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Hybrid Imaging: Instrumentation and Data Processing

机译:混合成像:仪器仪表和数据处理

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State-of-the-art patient management frequently requires the use of non-invasive imaging methods to assess the anatomy, function or molecular-biological conditions of patients or study subjects. Such imaging methods can be singular, providing either anatomical or molecular information, or they can be combined, thus, providing a??anato-metabolica?? information. Hybrid imaging denotes image acquisitions on systems that physically combine complementary imaging modalities for an improved diagnostic accuracy and confidence as well as for increased patient comfort. The physical combination of formerly independent imaging modalities was driven by leading innovators in the field of clinical research and benefited from technological advances that permitted the operation of PET and MR in close physical proximity, for example. This review covers milestones of the development of various hybrid imaging systems for use in clinical practice and small-animal research. Special attention is given to technological advances that helped the adoption of hybrid imaging, as well as to introducing methodological concepts that benefit from the availability of complementary anatomical and biological information, such as new types of image reconstruction and data correction schemes. The ultimate goal of hybrid imaging is to provide useful, complementary and quantitative information during patient work-up. Hybrid imaging also opens the door to multi-parametric assessment of diseases, which will help us better understand the causes of various diseases that currently contribute to a large fraction of healthcare costs.
机译:最新的患者管理经常需要使用非侵入性成像方法来评估患者或研究对象的解剖结构,功能或分子生物学状况。这样的成像方法可以是单一的,提供解剖或分子信息,或者可以将它们组合在一起,从而提供“代谢产物”。信息。混合成像表示在系统上进行的图像采集,这些系统在物理上结合了互补的成像方式,以提高诊断准确性和置信度,并提高患者的舒适度。以前独立成像方式的物理组合是由临床研究领域的领先创新者推动的,并得益于技术进步,例如,使PET和MR可以在紧密的物理距离内操作。这篇综述涵盖了在临床实践和小动物研究中使用的各种混合成像系统的发展里程碑。特别关注有助于混合成像技术采用的技术进步,以及引入受益于互补的解剖和生物学信息的方法学概念,例如新型图像重建和数据校正方案。混合成像的最终目标是在患者检查期间提供有用的,互补的和定量的信息。混合成像还为疾病的多参数评估打开了大门,这将有助于我们更好地了解目前占医疗成本很大一部分的各种疾病的成因。

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