Convolutional model enables fast, memory-efficient forward and back-projection for fan-beam CT reconstruction, outperforming LTRI and SF for pixel basis.
Multidimensional digital image represen tations using generalized kaiser–bessel window functions
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry
Convolutional model enables fast, memory-efficient forward and back-projection for fan-beam CT reconstruction, outperforming LTRI and SF for pixel basis.