发射和透射全身闪烁相机图像的配准。

Sjögreen K, Ljungberg M, Wingårdh K, Erlandsson K, Strand S E

Department of Radiation Physics, Jubileum Institute, University Hospital, Lund University, SE-22185 Lund, Sweden.

J Nucl Med. 2001 Oct;42(10):1563-70.

UNLABELLED

In this work, a method for registration of whole-body (WB) scintillation-camera images is presented. The primary motive for the development is to perform activity quantification using the conjugate view method on an image basis. Accurate image registration is required for sequential anterior and posterior scans, for serial emission images for analysis of the biokinetics, and for transmission and emission images for a pixel-based attenuation correction.

METHODS

Registration is performed by maximization of the mutual information. The spatial transformation has been tailored for the registration of WB images and is composed of global and local transformations, including rigid, projective, and curved transformations. A coarse registration is first performed using cross-correlation and direct pixel scaling. Optimization is then performed in a sequence, beginning with the 2 legs independently, followed by the upper body and head. Evaluation is performed for clinical images of an (131)I-labeled monoclonal antibody and for Monte Carlo-simulated images. An anthropomorphic WB computer phantom, which has been especially modified to match the patient position during WB scanning, is used for the simulations.

RESULTS

For simulated images, registration errors are within 1 pixel (<3.6 mm) for a sufficient image count level. Separate evaluation of the influence of noise shows that the errors increase below a total image count of approximately 10(5) (signal-to-noise ratio, approximately 4). For clinical evaluations, the deviations between point markers are 9 +/- 5 mm.

CONCLUSION

An automatic registration method for WB images has been developed, which is applicable to emission-emission and transmission-emission registration. This method has been applied in more than 50 clinical studies and has shown to be robust and reliable.

未标注

在这项工作中，提出了一种全身闪烁相机图像配准方法。开发该方法的主要动机是在图像基础上使用共轭视图法进行活度定量。对于前后序贯扫描、用于生物动力学分析的系列发射图像以及用于基于像素的衰减校正的透射和发射图像，都需要精确的图像配准。

方法

通过最大化互信息进行配准。空间变换是针对全身图像配准量身定制的，由全局和局部变换组成，包括刚性、投影和曲线变换。首先使用互相关和直接像素缩放进行粗配准。然后依次进行优化，先独立处理双腿，接着是上半身和头部。对（131）I标记单克隆抗体的临床图像和蒙特卡罗模拟图像进行评估。使用一个经过特别修改以匹配全身扫描时患者位置的拟人化全身计算机体模进行模拟。