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First Steps Toward Ultrasound-Based Motion Compensation for Imaging and Therapy: Calibration with an Optical System and 4D PET Imaging

机译:成像和治疗中基于超声的运动补偿的第一步:使用光学系统和4D PET成像进行校准

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摘要

Target motion, particularly in the abdomen, due to respiration or patient movement is still a challenge in many diagnostic and therapeutic processes. Hence, methods to detect and compensate this motion are required. Diagnostic ultrasound (US) represents a non-invasive and dose-free alternative to fluoroscopy, providing more information about internal target motion than respiration belt or optical tracking. The goal of this project is to develop an US-based motion tracking for real-time motion correction in radiation therapy and diagnostic imaging, notably in 4D positron emission tomography (PET). In this work, a workflow is established to enable the transformation of US tracking data to the coordinates of the treatment delivery or imaging system – even if the US probe is moving due to respiration. It is shown that the US tracking signal is equally adequate for 4D PET image reconstruction as the clinically used respiration belt and provides additional opportunities in this concern. Furthermore, it is demonstrated that the US probe being within the PET field of view generally has no relevant influence on the image quality. The accuracy and precision of all the steps in the calibration workflow for US tracking-based 4D PET imaging are found to be in an acceptable range for clinical implementation. Eventually, we show in vitro that an US-based motion tracking in absolute room coordinates with a moving US transducer is feasible.
机译:在许多诊断和治疗过程中,由于呼吸或患者运动引起的目标运动,尤其是腹部运动仍然是一个挑战。因此,需要用于检测和补偿该运动的方法。诊断超声(US)代表荧光检查的一种无创且无剂量的替代方法,它提供了有关内部目标运动的更多信息,而不是呼吸带或光学跟踪。该项目的目标是开发一种基于美国的运动跟踪技术,以进行放射治疗和诊断成像(尤其是4D正电子发射断层扫描(PET))中的实时运动校正。在这项工作中,建立了工作流程以使US跟踪数据能够转换为治疗输送或成像系统的坐标,即使US探头由于呼吸而移动。结果表明,US跟踪信号与临床上使用的呼吸带一样,足以满足4D PET图像重建的需要,并为此提供了更多机会。此外,已证明位于PET视场内的US探头通常对图像质量没有相关影响。发现基于美国跟踪的4D PET成像的校准工作流程中所有步骤的准确性和精确度在临床实施的可接受范围内。最终,我们在体外显示了使用移动的US传感器在绝对房间坐标中进行基于US的运动跟踪是可行的。

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