학술논문

Slab-by-slab blurring model for geometric point response correction and attenuation correction using iterative reconstruction algorithms
Document Type
Conference
Source
1997 IEEE Nuclear Science Symposium Conference Record Nuclear science Nuclear Science Symposium, 1997. IEEE. 2:1371-1375 vol.2 1997
Subject
Nuclear Engineering
Power, Energy and Industry Applications
Fields, Waves and Electromagnetics
Engineered Materials, Dielectrics and Plasmas
Solid modeling
Image reconstruction
Single photon emission computed tomography
Attenuation
Image resolution
Spatial resolution
Optical computing
Reconstruction algorithms
Slabs
Convolution
Language
ISSN
1082-3654
Abstract
The distance-dependent geometric point response of a single photon emission computed tomographic (SPECT) system and the attenuation effect of photons passing through the object are modeled in an iterative OS-EM reconstruction algorithm to improve both the resolution and quantitative accuracy of the reconstructed images. In this paper, an efficient incremental slab-by-slab blurring model was introduced to speed up the reconstruction. A specified number of neighboring vertical slices are grouped into a slab. Slab-by-slab blurring, rather than slice-by-slice blurring, is performed to reduce the convolution times for both projector and backprojector which model the geometric point response of the system. The key advantage of this slab-by-slab blurring model over the slice-by-slice model is that the computational time can be significantly reduced while still maintaining the spatial resolution and quantitative accuracy of the reconstructed images. The application of this incremental slab-by-slab blurring model, incorporated with a model for attenuation, to the image reconstruction of patient SPECT data shows improved resolution and contrast over the images reconstructed without the corrections; it also shows much less computational time for the reconstruction than the slice-by-slice implementation.