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Statistical iterative reconstruction (SIR) algorithms have shown advantages over the conventional filtered back-projection method for low-dose computed tomography (CT) reconstruction. For the SIR algorithms, the regularization term plays a critical role on determining the performance. One commonly used regularization is the quadratic-form Gaussian Markov random field (MRF), which penalizes differences...
Many studies have reported that the volume-weighting technique has advantages over the ray-tracing method in re-projection modality and the linear interpolation in back-projection operation for three-dimensional (3D) X-ray computed tomography (CT) imaging. However, the calculation of the intersecting volumes requires a high arithmetic complexity and can be difficult to implement practically. In this...
In single photon emission computed tomography (SPECT), the Poisson noise in sinogram data is one of the major degrading factors that jeopardize the quality of reconstructed images. The common strategy to reduce noise in SPECT images is to apply low-pass pre- or post-processing filters, which suppress the noise by attenuating the high frequency components that can contain valuable edge/detail information...
This paper proposes a novel hierarchical speaker identification method to save the speaker identification and training time, viz. First is to get a coarse decision by a fast scan all registered speakers using PCA classifier to found M possible target speakers; then is to get a final decision by the proposed Multi-Reduced Support Vector Machine (MRSVM). And the MRSVM has two reduction steps to reduce...
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