Title
Sinogram Blurring Matrix Estimation From Point Sources Measurements With Rank-One Approximation for Fully 3-D PET.
Abstract
An accurate system matrix is essential in positron emission tomography (PET) for reconstructing high quality images. To reduce storage size and image reconstruction time, we factor the system matrix into a product of a geometry projection matrix and a sinogram blurring matrix. The geometric projection matrix is computed analytically and the sinogram blurring matrix is estimated from point source m...
Year
DOI
Venue
2017
10.1109/TMI.2017.2711479
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Kernel,Estimation,Detectors,Photonics,Positron emission tomography,Two dimensional displays,Three-dimensional displays
Kernel (linear algebra),Iterative reconstruction,Field of view,Computer vision,Matrix (mathematics),Image quality,Projection (linear algebra),Artificial intelligence,Scanner,Kernel (image processing),Mathematics
Journal
Volume
Issue
ISSN
36
10
0278-0062
Citations 
PageRank 
References 
3
0.47
9
Authors
6
Name
Order
Citations
PageRank
Kuang Gong1235.10
Jian Zhou241.84
Michel Tohme330.47
Martin Judenhofer430.47
Yongfeng Yang562.21
Jinyi Qi628435.82