Signal processing part II
SIAM Journal on Applied Mathematics
SIAM Journal on Applied Mathematics
Adaptive wavelet-Galerkin methods for limited angle tomography
Image and Vision Computing
Image reconstruction by an alternating minimisation
Neurocomputing
Optimization for limited angle tomography in medical image processing
Pattern Recognition
New sampling scheme for region-of-interest tomography
IEEE Transactions on Signal Processing
Wavelet localization of the Radon transform
IEEE Transactions on Signal Processing
Improvement of low gray-level linearity using perceived luminance of human visual system in PDP-TV
IEEE Transactions on Consumer Electronics
A Kalman filtering approach to stochastic global and region-of-interest tomography
IEEE Transactions on Image Processing
Wavelet-based multiresolution local tomography
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Region-of-interest tomography using exponential radial sampling
IEEE Transactions on Image Processing
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This paper studied region-of-interest (ROI) problem of computed tomography. It is necessary to use almost local projection data to reduce radiation exposure or time in medical imaging when only a small part of the patient's body needs to be viewed. Improving the quality of reconstructed ROI and reducing radiation exposure are our aims. However, the traditional local tomography algorithm has difficulty in reconstructing the ROI due to significant truncation artifacts. In this paper, a new grey model based method is reported for ROI image reconstruction from truncated projection data. By using grey model, the proposed method can extrapolate the truncated projection data, and reconstruct the ROI from a set of its projections. As a result, about 75% of full projection data are saved, as compared with other traditional approachs, in reconstructing a local region of 32 pixels in radius in an image of 256x256 pixels. Experimental results show that the proposed method exhibits more saving in exposure as compared with other local tomography algorithms and results in better quality of the reconstructed image.