A method of image registration for small animal, multi-modality imaging

A method of image registration for small animal, multi-modality imaging
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DOI:
10.1088/0031-9155/51/2/013
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发表时间:
2006-01-21
影响因子:
3.5
通讯作者:
Chatziioannou, AF
Chatziioannou, AF
中科院分区:
工程技术2区
文献类型:
--
作者:
Chow, PL;Stout, DB;Chatziioannou, AF

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许多研究机构都有一整套临床前断层扫描仪来回答体内的生物医学问题。常规多模态成像需要对由各种断层摄影机生成的图像进行鲁棒配准。我们已经实施了一种用于临床前成像的硬件配准方法,该方法类似于临床中组合正电子发射断层扫描(PET)/计算机断层扫描(CT)扫描仪中使用的方法。我们设计了一个成像室,它可以刚性和可重复地安装在单独的microPET和microCT扫描仪。我们还设计了一个具有1288条线的三维网格体模,该体模用于使用15参数透视模型从软件配准生成空间变换矩阵。成像室与配准体模协同工作,以实现图像配准目标。我们使用体内小鼠骨扫描验证了两种成像模式之间的平均配准误差为0.335 mm。本文还估计的影响,PET定量使用从配准不良的图像产生的衰减校正图像错位。我们的技术预计将产生小于5%的PET定量误差。所提出的方法是稳健的,适合于在高通量动物成像设施中的常规使用。
Many research institutions have a full suite of preclinical tomographic scanners to answer biomedical questions in vivo. Routine multi-modality imaging requires robust registration of images generated by various tomographs. We have implemented a hardware registration method for preclinical imaging that is similar to that used in the combined positron emission tomography (PET)/computed tomography (CT) scanners in the clinic. We designed an imaging chamber which can be rigidly and reproducibly mounted on separate microPET and microCT scanners. We have also designed a three-dimensional grid phantom with 1288 lines that is used to generate the spatial transformation matrix from software registration using a 15-parameter perspective model. The imaging chamber works in combination with the registration phantom synergistically to achieve the image registration goal. We verified that the average registration error between two imaging modalities is 0.335 mm using an in vivo mouse bone scan. This paper also estimates the impact of image misalignment on PET quantitation using attenuation corrections generated from misregistered images. Our technique is expected to produce PET quantitation errors of less than 5%. The methods presented are robust and appropriate for routine use in high throughput animal imaging facilities.