Aim of this work is to experimentally investigate the potential of a novel technique for CR image restoration which make use of gradient descent algorithm to minimize a local error function derived from the conventional global constrained error measure adopted within regularization approaches. Results of preliminary experiments show that the proposed restoration algorithm is promising for medical imaging restoration and could be useful in limiting x-ray dose absorbed by patients.
Neural Adaptive Restoration of Computed Radiography Images
BINAGHI, ELISABETTA;COLLI, VITTORIA;GALLO, IGNAZIO;
2009-01-01
Abstract
Aim of this work is to experimentally investigate the potential of a novel technique for CR image restoration which make use of gradient descent algorithm to minimize a local error function derived from the conventional global constrained error measure adopted within regularization approaches. Results of preliminary experiments show that the proposed restoration algorithm is promising for medical imaging restoration and could be useful in limiting x-ray dose absorbed by patients.
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