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一种前瞻性门控方法,用于获取一系列不同的自由呼吸 CT 图像,用于基于模型的 4DCT。

A prospective gating method to acquire a diverse set of free-breathing CT images for model-based 4DCT.

机构信息

Department of Radiation Oncology, University of California, Los Angeles, CA 90095, United States of America.

出版信息

Phys Med Biol. 2018 Feb 15;63(4):04NT03. doi: 10.1088/1361-6560/aaa90f.

Abstract

Breathing motion modeling requires observation of tissues at sufficiently distinct respiratory states for proper 4D characterization. This work proposes a method to improve sampling of the breathing cycle with limited imaging dose. We designed and tested a prospective free-breathing acquisition protocol with a simulation using datasets from five patients imaged with a model-based 4DCT technique. Each dataset contained 25 free-breathing fast helical CT scans with simultaneous breathing surrogate measurements. Tissue displacements were measured using deformable image registration. A correspondence model related tissue displacement to the surrogate. Model residual was computed by comparing predicted displacements to image registration results. To determine a stopping criteria for the prospective protocol, i.e. when the breathing cycle had been sufficiently sampled, subsets of N scans where 5  ⩽  N  ⩽  9 were used to fit reduced models for each patient. A previously published metric was employed to describe the phase coverage, or 'spread', of the respiratory trajectories of each subset. Minimum phase coverage necessary to achieve mean model residual within 0.5 mm of the full 25-scan model was determined and used as the stopping criteria. Using the patient breathing traces, a prospective acquisition protocol was simulated. In all patients, phase coverage greater than the threshold necessary for model accuracy within 0.5 mm of the 25 scan model was achieved in six or fewer scans. The prospectively selected respiratory trajectories ranked in the (97.5  ±  4.2)th percentile among subsets of the originally sampled scans on average. Simulation results suggest that the proposed prospective method provides an effective means to sample the breathing cycle with limited free-breathing scans. One application of the method is to reduce the imaging dose of a previously published model-based 4DCT protocol to 25% of its original value while achieving mean model residual within 0.5 mm.

摘要

呼吸运动建模需要在足够不同的呼吸状态下观察组织,以进行适当的 4D 特征描述。本研究提出了一种利用有限的成像剂量改善呼吸周期采样的方法。我们设计并测试了一种前瞻性自由呼吸采集方案,该方案使用基于模型的 4DCT 技术对五名患者的数据集进行了模拟。每个数据集包含 25 次自由呼吸快速螺旋 CT 扫描,同时进行呼吸替代测量。使用可变形图像配准测量组织位移。对应模型将组织位移与替代物相关联。通过将预测位移与图像配准结果进行比较来计算模型残差。为了确定前瞻性协议的停止标准,即呼吸周期已被充分采样的时间,使用 N 次扫描的子集(其中 5 ⁇ N ⁇ 9)来拟合每个患者的简化模型。使用先前发表的度量标准来描述每个子集的呼吸轨迹的相位覆盖度或“传播”。确定实现简化模型平均模型残差在 0.5mm 内所需的最小相位覆盖度,并将其用作停止标准。使用患者呼吸轨迹,模拟了前瞻性采集协议。在所有患者中,在六个或更少的扫描中,实现了大于简化模型在 0.5mm 内的模型准确性所需的阈值的相位覆盖度。前瞻性选择的呼吸轨迹在原始采样扫描的子集平均排名在(97.5 ⁇ 4.2)%。模拟结果表明,所提出的前瞻性方法提供了一种利用有限的自由呼吸扫描有效采样呼吸周期的方法。该方法的一个应用是将先前发表的基于模型的 4DCT 协议的成像剂量降低到原始值的 25%,同时保持简化模型的平均模型残差在 0.5mm 内。

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