零空間補正と最大帰納確率法を用いた光CTの画像再構成

概要

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Optical tomography is a new modality of non invasive measurement of physiological information, and some algorithms using the technique of the ill-posed inverse problem have been developed to obtain images. These algorithms, however, are still at the early stage and significant improvement is expected to obtain better images toward practical and clinical applications. This paper describes the rationale of a novel image reconstruction method that estimates the nullspace contribution using prior knowledge in a maximum-a posteriori-probability (MAP) framework. We illustrate and verify our concept for two cases of optical tomographic reconstruction ; one using simulated and the other using experimental data. The improvement by using our nullspace-MAP algorithm over the conventional Newton-Raphson scheme is found to be significant for the two examples.
社団法人日本機械学会の論文
1999-05-25