Physical bases for determination of scattering kernels from incomplete data in grid-less X-ray imaging

Physical bases for determination of scattering kernels from incomplete data in grid-less X-ray imaging

A mathematical model for the determination of X-ray scattering kernels’ shapes based on incomplete simulation or measurement data was introduced and tested using a mathematical phantom. The model is originally intended for low-dose X-ray imaging without anti-scatter grids. The proposed model fits di...

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Bibliographic Details
Main Authors:	A. Yu. Danyk, O. O. Sudakov
Format:	Article
Language:	English
Published:	Institute for Nuclear Research, National Academy of Sciences of Ukraine 2021-06-01
Series:	Âderna Fìzika ta Energetika
Subjects:	x-ray image scattered x-ray radiation convolution kernels clustering analysis segmentation monte-carlo simulation approximation incomplete data.
Online Access:	http://jnpae.kinr.kiev.ua/22.2/Articles_PDF/jnpae-2021-22-0189-Danyk.pdf

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