Abstract
Combined acquisition of transmission and emission data in single-photon emission computed tomography (SPECT) can be used for correction of non-uniform photon attenuation. However, down-scatter from a higher energy isotope (e.g. 99mTc) contaminates lower energy transmission data (e.g. 153Gd, 100 keV), resulting in underestimation of reconstructed attenuation coefficients. Window-based corrections are often not very accurate and increase noise in attenuation maps. We have developed a new correction scheme. It uses accurate scatter modelling to avoid noise amplification and does not require additional energy windows. The correction works as follows: Initially, an approximate attenuation map is reconstructed using down-scatter contaminated transmission data (step 1). An emission map is reconstructed based on the contaminated attenuation map (step 2). Based on this approximate 99mTc reconstruction and attenuation map, down-scatter in the 153Gd window is simulated using accelerated Monte Carlo simulation (step 3). This down-scatter estimate is used during reconstruction of a corrected attenuation map (step 4). Based on the corrected attenuation map, an improved 99mTc image is reconstructed (step 5). Steps 3-5 are repeated to incrementally improve the down-scatter estimate. The Monte Carlo simulator provides accurate down-scatter estimation with significantly less noise than down-scatter estimates acquired in an additional window. Errors in the reconstructed attenuation coefficients are reduced from ca. 40% to less than 5%. Furthermore, artefacts in 99mTc emission reconstructions are almost completely removed. These results are better than for window-based correction, both in simulation experiments and in physical phantom experiments. Monte Carlo down-scatter simulation in concert with statistical reconstruction provides accurate down-scatter correction of attenuation maps.
Original language | English |
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Pages (from-to) | 1173-81 |
Number of pages | 9 |
Journal | European Journal of Nuclear Medicine and Molecular Imaging |
Volume | 31 |
Issue number | 8 |
DOIs | |
Publication status | Published - Aug 2004 |
Keywords
- Algorithms
- Heart
- Image Enhancement
- Image Interpretation, Computer-Assisted
- Monte Carlo Method
- Phantoms, Imaging
- Reproducibility of Results
- Scattering, Radiation
- Sensitivity and Specificity
- Thorax
- Tomography, Emission-Computed, Single-Photon
- Evaluation Studies
- Journal Article
- Research Support, Non-U.S. Gov't
- Validation Studies