A statistical stopping rule for iterative image reconstruction in emission tomography | Sciact - Система учета научной деятельности ИМ СО РАН

A statistical stopping rule for iterative image reconstruction in emission tomography Научная публикация

Журнал

Journal of Inverse and Ill-Posed Problems
ISSN: 0928-0219 , E-ISSN: 1569-3945

Вых. Данные

Год: 2026, DOI: 10.1515/jiip-2024-0071

Ключевые слова

Stopping rule; iterative image reconstruction; emission tomography; OSEM

Авторы

Ruzankin Pavel S. ^1,2 , Denisova Natalya V. ^1,2,3

Организации

1	Sobolev Institute of Mathematics, Novosibirsk, Russia;
2	Novosibirsk State University , Novosibirsk , Russia
3	Khristianovich Institute of Theoretical and Applied Mechanics , Novosibirsk, Russia ;

Информация о финансировании (1)

Министерство науки и высшего образования РФ
Математический центр в Академгородке (ИМ СО РАН)

075-15-2019-1613, 075-15-2022-281

Image reconstruction in medical emission tomography is an inverse ill-posed problem with Poisson data. Iterative regularization using a statistical stopping rule is studied in this paper. We suggest a new approach to estimate the optimal breakpoint for iterative image reconstruction algorithms in emission tomography. The new method is based on the use of the central limit theorem with a highly accurate normal approximation to the distribution of the suggested statistic under the null hypothesis. In the simulations, our method demonstrated accurate estimates for the optimal breakpoint for iterative algorithms.

Ruzankin P.S. , Denisova N.V.
A statistical stopping rule for iterative image reconstruction in emission tomography
Journal of Inverse and Ill-Posed Problems. 2026. DOI: 10.1515/jiip-2024-0071 OpenAlex

Поступила в редакцию:	17 окт. 2024 г.
Принята к публикации:	24 янв. 2026 г.
Опубликована online:	21 февр. 2026 г.

OpenAlex:

W7130648402

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