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超高分辨率微型单光子发射计算机断层扫描与锥形束微型计算机断层扫描扫描仪之间的精确配准

Accurate Coregistration between Ultra-High-Resolution Micro-SPECT and Circular Cone-Beam Micro-CT Scanners.

作者信息

Ji Changguo, van der Have Frans, Gratama van Andel Hugo, Ramakers Ruud, Beekman Freek

机构信息

Image Sciences Institute and Rudolf Magnus Institute, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands.

出版信息

Int J Biomed Imaging. 2010;2010:654506. doi: 10.1155/2010/654506. Epub 2010 Oct 5.

Abstract

Introduction. Spatially registering SPECT with CT makes it possible to anatomically localize SPECT tracers. In this study, an accurate method for the coregistration of ultra-high-resolution SPECT volumes and multiple cone-beam CT volumes is developed and validated, which does not require markers during animal scanning. Methods. Transferable animal beds were developed with an accurate mounting interface. Simple calibration phantoms make it possible to obtain both the spatial transformation matrix for stitching multiple CT scans of different parts of the animal and to register SPECT and CT. The spatial transformation for image coregistration is calculated once using Horn's matching algorithm. Animal images can then be coregistered without using markers. Results. For mouse-sized objects, average coregistration errors between SPECT and CT in X, Y, and Z directions are within 0.04 mm, 0.10 mm, and 0.19 mm, respectively. For rat-sized objects, these numbers are 0.22 mm, 0.14 mm, and 0.28 mm. Average 3D coregistration errors were within 0.24 mm and 0.42 mm for mouse and rat imaging, respectively. Conclusion. Extending the field-of-view of cone-beam CT by stitching is improved by prior registration of the CT volumes. The accuracy of registration between SPECT and CT is typically better than the image resolution of current ultra-high-resolution SPECT.

摘要

引言。将单光子发射计算机断层扫描(SPECT)与计算机断层扫描(CT)进行空间配准,能够在解剖学上定位SPECT示踪剂。在本研究中,开发并验证了一种用于超高分辨率SPECT体积数据与多个锥形束CT体积数据进行配准的精确方法,该方法在动物扫描过程中无需使用标记物。方法。开发了具有精确安装接口的可转移动物床。简单的校准体模使得获取用于拼接动物不同部位的多个CT扫描图像的空间变换矩阵以及配准SPECT和CT成为可能。使用霍恩匹配算法一次性计算图像配准的空间变换。然后无需使用标记物即可对动物图像进行配准。结果。对于小鼠大小的物体,SPECT与CT在X、Y和Z方向上的平均配准误差分别在0.04毫米、0.10毫米和0.19毫米以内。对于大鼠大小的物体,这些数值分别为0.22毫米、0.14毫米和0.28毫米。小鼠和大鼠成像的平均三维配准误差分别在0.24毫米和0.42毫米以内。结论。通过CT体积数据的预先配准,可改善通过拼接来扩展锥形束CT视野的效果。SPECT与CT之间的配准精度通常优于当前超高分辨率SPECT的图像分辨率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d1c/2952907/1a745f00f904/IJBI2010-654506.001.jpg

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