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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. Shevchenko
N. N. Burdenko National Medical Research Center of Neurosurgery, Ministry of Healthcare of Russia
Russian 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
N. N. Burdenko National Medical Research Center of Neurosurgery, Ministry of Healthcare of Russia
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
N. N. Burdenko National Medical Research Center of Neurosurgery, Ministry of Healthcare of Russia
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
N. N. Burdenko National Medical Research Center of Neurosurgery, Ministry of Healthcare of Russia
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
N. N. Burdenko National Medical Research Center of Neurosurgery, Ministry of Healthcare of Russia
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
N. N. Burdenko National Medical Research Center of Neurosurgery, Ministry of Healthcare of Russia
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
N. N. Burdenko National Medical Research Center of Neurosurgery, Ministry of Healthcare of Russia
Russian Federation

Shevchenko Maria Vladimirovna, resident of the Department of Functional Diagnostics

Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047



P. A. Vlasov
N. N. Burdenko National Medical Research Center of Neurosurgery, Ministry of Healthcare of Russia
Russian Federation

Vlasov Pavel Alexandrovich, Doctor of the Second Neurosurgical Department

Address: 16, ul. 4th Tverskaya-Yamskaya, Moscow, 125047



N. E. Zakharova
N. N. Burdenko National Medical Research Center of Neurosurgery, Ministry of Healthcare of Russia
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
N. N. Burdenko National Medical Research Center of Neurosurgery, Ministry of Healthcare of Russia
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
N. N. Burdenko National Medical Research Center of Neurosurgery, Ministry of Healthcare of Russia
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



References

1. Ananth H, Popescu I, Critchley HD, Good CD, Frackowiak RS, Dolan RJ. Cortical and subcortical gray matter abnormalities in schizophrenia determined through structural magnetic resonance imaging with optimized volumetric voxel-based morphometry // Am. j. psychiatry. 2002. V. 159. P. 1497–1505.

2. Bo Jin, Balu Krishnan, Sophie Adler, Konrad Wagstyl, Wenhan Hu, Stephen Jones, Imad Najm, Andreas Alexopoulos, Kai Zhang, Jianguo Zhang, Meiping Ding, Shuang Wang. Automated detection of focal cortical dysplasia type II with surface-based magnetic resonance imaging postprocessing and machine learning // Epilepsia. 2018. V. 59, No. 5. P. 982-992.

3. Bruce Fischl. FreeSurfer // Neuroimage. 2012. V. 62. No. 2. P. 774-81.

4. Cuixia Feng, Hulin Zhao, Yueer Li, Junhai Wen J. Automatic localization and segmentation of focal cortical dysplasia in FLAIR-negative patients using a convolutional neural network // Appl Clin Med Phys. 2020. V. 21. No. 9. P. 215-226.

5. Haacke E.M., Mittal S., Neelavalli Z. Wu. Susceptibility-Weighted Imaging: Technical Aspects and Clinical Applications // AJNR Am J Neuroradiol. 2009. V. 30. No. 1. P. 19–30.

6. Mark Jenkinson, Christian F. Beckmann, Timothy E.J. Behrens, Mark W. Woolrich, Stephen M. Smith. FSL // NeuroImage. 2012. V. 62. No. 2. P. 782-790

7. Matsuda H. MRI morphometry in Alzheimer's disease // Ageing Res Rev. 2016. V. 30. P. 17-24.

8. Nicholas J. Tustison, Andrew J. Holbrook, Brian B. Avants, Jared M. Roberts, Philip A. Cook, Zachariah M. Reagh, Jeffrey T. Duda, James R. Stone, Daniel L. Gillen, Michael A. Yassa. The ANTs Longitudinal Cortical Thickness Pipeline View for the Alzheimer’s Disease // J Alzheimers Dis. 2019. V. 71. No. 1. P. 165-183.

9. Seok-Jun Hong, Hosung Kim, Dewi Schrader, Neda Bernasconi, Boris C Bernhardt, Andrea Bernasconi. Automated detection of cortical dysplasia type II in MRI-negative epilepsy // Neurology. 2014. V. 83. No. 1. P. 48-55.

10. Xin Chen, Tianyi Qian, Bénédicte Maréchal, Guojun Zhang, Tao Yu, Zhiwei Ren, Duanyu Ni, Chang Liu, Yongjuan Fu, Nan Chen, Kuncheng Li, Quantitative volume-based morphometry in focal cortical dysplasia: A pilot study for lesion localization at the individual level // European Journal of Radiology. 2018. V. 105, P. 240-245.


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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

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ISSN 2713-0118 (Online)