J0201-2-4 2次元逆畳み込み画像回復に基づく近赤外光線力学断層診断法を用いたDDS評価法の研究(ドラッグデリバリーシステムとその周辺技術の基礎と展開(2))

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Recently, the biomedical tomographic diagnosis using near-infrared fluorescence, which is based on the inverse analysis, has been being highly improved to apply molecular biological techniques to DDS. In this study, a novel photo-dynamic diagnosis system was constructed as "Near-Infrared Photo-Dynamic Computed Diagnosis" (NIR-PDCT). Two excitation lights and a CCD detector are symmetrically located at the same side to object, i.e. reflection-type illumination, taking account of clinical applications. This system provides fluorescence tomographic images from multi-directionally captured intensity distributions emitted from object surface, based on convolution back-projection. In this system, proposed was a 2-dimensional deconvolution technique using directional-splitting shift-variant point spread function (PSF), in order to restore the tomographic image blurred by the light scattering effect having biological tissue. Experimental verification was carried out quantitatively using a bio-phantom embedding single tube of DDS agent AIPcS. Consequently, it was found to be easier to identify a fluorophore, suppressing light scattering degradation by PDCT, and recover fluorophore information, e.g. position and concentration.
社団法人日本機械学会の論文
2009-09-12