Noise Reduction in SPECT Imaging Using Angular Stackgram Filtering
Author Information
Author(s): Antti P. Happonen, Matti O. Koskinen
Primary Institution: Tampere University Hospital
Hypothesis
Can angular stackgram filtering improve noise reduction in SPECT imaging compared to traditional radial sinogram filtering?
Conclusion
Angular stackgram filtering with nonlinear filters provides better resolution-noise tradeoff than radial sinogram filtering.
Supporting Evidence
- Stackgram filtering tends to leave a more 'powdery' noise structure in images compared to radial filtering.
- Stackgram filtering with nonlinear filters provides the best resolution-noise tradeoff.
- Angular filtering does not introduce conventional blurring to the reconstructed images.
Takeaway
This study looks at two ways to clean up images from a special type of scan. One way works better at keeping the details while reducing the noise.
Methodology
The study compared radial sinogram filtering and angular stackgram filtering using physical SPECT phantoms and various linear and nonlinear filters.
Limitations
The study does not develop optimal stackgram-based filters and assumes uniform resolution for the filtering approaches.
Digital Object Identifier (DOI)
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