A considerable amount of work has been undertaken towards viewing the inner parts of the human body non-invasively. In this regard, Computerised Tomoaraphic Scanners and Nuclear Magnetic Ressonance Systems allow the acquisition of very accurate anatomical information. Althouah this information is of three-dimensional nature, it has been presented, in practice, as a series of cross-sectional images taken at varying depths. Similar data is generated by serial slicina in Patholoay, though in this case images are not necessarily physically alianed in relation to each other. Owing to the increasing processing pawer of digital computers and graphic peripherals, a major interest has developed in the reconstruction of internal body structures so as to create digUal objects which can be handled and dispIayed usina techniques developed in Computer Graphics. In this paper we present a system for handlina and display of 3D medical structures which can handle up to 8 objects simultaneously. We also discuss future steps towards overcoming the system's major drawback: processtng time.

A considerable amount of work has been undertaken towards viewing the inner parts of the human body non-invasively. In this regard, Computerised Tomoaraphic Scanners and Nuclear Magnetic Ressonance Systems allow the acquisition of very accurate anatomical information. Althouah this information is of three-dimensional nature, it has been presented, in practice, as a series of cross-sectional images taken at varying depths. Similar data is generated by serial slicina in Patholoay, though in this case images are not necessarily physically alianed in relation to each other. Owing to the increasing processing pawer of digital computers and graphic peripherals, a major interest has developed in the reconstruction of internal body structures so as to create digUal objects which can be handled and dispIayed usina techniques developed in Computer Graphics. In this paper we present a system for handlina and display of 3D medical structures which can handle up to 8 objects simultaneously. We also discuss future steps towards overcoming the system's major drawback: processtng time.