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Morphological data fusion in medical imaging

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dc.contributor.author Marshall, S en
dc.contributor.author Matsopoulos, G en
dc.date.accessioned 2014-03-01T02:48:10Z
dc.date.available 2014-03-01T02:48:10Z
dc.date.issued 1993 en
dc.identifier.uri http://hdl.handle.net/123456789/33593
dc.subject Computed Tomography en
dc.subject Human Brain en
dc.subject Image Fusion en
dc.subject Magnetic Resonance en
dc.subject Medical Image en
dc.subject Mr Imaging en
dc.subject Visual Perception en
dc.subject Data Fusion en
dc.title Morphological data fusion in medical imaging en
heal.type conferenceItem en
heal.identifier.primary 10.1109/NDSP.1993.767735 en
heal.identifier.secondary http://dx.doi.org/10.1109/NDSP.1993.767735 en
heal.publicationDate 1993 en
heal.abstract A hierarchical image fusion scheme is presented which preserves the details of the input images of most relevance for visual perception. The technique is demonstrated by fusing images derived from magnetic resonance (MR) and computed tomography (CT) scanners. The fusion scheme has been applied to both phantoms of the above modalities, and also to pairs of MR images of the en
heal.journalName IEEE Winter Workshop on Nonlinear Digital Signal Processing en
dc.identifier.doi 10.1109/NDSP.1993.767735 en


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