A fourier approach to the natural pixel discretization of brain single-photon emission computed tomography

International Journal of Imaging Systems and Technology

Volumn 12, Issue 1, 2002, Pages 1-8

  Bindi, D ^a   Brianzi, P ^b   Di Benedetto, F ^b  

^a INFM   (Italy)

^b UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL GEOMETRY; FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; INTERPOLATION; INVERSE PROBLEMS; PHOTONS;

SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY (SPECT);

COMPUTERIZED TOMOGRAPHY;

EID: 0036173447     PISSN: 08999457     EISSN: None     Source Type: Journal    
DOI: 10.1002/ima.10003     Document Type: Article

References (19)

1. Linear inverse problems with discrete data. I: General formulation and singular system analysis
2. Tomographic reconstruction and estimation based on multiscale natural-pixel basis
3. The 2D + 1 method for an efficient modeling of collimator blur in 3D SPECT imaging
4. A simple model for the efficient correction of collimator blur in 3D SPECT imaging
5. A natural pixel decomposition for two-dimensional image reconstruction
6. Exploiting matrix structures in SPECT models
7. Theoretical determination of the collimator geometrical transfer function for the reconstruction of SPECT data
8. FFTW: An adaptive software architecture for the FFT
9. An SVD algorithm using a natural pixel representation of the attenuated Radon transform
10. A reconstruction algorithm using singular value decomposition of a discrete representation of the exponential Radon transform using natural pixels
11. 3-D phantom to simulate cerebral blood flow and metabolic images for PET
12. Image reconstruction using a generalized natural pixel basis
13. Projection space image reconstruction using strip functions to calculate pixels more "natural" for modeling the geometric response of the SPECT collimator
14. A direct algebraic algorithm in computerized tomography
15. LSQR: An algorithm for sparse linear equations and sparse least squares
16. The geometric transfer function for cone and fan bean collimators