Automatic Morphometry of Normal Cerebral Ventricular Dimensions from MRI
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Accession number;06A0105394
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| Title;Automatic Morphometry of Normal Cerebral Ventricular Dimensions from MRI |
| Author;
AZIZ AAMER
(Agency For Sci. Technol. And Res., Singapore)
MORIKAWA MINORU
(Nagasaki Univ. School Of Medicine, Nagasaki, Jpn)
HU QINGMAO
(Agency For Sci. Technol. And Res., Singapore)
SU HUANG
(Agency For Sci. Technol. And Res., Singapore)
HAYASHI KUNIAKI
(Nagasaki Univ. School Of Medicine, Nagasaki, Jpn)
NOWINSKI WIESLAW L.
(Agency For Sci. Technol. And Res., Singapore)
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Journal Title;Acta Med Nagasaki Ensia
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Journal Code:X0952A
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ISSN:0001-6055
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VOL.50;NO.3;PAGE.107-112(2005)
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| Figure&Table&Reference;FIG.6, TBL.4, REF.21 |
| Pub. Country;Japan |
| Language;English |
| Abstract;The volume, shape and size of cerebral ventricular system may change due to various pathologies directly or indirectly. Estimation of size of cerebral ventricles is important for evaluating changes due to growth, aging, intrinsic and extrinsic pathologies. Quantification using ex vivo techniques has considerable errors. In vivo studies using air or contrast media also introduce volumetric changes in the ventricles. Imaging of ventricular anatomy avoids these problems and allows repetitive studies following progression of ventricular system changes due to disease or natural processes. We have developed a methodology for automated extraction of ventricular system from magnetic resonance imaging. Once extracted, landmarks are located on the surface of ventricular system automatically. These landmarks are then used for calculation of the ventricular shape, volume and size. A total of 30 cases were analyzed. Physical dimensions of normal ventricles are presented in this paper. (author abst.) |
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