ORIGINAL ARTICLES AUTOMATIC WHITE MATTER BRAIN LESIONS SEGMENTATION
Abstract
Quantitative characterization of brain lesions may not be only a diagnostic criteria, but also the parameter for dynamic evaluation of various CNS diseases progression. Manual segmentation is the most accurate method of measuring lesions volume, but this method is time- and labor-intensive. There are different methods of automatic lesions segmentation that use different algorithms and have varied accuracy of the results. In this paper we compare two fundamentally different approaches to the automatic lesions segmentation basis on the MRI images and evaluate the possibility of using these methods as an alternative to manual segmentation.
About the Authors
E. P. Magonov
N. P Bechtereva Institute of the Human Brain of the Russian Academy of Sciences; Russian-Finnish clinic «Scandinavia»
Россия
Россия
G. V. Kataeva
N. P Bechtereva Institute of the Human Brain of the Russian Academy of Sciences
Россия
Россия
T. N. Trofimova
Russian-Finnish clinic «Scandinavia»
Россия
Россия
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Review
For citations:
Magonov E.P., Kataeva G.V., Trofimova T.N. ORIGINAL ARTICLES AUTOMATIC WHITE MATTER BRAIN LESIONS SEGMENTATION. Diagnostic radiology and radiotherapy. 2014;(3):37-42. (In Russ.)
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