Van Holen Roel, Vandenberghe Stefaan, Staelens Steven, Lemahieu Ignace
ELIS Department, MEDISIP, Ghent University, IBBT, IBiTech, De Pintelaan 185 block B, B-9000 Ghent, Belgium.
Phys Med Biol. 2008 Apr 7;53(7):1989-2002. doi: 10.1088/0031-9155/53/7/013. Epub 2008 Mar 20.
The main remaining challenge for a gamma camera is to overcome the existing trade-off between collimator spatial resolution and system sensitivity. This problem, strongly limiting the performance of parallel hole collimated gamma cameras, can be overcome by applying new collimator designs such as rotating slat (RS) collimators which have a much higher photon collection efficiency. The drawback of a RS collimated gamma camera is that, even for obtaining planar images, image reconstruction is needed, resulting in noise accumulation. However, nowadays iterative reconstruction techniques with accurate system modeling can provide better image quality. Because the impact of this modeling on image quality differs from one system to another, an objective assessment of the image quality obtained with a RS collimator is needed in comparison to classical projection images obtained using a parallel hole (PH) collimator. In this paper, a comparative study of image quality, achieved with system modeling, is presented. RS data are reconstructed to planar images using maximum likelihood expectation maximization (MLEM) with an accurate Monte Carlo derived system matrix while PH projections are deconvolved using a Monte Carlo derived point-spread function. Contrast-to-noise characteristics are used to show image quality for cold and hot spots of varying size. Influence of the object size and contrast is investigated using the optimal contrast-to-noise ratio (CNR(o)). For a typical phantom setup, results show that cold spot imaging is slightly better for a PH collimator. For hot spot imaging, the CNR(o) of the RS images is found to increase with increasing lesion diameter and lesion contrast while it decreases when background dimensions become larger. Only for very large background dimensions in combination with low contrast lesions, the use of a PH collimator could be beneficial for hot spot imaging. In all other cases, the RS collimator scores better. Finally, the simulation of a planar bone scan on a RS collimator revealed a hot spot contrast improvement up to 54% compared to a classical PH bone scan.
γ相机面临的主要挑战是克服准直器空间分辨率与系统灵敏度之间现有的权衡。这个问题严重限制了平行孔准直γ相机的性能,可以通过应用新的准直器设计来克服,比如旋转板条(RS)准直器,其光子收集效率要高得多。RS准直γ相机的缺点是,即使是获取平面图像也需要图像重建,这会导致噪声积累。然而,如今具有精确系统建模的迭代重建技术可以提供更好的图像质量。由于这种建模对图像质量的影响因系统而异,因此需要与使用平行孔(PH)准直器获得的传统投影图像相比,对使用RS准直器获得的图像质量进行客观评估。本文展示了通过系统建模实现的图像质量对比研究。使用具有精确蒙特卡洛推导系统矩阵的最大似然期望最大化(MLEM)算法将RS数据重建为平面图像,同时使用蒙特卡洛推导的点扩散函数对PH投影进行去卷积。利用对比度噪声特性来展示不同大小冷点和热点的图像质量。使用最佳对比度噪声比(CNR(o))研究物体大小和对比度的影响。对于典型的体模设置,结果表明,对于冷点成像,PH准直器略胜一筹。对于热点成像,发现RS图像的CNR(o)随着病变直径和病变对比度的增加而增加,而当背景尺寸变大时则会降低。只有在背景尺寸非常大且病变对比度低的情况下,使用PH准直器对热点成像才可能有益。在所有其他情况下,RS准直器得分更高。最后,在RS准直器上模拟平面骨扫描显示,与传统的PH骨扫描相比,热点对比度提高了54%。