Dual energy CT using slow kVp switching acquisition and prior image constrained compressed sensing

数字增强无线通信 扫描仪 计算机科学 迭代重建 投影(关系代数) 成像体模 压缩传感 回转率 人工智能 计算机视觉 数据采集 能量(信号处理) 算法 核医学 数学 物理 医学 电压 统计 操作系统 电信 量子力学 无线
作者
Timothy P. Szczykutowicz,Guang‐Hong Chen
出处
期刊:Physics in Medicine and Biology [IOP Publishing]
卷期号:55 (21): 6411-6429 被引量:115
标识
DOI:10.1088/0031-9155/55/21/005
摘要

Dual energy computed tomography (DECT) is currently a subject of extensive investigation. DECT is currently implemented using either a dual source scanner with high and low kVp data acquired from separate sources or a single source scanner with both high and low kVp data acquired in an alternating manner. Both methods require dedicated hardware to enable data acquisition and image reconstruction for DECT. In this paper, we present a method to enable DECT using a single x-ray source with a slow kVp switching data acquisition. The enabling reconstruction technique allowing for the reduction in slew rate is the prior image constrained compressed sensing (PICCS) algorithm. When a slow kVp switching data acquisition method is used, the projection data with high and low kVp values are undersampled and the conventional filtered backprojection (FBP) image reconstruction does not enable streaking artifact-free images for material decomposition in DECT. In this paper, all of the acquired high and low kVp projection data were used to generate a prior image using the conventional FBP method. The PICCS algorithm was then used to reconstruct both high and low kVp images to enable material decomposition in the image domain. Both numerical simulations and physical phantom experimental studies were conducted to validate the proposed DECT scheme. The results demonstrate that a slew rate corresponding to 123 views at high and low kVp (high and low kVp values used for dual energy decomposition) is sufficient for the PICCS-based DECT method. In contrast, the slew rate should be high enough to obtain over 500 projections at each kVp for artifact-free reconstruction using an FBP-based DECT method.
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