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Evaluation of an efficient compensation method for quantitative fan-beam brain SPECT reconstruction
- Source :
- IEEE transactions on medical imaging. 24(2)
- Publication Year :
- 2005
-
Abstract
- Fan-beam collimators are designed to improve the system sensitivity and resolution for imaging small objects such as the human brain and breasts in single photon emission computed tomography (SPECT). Many reconstruction algorithms have been studied and applied to this geometry to deal with every kind of degradation factor. This paper presents a new reconstruction approach for SPECT with circular orbit, which demonstrated good performance in terms of both accuracy and efficiency. The new approach compensates for degradation factors including noise, scatter, attenuation, and spatially variant detector response. Its uniform attenuation approximation strategy avoids the additional transmission scan for the brain attenuation map, hence reducing the patient radiation dose and furthermore simplifying the imaging procedure. We evaluate and compare this new approach with the well-established ordered-subset expectation-maximization iterative method, using Monte Carlo simulations. We perform quantitative analysis with regional bias-variance, receiver operating characteristics, and Hotelling trace studies for both methods. The results demonstrate that our reconstruction strategy has comparable performance with a significant reduction of computing time.
- Subjects :
- Iterative method
Physics::Medical Physics
Monte Carlo method
Iterative reconstruction
Single-photon emission computed tomography
Sensitivity and Specificity
Artificial Intelligence
Image Interpretation, Computer-Assisted
medicine
Humans
Computer vision
Electrical and Electronic Engineering
Mathematics
Tomography, Emission-Computed, Single-Photon
Radiological and Ultrasound Technology
medicine.diagnostic_test
Noise (signal processing)
business.industry
Phantoms, Imaging
Attenuation
Detector
Brain
Reproducibility of Results
Numerical Analysis, Computer-Assisted
Image Enhancement
Computer Science Applications
Transmission Scan
Artificial intelligence
business
Software
Algorithms
Subjects
Details
- ISSN :
- 02780062
- Volume :
- 24
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on medical imaging
- Accession number :
- edsair.doi.dedup.....a5fe52ff615adb7060a919ca4cf0a7b4