Morphological data fusion in medical imaging

Marshall, S; Matsopoulos, G

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	https://dspace.lib.ntua.gr/xmlui/handle/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