Visualizing inner structures in multimodal volume data

With the evolution of medical image acquisition techniques, the capacity and fidelity of image-based diagnosis were extended. The current trend is to acquire information using multiple sources to help medical diagnosis, but the integration of the multivariate data into a single 3D representation is...

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Bibliographic Details
Published inProceedings. XV Brazilian Symposium on Computer Graphics and Image Processing pp. 51 - 58
Main Authors Manssour, I.H., Furuie, S.S., Olabarriaga, S.D., Freitas, C.M.D.S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
Biomedical imaging
Casting
Computed tomography
Cutting tools
Data visualization
Inspection
Magnetic resonance imaging
Medical diagnosis
Medical diagnostic imaging
Positron emission tomography
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Summary:With the evolution of medical image acquisition techniques, the capacity and fidelity of image-based diagnosis were extended. The current trend is to acquire information using multiple sources to help medical diagnosis, but the integration of the multivariate data into a single 3D representation is non-trivial. Techniques for the visualization of multimodal volume data have been developed with the goal of finding suitable strategies to integrate characteristics of multiple data sets into a single visual representation. Likewise, several techniques are dedicated to the exploration of different ways of incorporating seeing-through capabilities into volume rendering techniques. This paper presents a new approach to visualize inner structures in multimodal volume data, which is based in the utilization of cutting tools.
ISBN:076951846X
9780769518466
ISSN:1530-1834
2377-5416
DOI:10.1109/SIBGRA.2002.1167123