Tissue segmentation by high resolution MRI: improved accuracy and stability

Tissue segmentation based on 2D and 3D feature maps derived from high resolution MR images was performed in experimental brain edema in cats, normal humans and those with brain tumors and MS. Statistical and anisotropic diffusion filters were applied to the data. The k-nearest neighborhood segmentat...

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Bibliographic Details
Main Authors: Vinitski, S., Gonzalez, C., Burnett, C., Seshagiri, S., Mohamed, F.B., Lublin, F.D., Knobler, R.L., Frazer, G.
Format: Conference Proceeding
Language:English
Subjects:
Anisotropic magnetoresistance
Cats
Filters
Humans
Image resolution
Image segmentation
Lesions
Magnetic resonance imaging
Neoplasms
Online Access:Request full text
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Summary:Tissue segmentation based on 2D and 3D feature maps derived from high resolution MR images was performed in experimental brain edema in cats, normal humans and those with brain tumors and MS. Statistical and anisotropic diffusion filters were applied to the data. The k-nearest neighborhood segmentation algorithm was utilized. Segmentation based on a 3D feature map was found to be much better than that based on a 2D feature map (p
DOI:10.1109/IEMBS.1994.411905