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  Three-dimensional texture analysis of MRI brain datasets

Kovalev, V. A., Kruggel, F., Gertz, H. J., & von Cramon, D. Y. (2001). Three-dimensional texture analysis of MRI brain datasets. IEEE Transactions on Medical Imaging, 20(5), 424-433.

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 Creators:
Kovalev, V. A.1, Author           
Kruggel, F.1, 2, Author           
Gertz, H. J., Author
von Cramon, D. Yves2, Author           
Affiliations:
1Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634563              
2MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634574              

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 Abstract: A method is proposed for three-dimensional (3-D) texture analysis of magnetic resonance imaging brain datasets. It is based on extended, multisort co-occurrence matrices that employ intensity, gradient and anisotropy image features in a uniform way. Basic properties of matrices as well as their sensitivity and dependence on spatial image scaling are evaluated. The ability of the suggested 3-D texture descriptors is demonstrated on nontrivial classification tasks for pathologic findings in brain datasets.

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Language(s): eng - English
 Dates: 2001
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 239034
ISI: 000169007000006
Other: P6588
CoNE: https://pure.mpg.de/cone1109/42.925295
 Degree: -

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Title: IEEE Transactions on Medical Imaging
  Other : IEEE Trans. Med. Imaging
Source Genre: Journal
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Publ. Info: New York, NY : Institute of Electrical and Electronics Engineers
Pages: - Volume / Issue: 20 (5) Sequence Number: - Start / End Page: 424 - 433 Identifier: ISSN: 0278-0062
CoNE: https://pure.mpg.de/cone/journals/resource/954925505280