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An Overview of Biomedical Imaging

Ramesh C. Gupta

Biomedical imaging is critically important for life science and health care. In this rapidly developing field, mathematics is one of the most powerful tools for developing image reconstruction as well as image processing theory and methods. Many of the innovations in biomedical imaging are fundamentally related to the mathematical sciences. With improvements of traditional imaging systems and emergence of novel imaging modalities such as molecular imaging towards molecular medicine, imaging equations that link measurements to original images become increasingly more complex to reflect the reality up to an ever-improving accuracy. Mathematics becomes increasingly useful and leads to a new array of interdisciplinary and challenging research opportunities. The future biomedical imaging will include advanced mathematical methods as major features.

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化学文摘社 (CAS)
谷歌学术
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学术钥匙
研究圣经
全球影响因子 (GIF)
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电子期刊图书馆
参考搜索
哈姆达大学
国际组织研究所 (I2OR)
宇宙
日内瓦医学教育与研究基金会
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