Nelder-Mead simplex modifications for simulation optimization
Management Science
Semi-automatic generation of transfer functions for direct volume rendering
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization
Proceedings of the conference on Visualization '01
Importance-Driven Feature Enhancement in Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
Visualizing Dual-Modality Rendered Volumes Using a Dual-Lookup Table Transfer Function
Computing in Science and Engineering
Texture-based Transfer Functions for Direct Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Size-based Transfer Functions: A New Volume Exploration Technique
IEEE Transactions on Visualization and Computer Graphics
The Occlusion Spectrum for Volume Classification and Visualization
IEEE Transactions on Visualization and Computer Graphics
Visibility Histograms and Visibility-Driven Transfer Functions
IEEE Transactions on Visualization and Computer Graphics
Automatic Transfer Functions Based on Informational Divergence
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Information Technology in Biomedicine
Multimodal Data Fusion Based on Mutual Information
IEEE Transactions on Visualization and Computer Graphics
Information-based transfer functions for multimodal visualization
EG VCBM'08 Proceedings of the First Eurographics conference on Visual Computing for Biomedicine
A cluster-space visual interface for arbitrary dimensional classification of volume data
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
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Multi-modality (MM) positron emission tomography-computed tomography (PET-CT) visualises biological and physiological functions (from PET) as region of interests (ROIs) within a higher resolution anatomical reference frame (from CT). The need to efficiently assess and assimilate the information from these co-aligned volumes simultaneously has stimulated new visualisation techniques that combine 3D volume rendering with interactive transfer functions to enable efficient manipulation of these volumes. However, in typical MM volume rendering visualisation, the transfer functions for the volumes are manipulated in isolation with the resulting volumes being fused, thus failing to exploit the spatial correlation that exists between the aligned volumes. Such lack of feedback makes MM transfer function manipulation complex and time consuming. Further, transfer function alone is often insufficient to select the ROIs when they have similar voxel properties to those of non-relevant regions.In this study, we propose a new ROI-based MM visibility-driven transfer function (m 2-vtf) for PET-CT visualisation. We present a novel `visibility' metric, a fundamental optical property that represents how much of the ROIs are visible to the users, and use it to measure the visibility of the ROIs in PET in relation to how it is affected by transfer function manipulations to its counterpart CT. To overcome the difficulty in ROI selection, we provide an intuitive ROI selection tool based on automated PET segmentation. We further present a MM transfer function automation where the visibility metrics from the PET ROIs are used to automate its CT's transfer function. Our GPU implementation achieved an interactive visualisation of PET-CT with efficient and intuitive transfer function manipulations.