基于CS图像重建算法的ECT成像方案评价
Evaluation of imaging protocol for ECT based on CS image reconstruction algorithm
摘要：
SPECT（单光子发射计算机断层扫描）和PET（正电子发射断层成像）是基本的医学成像工具，对于它们，采样角度数、扫描时间应仔细选择以在图像质量和放射性药物剂量之间进行折衷。在这项研究中，不同的采集协议的图像质量进行了评价，通过不同的角度数和计数数的角度与蒙特卡罗模拟数据。结果表明，在使用相似的成像计数时，ECT（发射计算机断层扫描）中采集计数的因素比采样数的因素更重要。为了进一步减少活动要求和扫描时间，基于压缩感知理论的有限视角和低剂量断层扫描的迭代图像重建算法已经开发。在重建过程中加入了总变差调节，提高了信噪比（信噪比），减少了有限角度采样造成的伪影。交替实现估计图像和测量数据的极大似然的最大化和图像的总变化的最小化。通过使用这种先进的算法，重建过程能够实现图像质量匹配或超过正常扫描，只有一半的注射放射性药物剂量。
英文摘要：
SPECT (Single-photon Emission Computerized Tomography) and PET (Positron Emission Tomography) are essential medical imaging tools, for which the sampling angle number, scan time should be chosen carefully to compromise between image quality and the radiopharmaceutical dose. In this study, the image quality of different acquisition protocol was evaluated via varied angle number and count number per angle with Monte Carlo simulation data. It was shown that when similar imaging counts were used, the factor of acquisition counts was more important than that of the sampling number in ECT (Emission Computerized Tomography). To further reduce the activity requirement and the scan duration, an iterative image reconstruction algorithm for limited-view and low-dose tomography based on compressed sensing theory has been developed. The total variation regulation was added in the reconstruction process to improve SNR (Signal to Noise Ratio) and reduce the artifacts caused by the limited angle sampling. Maximization of maximum likelihood of the estimated image and the measured data and minimization of the total variation of the image are alternative implemented. By using this advanced algorithm, the reconstruction process is able to achieve image quality matching or exceeding that of normal scan with only half of the injection radiopharmaceutical dose.
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