Chen Ling, Tsui Benjamin M W, Mok Greta S P
Biomedical Imaging Laboratory (BIG), Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Avenida da Universidade, Taipa, Macau SAR, China.
Division of Medical Imaging Physics, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, 21287, USA.
Ann Nucl Med. 2017 Oct;31(8):636-648. doi: 10.1007/s12149-017-1195-y. Epub 2017 Jul 28.
SPECT is a powerful tool for diagnosing or staging brain diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD) but is limited by its inferior resolution and sensitivity. At the same time, pinhole SPECT provides superior resolution and detection efficiency trade-off as compared to the conventional parallel-hole collimator for imaging small field-of-view (FOV), which fits for the case of brain imaging. In this study, we propose to develop and evaluate two multi-pinhole (MPH) collimator designs to improve the imaging of cerebral blood flow and striatum.
We set the target resolutions to be 12 and 8 mm, respectively, and the FOV at 200 mm which is large enough to cover the whole brain. The constraints for system optimization include maximum and minimum detector-to-center-of-FOV (CFOV) distances of 344 and 294 mm, respectively, and minimal radius-of-rotation (ROR) of 135 mm to accommodate patients' shoulder. According to the targeted FOV, resolutions, and constraints, we determined the pinhole number, ROR, focal length, aperture acceptance angle, and aperture diameter which maximized the system sensitivity. We then assessed the imaging performance of the proposed MPH and standard low-energy high-resolution (LEHR) collimators using analytical simulations of a digital NCAT brain phantom with Tc-HMPAO/Tc-TRODAT-1 distributions; Monte Carlo simulations of a hot-rod phantom; and a Defrise phantom using GATE v6.1. Projections were generated over 360° and reconstructed using the 3D MPH/LEHR OS-EM methods with up to 720 updates. The normalized mean square error (NMSE) was calculated over the cerebral and striatal regions extracted from the reconstructed images for Tc-HMPAO and Tc-TRODAT-1 simulations, respectively, and average normalized standard deviation (NSD) based on 20 noise realizations was assessed on selected uniform 3D regions as the noise index. Visual assessment and image profiles were applied to the results of Monte Carlo simulations.
The optimized design parameters of the MPH collimators were 9 pinholes with 4.7 and 2.8 mm pinhole diameter, 73° acceptance angle, 127 mm focal length, 167 mm ROR for 12 mm and 8 mm target resolution, respectively. According to the optimization results, the detection efficiencies of the proposed collimators were 270 and 40% more as compared to LEHR. The Monte Carlo simulations showed that 7.9 and 6.4 mm rods can be discriminated for the MPH collimators with target resolutions of 12 and 8 mm, respectively. The eight 12 mm-thick discs of the Defrise phantom can also be resolved clearly in the axial plane as demonstrated by the image profiles generated with the MPH collimators.
The two collimator designs provide superior image quality as compared to the conventional LEHR, and shows potential to improve current brain SPECT imaging based on a conventional SPECT scanner.
单光子发射计算机断层扫描(SPECT)是诊断或分期阿尔茨海默病(AD)和帕金森病(PD)等脑部疾病的有力工具,但受其分辨率和灵敏度较低的限制。同时,与用于小视野(FOV)成像的传统平行孔准直器相比,针孔SPECT在分辨率和检测效率之间实现了更好的权衡,适用于脑部成像的情况。在本研究中,我们提议开发并评估两种多针孔(MPH)准直器设计,以改善脑血流和纹状体的成像。
我们将目标分辨率分别设置为12毫米和8毫米,FOV为200毫米,足以覆盖整个大脑。系统优化的约束条件包括探测器到FOV中心(CFOV)的最大和最小距离分别为344毫米和294毫米,以及最小旋转半径(ROR)为135毫米,以适应患者的肩部。根据目标FOV、分辨率和约束条件,我们确定了能使系统灵敏度最大化的针孔数量、ROR、焦距、孔径接受角和孔径直径。然后,我们使用具有Tc-HMPAO/Tc-TRODAT-1分布的数字NCAT脑模型的分析模拟、热棒模型的蒙特卡罗模拟以及使用GATE v6.1的Defrise模型,评估所提议的MPH和标准低能高分辨率(LEHR)准直器的成像性能。在360°范围内生成投影,并使用最多720次更新的3D MPH/LEHR有序子集期望最大化(OS-EM)方法进行重建。分别针对Tc-HMPAO和Tc-TRODAT-1模拟,在从重建图像中提取的脑区和纹状体区域计算归一化均方误差(NMSE),并在选定的均匀3D区域基于20次噪声实现评估平均归一化标准差(NSD)作为噪声指标。对蒙特卡罗模拟结果进行视觉评估和图像剖面图分析。
对于目标分辨率为12毫米和8毫米的MPH准直器,优化后的设计参数分别为9个针孔,针孔直径为4.7毫米和2.8毫米,接受角为73°,焦距为127毫米,ROR为167毫米。根据优化结果,所提议的准直器的检测效率比LEHR分别高270%和40%。蒙特卡罗模拟表明,对于目标分辨率为12毫米和8毫米的MPH准直器,分别可以分辨出7.9毫米和6.4毫米的棒。如MPH准直器生成的图像剖面图所示,Defrise模型的八个12毫米厚的圆盘在轴向平面上也能清晰分辨。
与传统的LEHR相比,这两种准直器设计提供了更高的图像质量,并显示出基于传统SPECT扫描仪改善当前脑部SPECT成像的潜力。