AUTOMATIC SEGMENTATION OF BRAIN MRI IMAGES: METHODS AND SOFTWARE
https://doi.org/10.22328/2077-9828-2014-6-3-73-77
Abstract
The article describes a technique of brain MRI postprocessing to assess brain atrophy changes in patients with multiple sclerosis. The technique is based on the integrated use of different software tools for automatic segmentation of normal brain structures. Comparative results of brain structure evaluation using FreeSurfer and FSL software packages are presented. Using a structured report to show the main results of postprocessing is proposed. The report can be used for segmentation visual quality control and for dynamic comparison of individual morphometry results. The use of an auxiliary in-house software which defines sequence and startup parameters for the used programs in a group of patients and automatically creates structured reports is proposed.
About the Authors
E. P. Magonov
N.P.Bechtereva Institute of the Human Brain of Russian academy of sciences; NMC Tomography LLC, Scandinavia Clinic
Russian Federation
Russian Federation
L. N. Prakhova
N.P.Bechtereva Institute of the Human Brain of Russian academy of sciences
Russian Federation
Russian Federation
A. G. Ilves
N.P.Bechtereva Institute of the Human Brain of Russian academy of sciences
Russian Federation
Russian Federation
G. V. Kataeva
N.P.Bechtereva Institute of the Human Brain of Russian academy of sciences
Russian Federation
Russian Federation
T. N. Trofimova
N.P.Bechtereva Institute of the Human Brain of Russian academy of sciences; NMC Tomography LLC, Scandinavia Clinic; Institute of Experimental Medicine
Russian Federation
Russian Federation
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Review
For citations:
Magonov E.P., Prakhova L.N., Ilves A.G., Kataeva G.V., Trofimova T.N. AUTOMATIC SEGMENTATION OF BRAIN MRI IMAGES: METHODS AND SOFTWARE. HIV Infection and Immunosuppressive Disorders. 2014;6(3):73-77. (In Russ.) https://doi.org/10.22328/2077-9828-2014-6-3-73-77
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