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[小动物多模态生物医学成像的进展]

[Advances in multimodal biomedical imaging of small animals].

作者信息

Deng Zhengyan, Xi Peng, Tang Juan, Ren Qiushi, Yu Yuanjun

机构信息

Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, P. R. China.

Chongqing Technical Center for Durg Evaluation & Inspection, Chongqing 401120, P. R. China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Aug 25;42(4):841-846. doi: 10.7507/1001-5515.202406024.

Abstract

Small animal multimodal biomedical imaging refers to the integration of multiple imaging techniques within the same system or device to acquire comprehensive physiological and pathological information of small animals, such as mice and rats. With the continuous advancement of biomedical research, this cutting-edge technology has attracted extensive attention. Multimodal imaging techniques, based on diverse imaging principles, overcome the limitations of single-modal imaging through information fusion, significantly enhancing the overall system's sensitivity, temporal/spatial resolution, and quantitative accuracy. In the future, the integration of new materials and artificial intelligence will further boost its sensitivity and resolution. Through interdisciplinary innovation, this technology is expected to become the core technology of personalized medicine and expand its applications to drug development, environmental monitoring, and other fields, thus reshaping the landscape of biomedical research and clinical practice. This review summarized the progress on the application and investigation of multimodal biomedical imaging techniques, and discussed its development in the future.

摘要

小动物多模态生物医学成像指的是在同一系统或设备内整合多种成像技术,以获取小鼠和大鼠等小动物的全面生理和病理信息。随着生物医学研究的不断进步,这项前沿技术已引起广泛关注。基于不同成像原理的多模态成像技术,通过信息融合克服了单模态成像的局限性,显著提高了整个系统的灵敏度、时空分辨率和定量准确性。未来,新材料与人工智能的融合将进一步提升其灵敏度和分辨率。通过跨学科创新,这项技术有望成为个性化医疗的核心技术,并将其应用扩展到药物研发、环境监测等领域,从而重塑生物医学研究和临床实践的格局。本文综述了多模态生物医学成像技术的应用与研究进展,并探讨了其未来发展。

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[Advances in multimodal biomedical imaging of small animals].[小动物多模态生物医学成像的进展]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Aug 25;42(4):841-846. doi: 10.7507/1001-5515.202406024.

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