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本文引用的文献

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Quality assurance for image-guided radiation therapy utilizing CT-based technologies: a report of the AAPM TG-179.利用基于 CT 的技术进行图像引导放射治疗的质量保证:AAPM TG-179 的报告。
Med Phys. 2012 Apr;39(4):1946-63. doi: 10.1118/1.3690466.
2
Molecular radiation biology: perspectives for radiation oncology.分子辐射生物学:放射肿瘤学的前景
Radiother Oncol. 2009 Sep;92(3):293-8. doi: 10.1016/j.radonc.2009.08.023. Epub 2009 Aug 31.
3
Perturbative refinement of the geometric calibration in pinhole SPECT.针孔单光子发射计算机断层成像中几何校准的微扰优化
IEEE Trans Med Imaging. 2008 Feb;27(2):204-14. doi: 10.1109/TMI.2007.904687.
4
Pinhole SPECT with different data acquisition geometries: usefulness of unified projection operators in homogeneous coordinates.具有不同数据采集几何结构的针孔单光子发射计算机断层显像:齐次坐标中统一投影算子的效用
IEEE Trans Med Imaging. 2007 Mar;26(3):298-308. doi: 10.1109/TMI.2006.887372.
5
SemiSPECT: a small-animal single-photon emission computed tomography (SPECT) imager based on eight cadmium zinc telluride (CZT) detector arrays.半SPECT:一种基于八个碲锌镉(CZT)探测器阵列的小动物单光子发射计算机断层扫描(SPECT)成像仪。
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6
Determination of mechanical and electronic shifts for pinhole SPECT using a single point source.使用单点源确定针孔单光子发射计算机断层扫描的机械和电子偏移
IEEE Trans Med Imaging. 2005 Mar;24(3):361-70. doi: 10.1109/tmi.2004.842456.
7
Clinical utility of co-registered respiratory-gated( 99m)Tc-Technegas/MAA SPECT-CT images in the assessment of regional lung functional impairment in patients with lung cancer.联合配准呼吸门控(99m)Tc-锝气体/大颗粒聚合人血清白蛋白单光子发射计算机断层扫描/计算机断层扫描成像在评估肺癌患者局部肺功能损害中的临床应用
Eur J Nucl Med Mol Imaging. 2004 Sep;31(9):1280-90. doi: 10.1007/s00259-004-1558-1. Epub 2004 Jun 10.
8
Characterization of pinhole SPECT acquisition geometry.针孔单光子发射计算机断层扫描采集几何结构的表征
IEEE Trans Med Imaging. 2003 May;22(5):599-612. doi: 10.1109/TMI.2003.812258.
9
Analytic determination of pinhole collimator sensitivity with penetration.针孔准直器穿透灵敏度的分析测定。
IEEE Trans Med Imaging. 2001 Aug;20(8):730-41. doi: 10.1109/42.938241.
10
Tumor hypoxia: definitions and current clinical, biologic, and molecular aspects.肿瘤缺氧:定义及当前临床、生物学和分子学方面的情况
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一种用于对准机载和其他小孔 SPECT 系统的线源方法。

A line-source method for aligning on-board and other pinhole SPECT systems.

机构信息

Medical Physics Graduate Program, Duke University, Durham, North Carolina 27710.

出版信息

Med Phys. 2013 Dec;40(12):122501. doi: 10.1118/1.4828776.

DOI:10.1118/1.4828776
PMID:24320537
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3843759/
Abstract

PURPOSE

In order to achieve functional and molecular imaging as patients are in position for radiation therapy, a robotic multipinhole SPECT system is being developed. Alignment of the SPECT system-to the linear accelerator (LINAC) coordinate frame and to the coordinate frames of other on-board imaging systems such as cone-beam CT (CBCT)-is essential for target localization and image reconstruction. An alignment method that utilizes line sources and one pinhole projection is proposed and investigated to achieve this goal. Potentially, this method could also be applied to the calibration of the other pinhole SPECT systems.

METHODS

An alignment model consisting of multiple alignment parameters was developed which maps line sources in three-dimensional (3D) space to their two-dimensional (2D) projections on the SPECT detector. In a computer-simulation study, 3D coordinates of line-sources were defined in a reference room coordinate frame, such as the LINAC coordinate frame. Corresponding 2D line-source projections were generated by computer simulation that included SPECT blurring and noise effects. The Radon transform was utilized to detect angles (α) and offsets (ρ) of the line-source projections. Alignment parameters were then estimated by a nonlinear least squares method, based on the α and ρ values and the alignment model. Alignment performance was evaluated as a function of number of line sources, Radon transform accuracy, finite line-source width, intrinsic camera resolution, Poisson noise, and acquisition geometry. Experimental evaluations were performed using a physical line-source phantom and a pinhole-collimated gamma camera attached to a robot.

RESULTS

In computer-simulation studies, when there was no error in determining angles (α) and offsets (ρ) of the measured projections, six alignment parameters (three translational and three rotational) were estimated perfectly using three line sources. When angles (α) and offsets (ρ) were provided by the Radon transform, estimation accuracy was reduced. The estimation error was associated with rounding errors of Radon transform, finite line-source width, Poisson noise, number of line sources, intrinsic camera resolution, and detector acquisition geometry. Statistically, the estimation accuracy was significantly improved by using four line sources rather than three and by thinner line-source projections (obtained by better intrinsic detector resolution). With five line sources, median errors were 0.2 mm for the detector translations, 0.7 mm for the detector radius of rotation, and less than 0.5° for detector rotation, tilt, and twist. In experimental evaluations, average errors relative to a different, independent registration technique were about 1.8 mm for detector translations, 1.1 mm for the detector radius of rotation (ROR), 0.5° and 0.4° for detector rotation and tilt, respectively, and 1.2° for detector twist.

CONCLUSIONS

Alignment parameters can be estimated using one pinhole projection of line sources. Alignment errors are largely associated with limited accuracy of the Radon transform in determining angles (α) and offsets (ρ) of the line-source projections. This alignment method may be important for multipinhole SPECT, where relative pinhole alignment may vary during rotation. For pinhole and multipinhole SPECT imaging on-board radiation therapy machines, the method could provide alignment of SPECT coordinates with those of CBCT and the LINAC.

摘要

目的

为了在患者接受放射治疗时实现功能和分子成像,正在开发一种机器人多针孔 SPECT 系统。将 SPECT 系统与线性加速器 (LINAC) 坐标系以及机载成像系统(如锥形束 CT (CBCT))的坐标系对准对于目标定位和图像重建至关重要。提出并研究了一种利用线源和一个针孔投影的对准方法来实现这一目标。该方法有可能也适用于其他针孔 SPECT 系统的校准。

方法

开发了一个由多个对准参数组成的对准模型,该模型将三维 (3D) 空间中的线源映射到它们在 SPECT 探测器上的二维 (2D) 投影。在计算机模拟研究中,在参考室坐标系(例如 LINAC 坐标系)中定义了线源的 3D 坐标。通过计算机模拟生成相应的二维线源投影,该模拟包括 SPECT 模糊和噪声效应。利用 Radon 变换检测线源投影的角度 (α) 和偏移量 (ρ)。然后,基于 α 和 ρ 值以及对准模型,通过非线性最小二乘法估计对准参数。作为线源数量、Radon 变换精度、有限线源宽度、固有相机分辨率、泊松噪声和采集几何形状的函数,评估对准性能。使用物理线源体模和安装在机器人上的针孔准直伽马相机进行了实验评估。

结果

在计算机模拟研究中,当测量投影的角度 (α) 和偏移量 (ρ) 的确定没有误差时,使用三个线源可以完美地估计六个对准参数(三个平移和三个旋转)。当 Radon 变换提供角度 (α) 和偏移量 (ρ) 时,估计精度会降低。估计误差与 Radon 变换的舍入误差、有限线源宽度、泊松噪声、线源数量、固有相机分辨率和探测器采集几何形状有关。从统计学上讲,使用四个线源而不是三个线源以及更薄的线源投影(通过更好的固有探测器分辨率获得)显著提高了估计精度。使用五个线源时,探测器平移的中值误差为 0.2 毫米,探测器旋转半径的中值误差为 0.7 毫米,探测器旋转、倾斜和扭转的中值误差小于 0.5°。在实验评估中,相对于不同的独立注册技术,相对误差约为 1.8 毫米,用于探测器平移,1.1 毫米用于探测器旋转半径 (ROR),0.5°和 0.4°分别用于探测器旋转和倾斜,1.2°用于探测器扭转。

结论

可以使用线源的一个针孔投影来估计对准参数。对准误差主要与 Radon 变换在确定线源投影的角度 (α) 和偏移量 (ρ) 方面的有限精度有关。这种对准方法对于多针孔 SPECT 可能很重要,因为在旋转过程中相对针孔对准可能会发生变化。对于放射治疗机上的针孔和多针孔 SPECT 成像,该方法可以将 SPECT 坐标与 CBCT 和 LINAC 的坐标对准。