Dose Reduction and Scatter Correction for Cone Beam Computed Tomography

0854492XingOnboard CBCT与直线加速器集成在一起，现在可用于患者设置和治疗指导。为了充分发挥这些容积CBCT的潜力并得到临床的广泛接受，必须在保持常规CT优势的同时消除散射并显著降低成像剂量。这项研究将加深对CBCT中噪声和散射行为的理解，并获得关于如何在保留边缘信息的同时有效去除不良信号的有用知识。所提出的方法有可能显著改变当今临床系统的设计方式，并有助于新的大容量CT成像系统的设计和临床应用。这项研究应该会导致CBCT的重大进步，以充分实现体积成像的技术能力。本研究开发的方法和技术也适用于解决其他相关生物工程领域的类似问题。该项目的顺利完成将为放射肿瘤学和相关领域提供所需的高质量体积成像，降低患者的辐射剂量。这项拟议的技术将使医生能够更好地看到患者的解剖结构，特别是低对比度组织，并更准确地确定肿瘤靶区体积。图像质量的提高也将使使用CBCT进行准确的剂量计算和剂量重建成为可能。这将为下一代适应性治疗奠定基础，以最佳地补偿患者设置错误和部分间解剖变化。

0854492XingOnboard CBCT integrated with Linac is now available for patient set up and therapeutic guidance. For these volumetric CBCTs to realize their full potential and enjoy broad clinical acceptance, the scatter must be removed and imaging dose must be significantly reduced while maintaining the advantages of conventional CT. This study will enhance understanding of noise and scatter behaviors in CBCT and gain useful knowledge on how to effectively remove the undesirable signals while reserving the edge information.The approach proposed has the potential to significantly change the way clinical systems are designed today, and could facilitate the design and translation into the clinic of new, large volume CT imaging systems. This research should lead to a significant advance in CBCT to fully realize the technical capacity of volumetric imaging. The methodology and techniques developed by this study may also be applicable for solving similar problems in other related bioengineering fields.Successful completion of this project will provide radiation oncology and related fields needed high quality volumetric imaging with reduced patient radiation dose. The proposed technique will allow physicians to better see the patient anatomy especially the low contrast tissues and more accurately define the tumor target volume. The improved image quality will also make it possible to use CBCT for accurate dose calculation and dose reconstruction. This will lay the foundation for next generation of adaptive therapy to optimally compensate for the patient setup error and inter-fractional anatomy change.