Standard

Optimization Method of the Velocity Field Determination for Tomographic Images. / Котина, Елена Дмитриевна; Бажанов, Павел Валерьевич; Овсянников, Дмитрий Александрович.

Stability and Control Processes. Springer Nature, 2022. стр. 723-729 (Lecture Notes in Control and Information Sciences - Proceedings).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Котина, ЕД, Бажанов, ПВ & Овсянников, ДА 2022, Optimization Method of the Velocity Field Determination for Tomographic Images. в Stability and Control Processes. Lecture Notes in Control and Information Sciences - Proceedings, Springer Nature, стр. 723-729, Stability and Control Processes, Saint Petersburg, Российская Федерация, 5/10/20. https://doi.org/10.1007/978-3-030-87966-2_82

APA

Котина, Е. Д., Бажанов, П. В., & Овсянников, Д. А. (2022). Optimization Method of the Velocity Field Determination for Tomographic Images. в Stability and Control Processes (стр. 723-729). (Lecture Notes in Control and Information Sciences - Proceedings). Springer Nature. https://doi.org/10.1007/978-3-030-87966-2_82

Vancouver

Котина ЕД, Бажанов ПВ, Овсянников ДА. Optimization Method of the Velocity Field Determination for Tomographic Images. в Stability and Control Processes. Springer Nature. 2022. стр. 723-729. (Lecture Notes in Control and Information Sciences - Proceedings). https://doi.org/10.1007/978-3-030-87966-2_82

Author

BibTeX

@inproceedings{c7066973fbad47dc924d0f7bfdbb893a,
title = "Optimization Method of the Velocity Field Determination for Tomographic Images",
abstract = "The digital image processing problem basing on velocity field determination is considered. An optimization method for constructing the velocity field basing on the study of the integral functional on the ensemble of trajectories is developed. The analytical form of functional variation allows using directed optimization methods to find the desired parameters. This method is considered for 3D tomographic image processing, in particular, for PET images for the movement correction in dynamic studies.",
author = "Котина, {Елена Дмитриевна} and Бажанов, {Павел Валерьевич} and Овсянников, {Дмитрий Александрович}",
year = "2022",
doi = "10.1007/978-3-030-87966-2_82",
language = "English",
isbn = "978-3-030-87965-5",
series = "Lecture Notes in Control and Information Sciences - Proceedings",
publisher = "Springer Nature",
pages = "723--729",
booktitle = "Stability and Control Processes",
address = "Germany",
note = "Stability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov : Dedicated to the Memory of Professor Vladimir Zubov, SCP2020 ; Conference date: 05-10-2020 Through 09-10-2020",
url = "http://www.apmath.spbu.ru/scp2020/, http://www.apmath.spbu.ru/scp2020/ru/main/, http://www.apmath.spbu.ru/scp2020/eng/program/#schedule, https://link.springer.com/conference/scp",

}

RIS

TY - GEN

T1 - Optimization Method of the Velocity Field Determination for Tomographic Images

AU - Котина, Елена Дмитриевна

AU - Бажанов, Павел Валерьевич

AU - Овсянников, Дмитрий Александрович

N1 - Conference code: 4

PY - 2022

Y1 - 2022

N2 - The digital image processing problem basing on velocity field determination is considered. An optimization method for constructing the velocity field basing on the study of the integral functional on the ensemble of trajectories is developed. The analytical form of functional variation allows using directed optimization methods to find the desired parameters. This method is considered for 3D tomographic image processing, in particular, for PET images for the movement correction in dynamic studies.

AB - The digital image processing problem basing on velocity field determination is considered. An optimization method for constructing the velocity field basing on the study of the integral functional on the ensemble of trajectories is developed. The analytical form of functional variation allows using directed optimization methods to find the desired parameters. This method is considered for 3D tomographic image processing, in particular, for PET images for the movement correction in dynamic studies.

UR - https://www.mendeley.com/catalogue/52b7f20d-6d5c-3986-97a6-4d01e88ff135/

U2 - 10.1007/978-3-030-87966-2_82

DO - 10.1007/978-3-030-87966-2_82

M3 - Conference contribution

SN - 978-3-030-87965-5

SN - 978-3-030-87968-6

T3 - Lecture Notes in Control and Information Sciences - Proceedings

SP - 723

EP - 729

BT - Stability and Control Processes

PB - Springer Nature

T2 - Stability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov

Y2 - 5 October 2020 through 9 October 2020

ER -

ID: 93511942