Daisne Jean-François, Sibomana Mérence, Bol Anne, Cosnard Guy, Lonneux Max, Grégoire Vincent
Department of Radiation Oncology, Université catholique de Louvain, St-Luc University Hospital, B-1200 Brussels, Belgium.
Radiother Oncol. 2003 Dec;69(3):237-45. doi: 10.1016/j.radonc.2003.10.009.
In radiotherapy planning of head and neck tumors, coregistration of various anatomical (e.g. CT and MRI) and functional (e.g. PET) images is a promising way to improve the delineation of the target volumes. In this paper, we report data on accuracy, reproducibility and consistency of an interactive coregistration procedure in a specifically designed phantom and in a group of patients with primary head and neck tumors.
A phantom and a group of four patients with pharyngo-laryngeal tumors were imaged by CT scan (taken as the reference image), MRI (T1- and T2-weighed sequences) and PET (transmission and FDG emission). Sets of images were coregistered using an interactive rigid coregistration method based on interactive surface segmentation. Translational and rotational displacements relative to the reference CT scan were measured and expressed in terms of accuracy, reproducibility (inter- and intra-observer variation) and consistency (between T1- and T2-weighed MRI).
Coregistration accuracy was in the range of 0.8-6.2 mm and 1.2-4.6 mm for the phantom and the patients, respectively. Accuracy was slightly worse in the z direction, and was significantly correlated with the spatial resolution of the imaging modalities, at least for the phantom. Inter- and intra-observer variations were very small and always far below the residual variance. Consistency was perfect except in the y direction.
Providing adequate set-up is chosen, accurate coregistration of CT, MR and FDG-PET images can be obtained in the head and neck area. Coregistration was consistent and highly reproducible among observers.
在头颈部肿瘤的放射治疗计划中,对各种解剖学(如CT和MRI)和功能学(如PET)图像进行配准是改善靶区勾画的一种很有前景的方法。在本文中,我们报告了在一个专门设计的模体以及一组原发性头颈部肿瘤患者中,一种交互式配准程序的准确性、可重复性和一致性的数据。
对一个模体和一组4名头颈部肿瘤患者进行CT扫描(作为参考图像)、MRI(T1加权和T2加权序列)以及PET(透射和FDG发射)成像。使用基于交互式表面分割的交互式刚性配准方法对图像集进行配准。测量相对于参考CT扫描的平移和旋转位移,并以准确性、可重复性(观察者间和观察者内变异)和一致性(T1加权和T2加权MRI之间)来表示。
模体和患者的配准准确性分别在0.8 - 6.2 mm和1.2 - 4.6 mm范围内。在z方向上准确性略差,并且至少对于模体而言,与成像模态的空间分辨率显著相关。观察者间和观察者内变异非常小,并且总是远低于残余方差。除了在y方向外,一致性良好。
如果选择了合适的设置,在头颈部区域可以实现CT、MR和FDG - PET图像的准确配准。配准在观察者之间是一致且高度可重复的。