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PET/CT是否使软件注册过时?

Does PET/CT render software registration obsolete?

作者信息

Pietrzyk U

机构信息

Institute of Medicine, Research Center Jülich, Brain Imaging Center West (BICW) and Department C--Physics, University of Wuppertal, Germany.

出版信息

Nuklearmedizin. 2005;44 Suppl 1:S13-7.

Abstract

It was the success of software-based image registration that eventually led to the introduction of hardware-based concepts for image fusion, such as combined PET/CT tomographs. A prototype PET/CT was first presented in 1998, with various commercial designs to follow since 2000. PET/ CT is used primarily as a diagnostic modality in the field of extra-cerebral oncology imaging. The major advantage of combined imaging over retrospective software registration is the nearly identical position of the patient during both complementary examination, and therefore tomograms of identical parts of the body can be provided in spatially-corresponding slices. Despite the availability of hardware combinations of complementary imaging modalities software-based image registration, however, still inherits a major role in subsequent data processing, in particular when individual imaging modalities other than combined PET/CT are being used during patient workup. Furthermore, software is likely to become an important tool for the correction of residual motion-induced mis-registration within combined PET/CT data sets, and for follow-up studies involving, for example, CT, PET, and PET/CT. Therefore, flexible algorithms that utilize non-linear interpolation schemes implemented on fast computer systems are needed, and will continue to contribute to successful image registration and fusion in clinical practice.

摘要

正是基于软件的图像配准的成功,最终促使了基于硬件的图像融合概念的引入,例如PET/CT组合断层扫描仪。1998年首次展示了PET/CT原型,自2000年以来有各种商业设计问世。PET/CT主要用作脑外肿瘤成像领域的诊断手段。与回顾性软件配准相比,联合成像的主要优势在于在两种互补检查过程中患者的位置几乎相同,因此可以在空间上对应的切片中提供身体相同部位的断层图像。然而,尽管有互补成像模态的硬件组合,但基于软件的图像配准在后续数据处理中仍然起着重要作用,特别是在患者检查过程中使用除PET/CT组合之外的其他个体成像模态时。此外,软件可能会成为校正PET/CT组合数据集中残余运动引起的配准错误以及涉及例如CT、PET和PET/CT的随访研究的重要工具。因此,需要利用在快速计算机系统上实现的非线性插值方案的灵活算法,并且这些算法将继续有助于临床实践中成功的图像配准和融合。

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