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Digital Image Processing in Nuclear Medicine. / Котина, Елена Дмитриевна; Плоских, Виктор Александрович; Широколобов, Александр Юрьевич.

In: Physics of Particles and Nuclei, Vol. 53, No. 2, 01.04.2022, p. 535-540.

Research output: Contribution to journal › Article › peer-review

Harvard

Котина, ЕД, Плоских, ВА & Широколобов, АЮ 2022, 'Digital Image Processing in Nuclear Medicine', Physics of Particles and Nuclei, vol. 53, no. 2, pp. 535-540. https://doi.org/10.1134/s1063779622020435

APA

Котина, Е. Д., Плоских, В. А., & Широколобов, А. Ю. (2022). Digital Image Processing in Nuclear Medicine. Physics of Particles and Nuclei, 53(2), 535-540. https://doi.org/10.1134/s1063779622020435

Vancouver

Котина ЕД, Плоских ВА, Широколобов АЮ. Digital Image Processing in Nuclear Medicine. Physics of Particles and Nuclei. 2022 Apr 1;53(2):535-540. https://doi.org/10.1134/s1063779622020435

Author

Котина, Елена Дмитриевна ; Плоских, Виктор Александрович ; Широколобов, Александр Юрьевич. / Digital Image Processing in Nuclear Medicine. In: Physics of Particles and Nuclei. 2022 ; Vol. 53, No. 2. pp. 535-540.

BibTeX

@article{820cf47ae4ba40b8a7308a926ae577c8,
title = "Digital Image Processing in Nuclear Medicine",
abstract = "Abstract: The nuclear physics methods are increasingly important in medicine for the early diagnosis of diseases. Nuclear medicine is one of the most modern methods of non-invasive functional diagnostics, providing information that cannot be acquired with other imaging technologies. Its methods require advanced mathematics for data processing and analysis [1–5]. Development of mathematical methods and data processing software for single photon emission computed tomography (SPECT) and positron emission tomography (PET) remains a challenging problem. The report discusses the methods for radionuclide image processing for dynamic and gated SPECT data [6]. There is a trend toward complete automation of processing and interpretation of radionuclide studies. The report presents the developed data processing software suite for nuclear medicine imaging. In conclusion, the main directions and prospects for the development of nuclear medicine data processing tools are considered.",
author = "Котина, {Елена Дмитриевна} and Плоских, {Виктор Александрович} and Широколобов, {Александр Юрьевич}",
year = "2022",
month = apr,
day = "1",
doi = "10.1134/s1063779622020435",
language = "English",
volume = "53",
pages = "535--540",
journal = "Physics of Particles and Nuclei",
issn = "1063-7796",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "2",

}

RIS

TY - JOUR

T1 - Digital Image Processing in Nuclear Medicine

AU - Котина, Елена Дмитриевна

AU - Плоских, Виктор Александрович

AU - Широколобов, Александр Юрьевич

PY - 2022/4/1

Y1 - 2022/4/1

N2 - Abstract: The nuclear physics methods are increasingly important in medicine for the early diagnosis of diseases. Nuclear medicine is one of the most modern methods of non-invasive functional diagnostics, providing information that cannot be acquired with other imaging technologies. Its methods require advanced mathematics for data processing and analysis [1–5]. Development of mathematical methods and data processing software for single photon emission computed tomography (SPECT) and positron emission tomography (PET) remains a challenging problem. The report discusses the methods for radionuclide image processing for dynamic and gated SPECT data [6]. There is a trend toward complete automation of processing and interpretation of radionuclide studies. The report presents the developed data processing software suite for nuclear medicine imaging. In conclusion, the main directions and prospects for the development of nuclear medicine data processing tools are considered.

AB - Abstract: The nuclear physics methods are increasingly important in medicine for the early diagnosis of diseases. Nuclear medicine is one of the most modern methods of non-invasive functional diagnostics, providing information that cannot be acquired with other imaging technologies. Its methods require advanced mathematics for data processing and analysis [1–5]. Development of mathematical methods and data processing software for single photon emission computed tomography (SPECT) and positron emission tomography (PET) remains a challenging problem. The report discusses the methods for radionuclide image processing for dynamic and gated SPECT data [6]. There is a trend toward complete automation of processing and interpretation of radionuclide studies. The report presents the developed data processing software suite for nuclear medicine imaging. In conclusion, the main directions and prospects for the development of nuclear medicine data processing tools are considered.

UR - http://www.scopus.com/inward/record.url?scp=85130059938&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/6553dc5b-4c72-35de-bf84-14edb4da8b9e/

U2 - 10.1134/s1063779622020435

DO - 10.1134/s1063779622020435

M3 - Article

VL - 53

SP - 535

EP - 540

JO - Physics of Particles and Nuclei

JF - Physics of Particles and Nuclei

SN - 1063-7796

IS - 2

ER -

ID: 93901350