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Proceedings Paper

Segmentation and 3D visualization of high-resolution human brain cryosections
Author(s): Ikuko Takanashi; Eric Lum; Kwan-Liu Ma; Joerg Meyer; Bernd Hamann; Arthur J. Olson
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Paper Abstract

We present a semi-automatic technique for segmenting a large cryo-sliced human brain data set that contains 753 high resolution RGB color images. This human brain data set presents a number of unique challenges to segmentation and visualization due to its size (over 7 GB) as well as the fact that each image not only shows the current slice of the brain but also unsliced deeper layers of the brain. These challenges are not present in traditional MRI and CT data sets. We have found that segmenting this data set can be made easier by using the YIQ color model and morphology. We have used a hardware-assisted interactive volume renderer to evaluate our segmentation results.

Paper Details

Date Published: 12 March 2002
PDF: 7 pages
Proc. SPIE 4665, Visualization and Data Analysis 2002, (12 March 2002); doi: 10.1117/12.458810
Show Author Affiliations
Ikuko Takanashi, Univ. of California/Davis (United States)
Eric Lum, Univ. of California/Davis (United States)
Kwan-Liu Ma, Univ. of California/Davis (United States)
Joerg Meyer, Mississippi State Univ. (United States)
Bernd Hamann, Univ. of California/Davis (United States)
Arthur J. Olson, Scripps Research Institute (United States)


Published in SPIE Proceedings Vol. 4665:
Visualization and Data Analysis 2002
Robert F. Erbacher; Philip C. Chen; Matti Groehn; Jonathan C. Roberts; Craig M. Wittenbrink, Editor(s)

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