NDLI: An efficient clustering method for fast rendering of time-varying volumetric medical data

Content Provider	Springer Nature Link
Author	Wang, Zhenlan Nguyen, Binh P. Chui, Chee Kong Qin, Jing Ang, Chuan Heng Ong, Sim Heng
Copyright Year	2010
Abstract	Visualization and exploration of time-varying volumetric medical data help clinicians for better diagnosis and treatment. However, it is a challenge to render these data in an interactive manner because of their complexity and large size. We propose an efficient clustering method for fast compression and rendering of these large dynamic data. We divide the volumes into a set of blocks and use a BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies) based algorithm to cluster them, which can usually find a high quality clustering with a single scan of the blocks. In addition, the granularity of clusters can be adaptively adjusted by dynamically configuring threshold values. In each cluster of blocks, a KeyBlock is generated to represent the cluster, and therefore the storage space of the volumes is reduced greatly. In addition, we assign a lifetime to every KeyBlock and implement a dynamic memory management scheme to further reduce the storage space. During the rendering, each KeyBlock is rendered as a KeyImage, which can be reused if the view transformation and transfer function are not changed. This reuse can help to increase the rendering speed significantly. Experimental results showed that the proposed method can achieve good performance in terms of both speed optimization and space reduction.
Starting Page	1061
Ending Page	1070
Page Count	10
File Format	PDF
ISSN	01782789
Journal	The Visual Computer
Volume Number	26
Issue Number	6-8
e-ISSN	14322315
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-04-15
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Time-varying volume rendering BIRCH Clustering 4-D medical images Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Computer Graphics
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Software

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