.png){kind=icon}
Return
A wavelet transform-based photon starvation artifacts suppression algorithm in CT imaging
.png){kind=icon}
PRE
AI
DOI：10.1088/1361-6560/abb171.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In computed tomography, high attenuation occurs when x-rays pass through a dense region or a long path in the scanning object. In this case, only limited photons reach the detector, which causes photon starvation artifacts. The artifacts usually appear as streaks along the directions with high attenuation. It might lower the discrimination of minor structures and lead to misdiagnosis. Applying a local filter to the projection data adaptively is a common solution, however, if the parameters of projection-based filter are not well selected, new artifacts and noise might appear in the final image. In this paper, a post image processing technique was developed to suppress the photon starvation streak artifacts. Based on the directional characteristics of streaks, a semi-adaptive anisotropic diffusion filter was applied to the high frequency sub-bands after wavelet transformation (WASA). Qualitative and quantitative experiments were performed on phantom data and clinical data to prove the effectiveness of this method for photon starvation artifact suppression.
Keywords:
CT
photon starvation
streak artifact
artifact suppression
wavelet transform
anisotropic diffusion
Journal
IF:
3.4
Papers:
1.4W
Citations:
3.1W
Organization
Cited Papers
ShareSave
ShareSaveAn improved anisotropic diffusion filter with semi-adaptive threshold for edge preservation.png)
SIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
ShareSave
View more