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一项使用基于块匹配算法的CT、MR和PET图像配准准确性的体模研究。

A phantom study of the accuracy of CT, MR and PET image registrations with a block matching-based algorithm.

作者信息

Isambert A, Bonniaud G, Lavielle F, Malandain G, Lefkopoulos D

机构信息

Service de physique médicale, institut Gustave-Roussy, 39, rue Camille-Desmoulins, 94805 Villejuif, France.

出版信息

Cancer Radiother. 2008 Dec;12(8):800-8. doi: 10.1016/j.canrad.2008.04.009. Epub 2008 Jun 20.

Abstract

PURPOSE

The aim of the present study was to quantitatively assess the performance of a block matching-based automatic registration algorithm integrated within the commercial treatment planning system designated ISOgray from Dosisoft. The accuracy of the process was evaluated by a phantom study on computed tomography (CT), magnetic resonance (MR) and positron emission tomography (PET) images.

MATERIALS AND METHODS

Two phantoms were used to carry out this study: the cylindrical Jaszczak phantom and the anthropomorphic Liqui-Phil Head Phantom (the Phantom Laboratory), containing fillable spheres. External fiducial markers were used to quantify the accuracy of 41 CT/CT, MR/CT and PET/CT automatic registrations with images of the rotated and tilted phantoms.

RESULTS

The study first showed that a cylindrical phantom was not adapted for the evaluation of the performance of a block matching-based registration software. Secondly, the Liqui-Phil Head Phantom study showed that the algorithm was able to perform automatic registrations of CT/CT and MR/CT images with differences of up to 40 degrees in phantom rotation and of up to 20-30 degrees for PET/CT with accuracy below the image voxel size.

CONCLUSION

The study showed that the block matching-based automatic registration software under investigation was robust, reliable and yielded very satisfactory results. This phantom-based test can be integrated into a periodical quality assurance process and used for any commissioning of image registration software for radiation therapy.

摘要

目的

本研究的目的是定量评估集成在Dosisoft公司指定的商业治疗计划系统ISOgray中的基于块匹配的自动配准算法的性能。通过对计算机断层扫描(CT)、磁共振(MR)和正电子发射断层扫描(PET)图像进行体模研究来评估该过程的准确性。

材料与方法

使用两个体模进行本研究:圆柱形的Jaszczak体模和含可填充球体的拟人化Liqui-Phil头部体模(体模实验室)。使用外部基准标记来量化41次CT/CT、MR/CT和PET/CT自动配准与旋转和倾斜体模图像的准确性。

结果

该研究首先表明圆柱形体模不适用于评估基于块匹配的配准软件的性能。其次,Liqui-Phil头部体模研究表明,该算法能够对CT/CT和MR/CT图像进行自动配准,体模旋转差异高达40度,PET/CT差异高达20 - 30度,且准确性低于图像体素大小。

结论

该研究表明所研究的基于块匹配的自动配准软件稳健、可靠且产生了非常令人满意的结果。这种基于体模的测试可纳入定期质量保证过程,并用于放射治疗图像配准软件的任何调试。

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