Automatic Algorithm of Magnetic Resonance Morphometry in the Diagnosis of Focal Cortical Dysplasia
https://doi.org/10.52560/2713-0118-2022-1-63-76
Abstract
The purpose of the study — to create an original algorithm of MR-morphometry for identifying FCD zones. Based on the use of the ANTs and FSL programs, an algorithm for MR morphometry was developed. It was used to generate maps of the z-index of the blur of the transition of gray and white matter and the thickness of the crust (Junction and thickness maps).
An algorithm for automatic detection of focal cortical dysplasia zones has been developed. The MRI morphometry method is a promising technique for additional assessment of pathological changes in focal cortical dysplasia.
About the Authors
A. M. ShevchenkoRussian Federation
Shevchenko Alexander Mikhailovich, postgraduate student of Department of X-ray and Radioisotope Diagnostic Methods
Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047
E. L. Pogosbekyan
Russian Federation
Pogosbekyan Eduard Leonidovich, medical physicist of Department of X-ray and Radioisotope Diagnostic Methods
Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047
A. I. Batalov
Russian Federation
Batalov Artem Igorevich, researcher of physicist of Department of X-ray and Radioisotope Diagnostic Methods
Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047
E. I. Shultz
Russian Federation
Shults Evgenij Igorevich, Ph. D. Med., Radiologist, Department of X-ray and Radioisotope Diagnostic Methods
Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047
A. N. Tyurina
Russian Federation
Tyurina Anastasiya Nikolaevna, Junior Researcher of Department of X-ray and Radioisotope Diagnostic Methods
Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047
L. M. Fadeeva
Russian Federation
Fadeeva Liudmila Mikhailovna, Leading Engineer of Department of X-ray and Radioisotope Diagnostic Methods
Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047
M. V. Shevchenko
Russian Federation
Shevchenko Maria Vladimirovna, resident of the Department of Functional Diagnostics
Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047
P. A. Vlasov
Russian Federation
Vlasov Pavel Alexandrovich, Doctor of the Second Neurosurgical Department
Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047
N. E. Zakharova
Russian Federation
Zakharova Natalia Evgen’evna, M. D. Med., Professor of the Russian Academy of Sciences, Leading Research Fellow, Neurosurgical Department
Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047
A. G. Melikyan
Russian Federation
Melikyan Armenak Grigorievich, M. D. Med., Professor, Head of the Second Neurosurgical Department
Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047
I. N. Pronin
Russian Federation
Pronin Igor` Nikolaevich, M. D. Med., Professor, Academician of the Russian Academy of Sciences, Head of Department of X-ray and Radioisotope Diagnostic Methods
Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047
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Supplementary files
Review
For citations:
Shevchenko A.M., Pogosbekyan E.L., Batalov A.I., Shultz E.I., Tyurina A.N., Fadeeva L.M., Shevchenko M.V., Vlasov P.A., Zakharova N.E., Melikyan A.G., Pronin I.N. Automatic Algorithm of Magnetic Resonance Morphometry in the Diagnosis of Focal Cortical Dysplasia. Radiology - Practice. 2022;(1):63-76. (In Russ.) https://doi.org/10.52560/2713-0118-2022-1-63-76