|Title||Segmentation and 3D Visualization of High-Resolution Human Brain Cryosections
(In Proceedings) |
|in||Visualization and Data Analysis 2002|
Ikuko Takanashi, Eric Lum, Kwan-Liu Ma, Joerg Meyer, Bernd Hamann, Arthur J. Olson |
Robert F. Erbacher, Philip C. Chen, Matti Groehn, Jonathan C. Roberts, Craig M. Wittenbrink |
|Keyword(s)||Color models, cryosections, morphological operations, medical imaging, segmentation, volume rendering|
|Organization|| SPIE- The International Society for Optical Engineering|
We present a semi-automatic technique for segmenting a large cryo-sliced human brain data set that contains 753 highresolution 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.