HEAL DSpace

From raw data to WWW compatible visualization and manipulation: Imaging human electric potentials

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dc.contributor.author Delibasis, KK en
dc.contributor.author Michael, CCh en
dc.contributor.author Mouravliansky, N en
dc.contributor.author Papaodysseas, CK en
dc.date.accessioned 2014-03-01T01:13:45Z
dc.date.available 2014-03-01T01:13:45Z
dc.date.issued 1998 en
dc.identifier.issn 0167-739X en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/12707
dc.subject Human electrical potentials en
dc.subject Registration en
dc.subject Segmentation en
dc.subject Triangulation en
dc.subject Visualization en
dc.subject.classification Computer Science, Theory & Methods en
dc.subject.other Algorithms en
dc.subject.other Bioelectric potentials en
dc.subject.other Computer programming languages en
dc.subject.other Computer vision en
dc.subject.other Computerized tomography en
dc.subject.other Image reconstruction en
dc.subject.other Image segmentation en
dc.subject.other Interactive computer systems en
dc.subject.other Skin en
dc.subject.other Three dimensional computer graphics en
dc.subject.other Wide area networks en
dc.subject.other Triangulation algorithm en
dc.subject.other VRML programming language en
dc.subject.other World wide web (WWW) en
dc.subject.other Medical imaging en
dc.title From raw data to WWW compatible visualization and manipulation: Imaging human electric potentials en
heal.type journalArticle en
heal.identifier.primary 10.1016/S0167-739X(98)00010-7 en
heal.identifier.secondary http://dx.doi.org/10.1016/S0167-739X(98)00010-7 en
heal.language English en
heal.publicationDate 1998 en
heal.abstract This paper describes a pilot system that acquires images of the electric potentials within the human body and stores the results in a format accessible and visualizable through the WWW. The proposed system uses a system of external electrodes to acquire measurements of electric potentials at the level of the skin, followed by an algorithm that reconstructs the value of the electric potential in the interior of the human body, thus producing a three-dimensional (3D) image. The main aspects of the reported work is the visualization of the results in such a way that the acquired information can be imaged through the WWW so that the diagnostically useful information can be maximized. For this reason, the voxels of the acquired electric image are labeled using a conventional CT image from the same patient whereas a triangulation algorithm (marching cubes - MC) is used to create the VRML output for information visualization. (C) 1998 Elsevier Science B.V. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName Future Generation Computer Systems en
dc.identifier.doi 10.1016/S0167-739X(98)00010-7 en
dc.identifier.isi ISI:000074480700007 en
dc.identifier.volume 14 en
dc.identifier.issue 1-2 en
dc.identifier.spage 67 en
dc.identifier.epage 77 en


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