Bayesian Image Restoration for Medical Images Using Radon Transform

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概要

• 論文の詳細を見る

• We propose an image reconstruction algorithm using Bayesian inference for Radon transformed observation data, which often appears in the field of medical image reconstruction known as computed tomography (CT). In order to apply our Bayesian reconstruction method, we introduced several hyper-parameters that control the ratio between prior information and the fidelity of the observation process. Since the quality of the reconstructed image is influenced by the estimation accuracy of these hyper-parameters, we propose an inference method for them based on the marginal likelihood maximization principle as well as the image reconstruction method. We are able to demonstrate a reconstruction result superior to that obtained using the conventional filtered back projection method.

• Physical Society of Japanの論文
• 2010-07-15

著者

• Shouno Hayaru

  Department Of Computer Science And Systems Engineering Faculty Of Engineering Yamaguchi University

• Okada Masato

  Graduate School Of Engineering Science Osaka University

• Okada Masato

  Graduate School of Frontier Science, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan

• Shouno Hayaru

  Department of Information and Communication Engineering, University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan

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