Hi Jason,
how big are the ventricles? I have some prototype code that seems to work well on huge ventricle subjects. I could try it on your subject data if you want to put it on our website
cheers, Bruce On Tue, 6 Jan 2009, Jason S. Minamora wrote:
Hello,
I'm using a home-grown GCA constructed from five acallosal subjects to try to improve the automatic labeling and segmentation of volumes from this population. However, the labeling was quite bad when performed on a representative subject, and the ventricles were only partially filled and crossed the IHF in areas:
Left_Lateral_Ventricle (4): linear fit = 1.00x + 0.0 (713 voxels, overlap=0.480) Left_Lateral_Ventricle (4): linear fit = 1.00x + 0.0 (713 voxels, peak = 38), gca=37.8 Right_Lateral_Ventricle (43): linear fit = 1.00x + 0.0 (370 voxels, overlap=0.292) Right_Lateral_Ventricle (43): linear fit = 1.00x + 0.0 (370 voxels, peak=38)
I also noticed that the 152-subject MNI atlas that came with FS had ventricles that were much "darker" (when converted to NIFTI and displayed in fslview) than my own atlas: the mean ventricle intensities were about 15 and 30, respectively. We suffer from a lack of data, too. Is it possible to improve the GCA and labeling with such limited data?
Jason
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