Medical Image Database for Morphometric and Functional Analysis of Brain Images


The KIPS Transactions:PartB , Vol. 8, No. 2, pp. 164-172, Apr. 2001
10.3745/KIPSTB.2001.8.2.164,   PDF Download:

Abstract

In this paper, a relational database which can visualize and achieve spatial, attribute, and mixed query was designed and implemented. A data type for query was visualized in slice, MPR (Multi-Planner Reformat), and volume rendering. Query with or without atlas can be available. After image data are spatially clustered using space-filling curve, they are compressed and stored to the database without loss. This paper proposed adaptive Hilbert curve, where the window size varies with the size of region of interest (ROI) to reduce the data size for storing. In the experiment, adaptive Hilbert curve provided 1.15 times better compression rate than Hilbert curve. Also, the result of spatial query for a brain tumor with atlas showed the proposed medical image database is useful.


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Cite this article
[IEEE Style]
T. W. Kim, "Medical Image Database for Morphometric and Functional Analysis of Brain Images," The KIPS Transactions:PartB , vol. 8, no. 2, pp. 164-172, 2001. DOI: 10.3745/KIPSTB.2001.8.2.164.

[ACM Style]
Tae Woo Kim. 2001. Medical Image Database for Morphometric and Functional Analysis of Brain Images. The KIPS Transactions:PartB , 8, 2, (2001), 164-172. DOI: 10.3745/KIPSTB.2001.8.2.164.