V.N. Gridin – Dr. Sc. (Eng.), Professor, Head of Researches, 

Design information technologies Сenter of the Russian Аcademy of Sciences

E-mail: info@ditc.ras.ru

N.N. Yakhno – Dr. Sc. (Med.), Professor, 

Design information technologies Сenter of Russian Academy of Sciences;

Neurological Department of First Moscow Medical University I.M. Setchenov

E-mail: info@ditc.ras.ru

M.I. Truphanov – Ph.D., Associate Professor, Senior Researcher, 

Design Information Technologies Center of the Russian Аcademy of Sciences

E-mail: info@ditc.ras.ru

V.A. Vinogradov – Researcher, 

Design Information Technologies Center of the Russian Academy of Sciences

E-mail: info@ditc.ras.ru

One of the problems in the diagnosis of various cognitive impairment is the study of brain structures based on the analysis of magnetic resonance images. Despite the fact that at present there are software systems that can be used to analyze brain images, they are not applicable in the practice of doctors to analyze signs of Alzheimer's disease and are used only in highly specialized scientific studies by a small circle of specialists. Algorithmic and software have been developed, experimental studies presented and confirm the correctness of the results obtained. The developed software provides an analysis of magnetic resonance images to detect signs of Alzheimer's disease, which is important in the practice of doctors for the timely diagnosis of Alzheimer's disease.

1. Gridin V.N., Trufanov M.I., Solodovnikov V.I., Panishchev V.S., Sinitsyn V.E., Yakhno N.N. Avtomaticheskiy analiz kolichestvennykh kharakteristik gippokampa pri magnitno-rezonansnoy tomografii golovnogo mozga dlya diagnostiki vozmozhnoy bolezni Altsgeymera (obzor literatury i rezultaty sobstvennykh issledovaniy). Radiologiya – praktika. 2017. № 6. S. 41-59. (in Russian).
2. Sinitsyn V.E., Gridin V.N., Perepelova E.M., Perepelov V.A. Rol metodov kolichestvennogo analiza dannykh magnitno-rezonansnoy tomografii v diagnostike bolezni Altsgeymera na ranney stadii zabolevaniya. Vestnik rentgenologii i radiologii. 2017. T. 98. № 5.  S. 269-274. (in Russian).
3. Freesurfer software suite – http://freesurfer.net/ (data obrashcheniya: 20.11.2019)
4. Yousaf T., Dervenoulas G., Politis M. Advances in MRI Methodology. International Review of Neurobiology. 2018. V. 141. P. 31-76.
5. Pathak S., Fernandez-Miranda J.C. Structural and Functional Connectivity of the Claustrum in the Human Brain. In: Edelstein L.R., Smythies J.R., Ramachandran V.S. (Eds) The Claustrum – Structural, Functional, and Clinical Neuroscience. Elsevier – Academic Press. 2014. P. 209-224.
6. Gridin V.N., Perepelov V.A., Solodovnikov V.I., Yakhno N.N. Analiz dannykh diffuzionno-tenzornoy MRT dlya vyyavleniya vliyaniya tserebralnoy mikroangiopatii na tselostnost belogo veshchestva golovnogo mozga u patsiyentov s boleznyu Altsgeymera. Sbornik trudov ITNT-2019. S. 126-134. (in Russian)
7. Gridin V.N., Yakhno N.N., Sinitsyn V.E., Perepelov V.A., Trufanov M.I., Vinogradov V.A. Algoritm poiska gippokampa na serii magnitnorezonansnykh izobrazheniy golovnogo mozga pri diagnostike bolezni Altsgeymera. Informatsionnyye tekhnologii i vychislitelnyye sistemy. 2018. № 4. S. 23-32. DOI: 10.14357/20718632180403 (in Russian).
8. Gridin V.N., Panishchev V.S., Trufanov M.I., Yakhno N.N. Vychisleniye kolichestvennykh kharakteristik kortikalnoy plastinki temennoy oblasti i podkorkovykh struktur golovnogo mozga pri analize kachestvennykh dannykh magnitno-rezonansnoy tomografii dlya diagnostiki bolezni Altsgeymera. Biomeditsinskaya radioelektronika. 2017. № 11. S. 3-10. (in Russian).
9. Gridin V.N., Perepelov V.A., Panishchev V.S., Trufanov M.I., Yakhno N.N. Algoritm vychisleniya parametrov gippokampa pri diagnostike bolezni Altsgeymera. Biomeditsinskaya radioelektronika. 2019. № 7. T. 22. № 7. S. 5-15. DOI: 10.18127/j15604136-201907-01