Multi-molecule imaging and inter-molecular imaging in nuclear medicine

IF 1.2 Q3 Computer Science Bio-Algorithms and Med-Systems Pub Date : 2022-12-01 DOI:10.2478/bioal-2022-0081
K. Shimazoe, M. Uenomachi
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引用次数: 2

Abstract

Multi-molecule imaging and inter-molecular imaging are not fully implemented yet, however, can become an alternative in nuclear medicine. In this review article, we present arguments demonstrating that the advent of the Compton positron emission tomography (Compton-PET) system and the invention of the quantum chemical sensing method with double photon emission imaging (DPEI) provide realistic perspectives for visualizing inter-molecular and multi-molecule in nuclear medicine with MeV photon. In particular, the pH change of InCl3 solutions can be detected and visualized in a three-dimensional image by combining the hyperfine electric quadrupole interaction sensing and DPEI. Moreover, chemical states, such as chelating, can be detected through angular correlation sensing. We argue that multi-molecule and chemical sensing could be a realistic stream of research in future nuclear medicine.
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核医学中的多分子成像和分子间成像
多分子成像和分子间成像尚未完全实现,但可以成为核医学的一种替代方法。在这篇综述文章中,我们提出的观点表明,康普顿正电子发射断层扫描(康普顿- pet)系统的出现和双光子发射成像(DPEI)量子化学传感方法的发明为利用MeV光子可视化核医学中的分子间和多分子提供了现实的视角。特别是,将超精细电四极相互作用传感与DPEI相结合,可以检测并可视化三维图像中InCl3溶液的pH变化。此外,化学状态,如螯合,可以通过角相关传感检测。我们认为,多分子和化学传感可能是未来核医学研究的一个现实流。
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来源期刊
Bio-Algorithms and Med-Systems
Bio-Algorithms and Med-Systems MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
3.80
自引率
0.00%
发文量
3
期刊介绍: The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English. Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient''s electronic record Image processing Medical databases.
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