Augmented Reality Approaches in Intelligent Health Technologies and Brain Lesion Detection

Abstract : In this paper authors present their new proposition of system for cognitive analysis of dynamic computer tomography perfusion maps (dpCT). The novel contribution of this article is introducing an augmented reality visualization module that supports real time volume rendering (VR) of derived data. Authors also presents the results of their researches on optimization of VR algorithm memory usage by dynamic computation of volume gradient instead of pre-generation of gradient Authors compare five different discrete gradient computation schemas taking into account image quality and processing speed on two VR algorithms: volume ray casting and texture based visualization with view aligned slices.
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A Min Tjoa; Gerald Quirchmayr; Ilsun You; Lida Xu. 1st Availability, Reliability and Security (CD-ARES), Aug 2011, Vienna, Austria. Springer, Lecture Notes in Computer Science, LNCS-6908, pp.135-148, 2011, Availability, Reliability and Security for Business, Enterprise and Health Information Systems. 〈10.1007/978-3-642-23300-5_11〉
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Tomasz Hachaj, Marek Ogiela. Augmented Reality Approaches in Intelligent Health Technologies and Brain Lesion Detection. A Min Tjoa; Gerald Quirchmayr; Ilsun You; Lida Xu. 1st Availability, Reliability and Security (CD-ARES), Aug 2011, Vienna, Austria. Springer, Lecture Notes in Computer Science, LNCS-6908, pp.135-148, 2011, Availability, Reliability and Security for Business, Enterprise and Health Information Systems. 〈10.1007/978-3-642-23300-5_11〉. 〈hal-01590406〉

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