双能量CT重建使用受约束的一步光谱图像重建算法
Benjamin M Rizzo1, Emil Y Sidky2, Taly Gilat Schmidt1
1Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Medical physics
|October 14, 2023
概括
受约束的一步光谱CT图像重建 (cOSSCIR) 方法准确地从双kV数据重建材料基图. 这种光谱CT成像技术显示出改善量化和临床应用的前景.
科学领域:
- 医疗成像医学成像
- 计算成像技术的成像
- 材料科学 材料科学 材料科学
背景情况:
- 受约束的一步光谱CT图像重建 (cOSSCIR) 方法从光谱CT数据估计基础材料图.
- 它采用多能X射线传输模型和凸约束来实现稳定的反转.
- cOSSCIR适用于双能CT系统,包括快/慢kV切换和双源扫描仪.
研究的目的:
- 调查cOSSCIR对双kV光谱CT数据的应用.
- 通过注册和未注册的频谱采集 (缓慢和快速kV切换) 来评估cOSSCIR.
- 这项研究标志着cOSSCIR用于双kV重建的首次演示.
主要方法:
- 开发了一种用于双kV数据重建的集成探测器模型.
- 验证了探测器模型,使用与盆腔幻影的反向犯罪模拟.
- 将cOSSCIR应用于与骨,脂肪和肝脏组织类似物的物理幻影实验.
- 将cOSSCIR与传统的图像域分解方法进行比较.
主要成果:
- 模拟成功恢复了材料基础地图,突出了未注册数据的挑战.
- 实验重建显示,在注册/未注册的协议中,骨,脂肪和肝脏基底图的误差为<6.5%.
- 50keV的虚拟单能图像有<4%的误差,分解向量与地面真相密切匹配.
- 初步的量化结果显示,的平均度为9.2 mg/mL.
结论:
- cOSSCIR可以准确地从双kV数据中恢复材料基础地图,无论登记或成像协议如何.
- 材料分解量化与图像域方法相比较有利.
- 结果表明cOSSCIR有可能通过两种材料分解量化.
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