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Denoising algorithm reduces radiation exposure.
2004 AUG 5 - (NewsRx.com & NewsRx.net) -- University of Rochester, New York, radiologists have proposed a denoising algorithm that reduces radiation exposure of a patient undergoing cone-beam computed tomography scan for breast cancer while still yielding good image quality.
"It was recently reported that the real-time flat panel detector-based cone-beam computed tomography (CBCT) breast imaging can help improve the delectability of small breast tumors with an X-ray dose comparable to that of the conventional mammography," wrote J.M. Zhong and colleagues.
Their "wavelet-based denoising algorithm possesses three significant characteristics," they said:
"1) wavelet coefficients at each scale are classified into two categories: irregular coefficients and edge-related and regular coefficients;
2) noise in irregular coefficients is reduced as much as possible without producing artifacts to the denoised images; and
3) for the edge-related and regular coefficients, if they are at the first decomposition level, they are further denoised, otherwise, no modifications are made to them so as to obtain good visual quality for diagnosis."
Zhong and team said that "[b]y ...
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