the temporal lobe and the occipital lobe of the cerebral hemispheres. Cortical structures such as the parahippocampal gyrus can be indistinguishable from tentorium in magnetized prepared rapid gradient echo and T1-weighted MRI scans. Similar intensities in these neighboring regions make it difficult to perform accurate cortical analysis in neuroimaging studies of schizophrenia and Alzheimer's disease. A semi-automated, geometric, intensity-based procedure for delineating the tentorium from a whole-brain scan is described. Initial and final curves are traced within the tentorium. A cost function, based on intensity and Euclidean distance, is computed between the two curves using the Fast Marching method. The initial curve is then evolved to the final curve based on the gradient of the computed costs, generating a series of intermediate curves. These curves are then used to generate a triangulated surface of the tentorium. For 3 scans, surfaces were found to be within 2 voxels from hand segmentations. |
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Authors:
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Neeraja Penumetcha; Suraj Kabadi; Bruno Jedynak; Charles Walcutt; Mokhtar H Gado; Lei Wang; J Tilak Ratnanather |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Journal of neuroimaging : official journal of the American Society of Neuroimaging Volume: 21 ISSN: 1552-6569 ISO Abbreviation: J Neuroimaging Publication Date: 2011 Apr |
Date Detail:
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Created Date: 2011-03-25 Completed Date: 2011-07-26 Revised Date: 2012-04-02 |
Medline Journal Info:
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Nlm Unique ID: 9102705 Medline TA: J Neuroimaging Country: United States |
Other Details:
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Languages: eng Pagination: e148-55 Citation Subset: IM |
Copyright Information:
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Copyright © 2009 by the American Society of Neuroimaging. |
Affiliation:
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Center for Imaging Science, Department of Applied Mathematics and Statistics, The Johns Hopkins University, Baltimore, MD 21218, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Cerebellum / anatomy & histology* Dura Mater / anatomy & histology* Feasibility Studies Humans Imaging, Three-Dimensional Magnetic Resonance Imaging / methods* Pattern Recognition, Automated |
| Grant Support | |
ID/Acronym/Agency:
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1P01 AG026276-01/AG/NIA NIH HHS; 2P01 AG003991-21/AG/NIA NIH HHS; 5P50 MH071616-03/MH/NIMH NIH HHS; P01 AG003991-21/AG/NIA NIH HHS; P01 AG026276-03/AG/NIA NIH HHS; P41 RR015241-06/RR/NCRR NIH HHS; P41 RR15241-01A1/RR/NCRR NIH HHS; P50 MH071616-03/MH/NIMH NIH HHS; R01 MH056584-09A1/MH/NIMH NIH HHS; R01 MH056584-13/MH/NIMH NIH HHS; R01 MH56584-04A1/MH/NIMH NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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