Chow Patrick L, Stout David B, Komisopoulou Evangelia, Chatziioannou Arion F
Crump Institute for Molecular Imaging, University of California, Los Angeles, CA 90095, USA.
Phys Med Biol. 2006 Jan 21;51(2):379-90. doi: 10.1088/0031-9155/51/2/013. Epub 2006 Jan 4.
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.
许多研究机构拥有一整套临床前断层扫描仪,用于在活体中解答生物医学问题。常规多模态成像需要对各种断层扫描仪生成的图像进行可靠的配准。我们为临床前成像实现了一种硬件配准方法,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)扫描仪所使用的方法。我们设计了一个成像室,它可以牢固且可重复地安装在单独的微型PET和微型CT扫描仪上。我们还设计了一个具有1288条线的三维网格体模,用于使用15参数透视模型从软件配准中生成空间变换矩阵。成像室与配准体模协同工作,以实现图像配准目标。我们通过活体小鼠骨扫描验证了两种成像模态之间的平均配准误差为0.335毫米。本文还使用由配准错误的图像生成的衰减校正来估计图像未对准对PET定量的影响。我们的技术预计会产生小于5%的PET定量误差。所提出的方法稳健且适用于高通量动物成像设施的常规使用。