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- Title
Effect of Gaussian Smoothing Filter Size for CT-Based Attenuation Correction on Quantitative Assessment of Bone SPECT/CT: A Phantom Study.
- Authors
Tomita, Yoya; Ichikawa, Yasutaka; Hashizume, Kengo; Sakuma, Hajime
- Abstract
This study aims to determine the effect of Gaussian filter size for CT-based attenuation correction (CTAC) on the quantitative assessment of bone SPECT. An experiment was performed using a cylindrical phantom containing six rods, of which one was filled with water and five were filled with various concentrations of K2HPO4 solution (120–960 mg/cm3) to simulate different bone densities. 99mTc-solution of 207 kBq/ml was also included within the rods. SPECT data were acquired at 120 views for 30 s/view. CT for attenuation correction were obtained at 120 kVp and 100 mA. Sixteen different CTAC maps processed with different Gaussian filter sizes (ranging from 0 to 30 mm in 2 mm increments) were generated. SPECT images were reconstructed for each of the 16 CTAC maps. Attenuation coefficients and radioactivity concentrations in the rods were compared with those in the water-filled rod without K2HPO4 solution as a reference. Gaussian filter sizes below 14–16 mm resulted in an overestimation of radioactivity concentrations for rods with high concentrations of K2HPO4 (≥ 666 mg/cm3). The overestimation of radioactivity concentration measurement was 3.8% and 5.5% for 666 mg/cm3 and 960 mg/cm3 K2HPO4 solutions, respectively. The difference in radioactivity concentration between the water rod and the K2HPO4 rods was minimal at 18–22 mm. The use of Gaussian filter sizes smaller than 14–16 mm caused an overestimation of radioactivity concentration in regions of high CT values. Setting the Gaussian filter size to 18–22 mm enables radioactivity concentration to be measured with the least influence on bone density.
- Subjects
DIGITAL image processing; BONES; RADIOACTIVITY; DIAGNOSTIC imaging; SINGLE-photon emission computed tomography; DESCRIPTIVE statistics; BONE density; IMAGING phantoms
- Publication
Journal of Digital Imaging, 2023, Vol 36, Issue 5, p2313
- ISSN
0897-1889
- Publication type
Article
- DOI
10.1007/s10278-023-00864-3