1 April 1994 Investigation of smoothing techniques for positron emission tomography imaging
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J. of Electronic Imaging, 3(2), (1994). doi:10.1117/12.171618
Abstract
Recently, many techniques have been introduced to improve on the reconstruction and enhancement of biomedical images, in particular, positron emission tomography. Often these techniques either perform poorly in the presence of noise or are computationally expensive. Nonintensive computational techniques are presented that aim to reduce noise while preserving edges working in conjunction with the filtered convolution back-projection method of reconstruction. First we present an adaptive windowing technique that bases window size on the count value. Then a maximum likelihood technique is developed. Finally, a method of image enhancement based on directional operators and template matching attempts to diminish noise while preserving edges. These techniques are applied both in the image domain and in the sinogram domain and then evaluated using a similarity measure against the original Shepp-Logan phantom.
Jane L. Wurster, Henry Stark, Nikolas P. Galatsanos, "Investigation of smoothing techniques for positron emission tomography imaging," Journal of Electronic Imaging 3(2), (1 April 1994). http://dx.doi.org/10.1117/12.171618
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KEYWORDS
Positron emission tomography

Smoothing

Digital filtering

Convolution

Image filtering

Nonlinear filtering

Image enhancement

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