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MAP EM image reconstruction using k-nearest neighbor method in emission CT

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2 Author(s)
Uchiyama, Y. ; Dept. of Electr. Eng., Hosei Univ., Tokyo, Japan ; Ogawa, K.

P.J. Green (1990) and K. Lange (1990) have proposed maximum a posteriori (MAP) estimation methods using the expectation maximization (EM) algorithm. The Gibbs prior used in the algorithm penalized the difference between neighboring pixel values in a fixed-size neighborhood. Therefore, the edge property of a reconstructed image could not be preserved in an edge area. In order to preserve the edge property, the authors propose a MAP EM image reconstruction using a k-nearest neighbour method. The neighborhood is selected using the k-nearest neighbor method. Simulation results showed that reconstructed images using the proposed method had higher quality than that obtained using the conventional MAP EM method with the fixed-size neighborhood, especially in a noise-free model

Published in:

Nuclear Science Symposium and Medical Imaging Conference, 1992., Conference Record of the 1992 IEEE

Date of Conference:

25-31 Oct 1992