NDLI: Finite aperture modeling in small animal pinhole SPECT imaging

Content Provider	IEEE Xplore Digital Library
Author	Po-Chia Huang Ching-Han Hsu
Copyright Year	2004
Description	Author affiliation: Nat. Tsing Hua Univ., Hsinchu, Taiwan (Po-Chia Huang; Ching-Han Hsu)
Abstract	Accurate system modeling of photon acquisition process is essential for optimizing quality in pinhole SPECT imaging. Conventional pinhole SPECT imaging assumes ideal pinhole geometry. However, neglect of pinhole finite aperture could lead to unfavorable quality degradations, such as positioning bias and image distortion. In this work, we develop a system model in which the aperture width of a pinhole collimator is explicitly included. The system model describes the probability of a single photon from its emission to detection. The probability value is calculated based on the effective intersection area resulting from a simulated cone-beam light source emitting from the image voxel, passing through finite aperture, and reaching at detector's frontal face. The proposed model is also integrated with the ordered subsets expectation maximization (OSEM) algorithm for fast 3D statistical image reconstruction. Monte-Carlo based phantom experiments are used to evaluate the performance of the proposed system model compared to the ideal pinhole model. Reconstructed image results demonstrate that the proposed model can improve image quality in terms of reducing location bias and maintaining better contrast recovery.
Starting Page	3454
Ending Page	3457
File Size	642927
Page Count	4
File Format	PDF
ISBN	0780387007
ISSN	10823654
e-ISBN	0780387015
DOI	10.1109/NSSMIC.2004.1466630
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Apertures Animals Single photon emission computed tomography Face detection Image reconstruction Modeling Information geometry Degradation Collimators Probability
Content Type	Text
Resource Type	Article

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