A survey of algorithms for volume visualization
ACM SIGGRAPH Computer Graphics
An immersive virtual environment for DT-MRI volume visualization applications: a case study
Proceedings of the conference on Visualization '01
Augmenting the CAVE: An Initial Study into Close Focused, Inward Looking, Exploration in IPT Systems
DS-RT '07 Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications
MC slicing for volume rendering applications
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
DS-RT '09 Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
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None-invasive scanning technologies, such as MRI, have greatly enhanced our ability to ‘image’ the internal body, however the resultant visualisation is often difficult to comprehend due to both inadequacies in the scanning process and sub-optimal approaches to visualisation and data representation. These factors impose significant cognitive load on the user, requiring skill and experience to accurately comprehend the detail of the data, and intense concentration, in less experienced users, to understand the structures present. This research aims to improve the users’ ability to comprehend and explore the scanned data sets, through a combination of enhanced data processing and effective 3D visualisation that will seek refined representational paradigms to intuitively convey meaning to the user. This is achieved in a real-time 3D exploration environment, utilising recent developments in graphics hardware, which enables the user to both refine the visual representation and effectively explore the data set, thereby defining a prototype for enhanced medical visualisation and exploration. Ultimately this will improve diagnosis, procedural planning and most importantly communication, both between medical clinicians and the patient themselves.