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Acceptance Test of a Commercially Available Software for Automatic Image Registration of Computed Tomography (CT), Magnetic Resonance Imaging (MRI) And 99mTc-methoxyisobutylisonitrile (MIBI) Single-Photon Emission Computed Tomography (SPECT) Brain Images

机译:用于计算机断层扫描(CT),磁共振成像(MRI)和99mTc-甲氧基异丁基异腈(MIBI)单光子发射计算机断层扫描(SPECT)脑图像的自动图像配准的商用软件的验收测试

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摘要

This note describes a method to characterize the performances of image fusion software (Syntegra) with respect to accuracy and robustness. Computed tomography (CT), magnetic resonance imaging (MRI), and single-photon emission computed tomography (SPECT) studies were acquired from two phantoms and 10 patients. Image registration was performed independently by two couples composed of one radiotherapist and one physicist by means of superposition of anatomic landmarks. Each couple performed jointly and saved the registration. The two solutions were averaged to obtain the gold standard registration. A new set of estimators was defined to identify translation and rotation errors in the coordinate axes, independently from point position in image field of view (FOV). Algorithms evaluated were local correlation (LC) for CT-MRI, normalized mutual information (MI) for CT-MRI, and CT-SPECT registrations. To evaluate accuracy, estimator values were compared to limiting values for the algorithms employed, both in phantoms and in patients. To evaluate robustness, different alignments between images taken from a sample patient were produced and registration errors determined. LC algorithm resulted accurate in CT-MRI registrations in phantoms, but exceeded limiting values in 3 of 10 patients. MI algorithm resulted accurate in CT-MRI and CT-SPECT registrations in phantoms; limiting values were exceeded in one case in CT-MRI and never reached in CT-SPECT registrations. Thus, the evaluation of robustness was restricted to the algorithm of MI both for CT-MRI and CT-SPECT registrations. The algorithm of MI proved to be robust: limiting values were not exceeded with translation perturbations up to 2.5 cm, rotation perturbations up to 10° and roto-translational perturbation up to 3 cm and 5°.
机译:本说明描述了一种在准确性和鲁棒性方面表征图像融合软件(Syntegra)性能的方法。计算机断层扫描(CT),磁共振成像(MRI)和单光子发射计算机断层扫描(SPECT)研究来自两个体模和10位患者。由一对放射治疗师和一名物理学家组成的两对夫妇分别通过解剖学界标的叠加独立地进行图像配准。每对夫妇共同表演并保存了注册表。将两种溶液取平均值以获得金标准注册。定义了一组新的估算器,以识别坐标轴中的平移和旋转误差,而与图像视场(FOV)中的点位置无关。评估的算法是CT-MRI的局部相关性(LC),CT-MRI的归一化互信息(MI)和CT-SPECT注册。为了评估准确性,将幻影器和患者中的估计器值与所用算法的极限值进行比较。为了评估鲁棒性,在从样本患者获取的图像之间产生了不同的对齐方式,并确定了配准误差。 LC算法可准确实现幻像的CT-MRI配准,但在10例患者中有3例超过了极限值。 MI算法可准确实现幻像的CT-MRI和CT-SPECT配准;一例在CT-MRI中超过了极限值,而在CT-SPECT注册中从未达到极限值。因此,鲁棒性的评估仅限于针对CT-MRI和CT-SPECT注册的MI算法。 MI的算法被证明是可靠的:平移扰动不超过2.5厘米,旋转扰动不超过10°,旋转平移扰动不超过3 cm和5°,不会超过极限值。

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