A statistical method for display and segmentation of 3D image data

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dc.contributor.authorVafadar, B.
dc.contributor.authorWu, B.
dc.contributor.authorBones, P.J.
dc.date.accessioned2010-04-29T21:47:25Z
dc.date.available2010-04-29T21:47:25Z
dc.date.issued2009en
dc.description.abstractA new method for visualisation and segmentation of vessel structures in 3D magnetic resonance angiography (MRA) images is presented. This method uses a simple statistical model of the information stored along parallel rays within the data set to derive a 2D projection image. Although similar to the maximum image projection (MIP) method, the new method uses a single parameter to achieve a higher contrast-to-noise ratio at a modest computational cost. The same idea is employed to provide a means of segmenting a 3D data set in order to derive a region of support for the purpose of reconstructing image sequences with high temporal resolution.en
dc.identifier.citationVafadar, B., Wu, B., Bones, P.J. (2009) A statistical method for display and segmentation of 3D image data. Wellington, NZ: Image and Vision Computing New Zealand (IVCNZ 2009), 23-25 Nov 2009.en
dc.identifier.urihttp://hdl.handle.net/10092/3807
dc.language.isoen
dc.publisherUniversity of Canterbury. Electrical and Computer Engineeringen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjectMR angiographyen
dc.subject3D segmentationen
dc.subjectmaximum intensity projectionen
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280203 Image processingen
dc.subject.marsdenFields of Research::320000 Medical and Health Sciences::321000 Clinical Sciences::321022 Radiology and organ imagingen
dc.subject.marsdenFields of Research::290000 Engineering and Technology::291500 Biomedical Engineering::290599 Biomedical engineering not elsewhere classifieden
dc.titleA statistical method for display and segmentation of 3D image dataen
dc.typeConference Contributions - Published
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