Digital Image Processing in Nuclear Medicine

Kotina, E. D.; Ploskikh, Victor; Shirokolobov, Alexander Yu.

doi:10.1134/s1063779622020435

Cited by 2 publications

(2 citation statements)

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“…An application of the described algorithm can be useful for different image processing fields, such as movement detection and its correction, tracing movement trajectory, constructing contours on an image, analyzing images and so on. Given approach is of a particular interest for processing radionuclide research data [Ovsyannikov, Kotina and Shirokolobov, 2013;Ploskikh and Kotina, 2021;Kotina, Ploskikh and Shirokolobov, 2022], for obtaining visual as well as quantitative information when diagnostic images are analyzed.…”

Section: Discussionmentioning

confidence: 99%

“…Concerning image processing tasks the given problem is known as the problem of optical flow construction for successive images [Horn and Schunck,1981;Lucas and Kanade, 1981;Anandan, 1989;Fleet and Weiss, 2005;Papenberg, et.al., 2006]. Images processing and analysis including deter-mining the velocity field are actual for medical diagnostics, robotics, computer vision, which includes methods of tracing objects in digital images, space researches, investigations of the arctic ice movement, as well as an analysis of transport flows [Kotina, Ploskikh and Shirokolobov, 2022;Gecha, et.al., 2020;Kopenkov and Myasnikov, 2014].…”

Section: Introductionmentioning

confidence: 99%

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Optimization approach to the velocity field determining problem

Kotina

Ovsyannikov

Elizarova

2022

CAP

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A reconstruction of the velocity field is of current interest for different theoretical and practical problems. In the presented work the optimization method of the velocity field construction for successive images is developed and generalized using the concepts of trajectory beam (an ensemble of trajectories), a distribution density function (brightness), and a quality functional. A new formulation of the problem is proposed with the splitting of the initial image to subsets and taking into account a temporal variation. Analytical expressions of the variation and gradient of the investigated functional are given, allowing one to construct various directed optimization methods. The proposed approach can be used for determining the velocity field within different tasks, particularly, for the problems of diagnostic image processing.

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Section: Discussionmentioning

confidence: 99%