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27 March 2009 Image quality improvement based on wavelet regularization for cone beam breast CT (CBBCT)
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Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 725929 (2009) https://doi.org/10.1117/12.812919
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Flat-panel detector-based cone beam CT usually employs FDK algorithm as the reconstruction method. Traditionally, the row-wise ramp linear filtering was regularized by noise-suppression windows, such as Shepp-Logan, Hamming windows etc before the backprojection to get the final acceptable (in terms of SNR) reconstructed 3-D volume data. Though noise was reduced, this linear filtering regularized by noise suppression window had the potential to affect the signal spatial resolution and thus to reduce the sharpness of the structure boundaries within the breast image especially impeding the detection of the small calcifications and very small abnormalities that may indicate early breast cancer. Furthermore, the reconstructed images were still characterized by smudges. In order to combat the aforementioned shortcomings, a Wavelet regularization method was conducted on projection data followed by row-wise ramp linear filtering inherited within FDK.
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Dong Yang, Ruola Ning, Xiaohua Zhang, Ricardo Betancourt, and Shaohua Liu "Image quality improvement based on wavelet regularization for cone beam breast CT (CBBCT)", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725929 (27 March 2009); https://doi.org/10.1117/12.812919
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