Low-count SPECT images are well known to be smoothed strongly by a Butterworth filter for statistical noise reduction. Reconstructed images have a low signal-to-noise ratio (SNR) and spatial resolution because of the removal of high-frequency signal components. Using the developed robust adaptive bilateral filter (RABF), which was designed as a pre-stage filter of the Butterworth filter, this study was conducted to improve SNR without degrading the spatial resolution for low-count SPECT imaging. The filter can remove noise while preserving spatial resolution. To evaluate the proposed method, we extracted SNR and spatial resolution in a phantom study. We also conducted paired comparison for visual image quality evaluation in a clinical study. Results show that SNR was increased 1.4 times without degrading the spatial resolution. Visual image quality was improved significantly (p < 0.01) for clinical low-count data. Moreover, the accumulation structure became sharper. A structure embedded in noise emerged. Our method, which denoises without degrading the spatial resolution for low-count SPECT images, is expected to increase the effectiveness of diagnosis for low-dose scanning and short acquisition time scanning.
CITATION STYLE
Nakabayashi, S., Chikamatsu, T., Okamoto, T., Kaminaga, T., Arai, N., Kumagai, S., … Kotoku, J. (2018). Denoising Projection Data with a Robust Adaptive Bilateral Filter in Low-Count SPECT. International Journal of Medical Physics, Clinical Engineering and Radiation Oncology, 07(03), 363–375. https://doi.org/10.4236/ijmpcero.2018.73030
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