On the correction of respiratory motion-induced image reconstruction errors in positron-emission tomography-guided radiation therapy.
On the correction of respiratory motion-induced image reconstruction errors in positron-emission tomography-guided radiation therapy.
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DOI：
10.1016/j.phro.2023.100430
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发表时间：
2023-04
影响因子：
--
通讯作者：
Liu Y
中科院分区：
文献类型：
--
作者：
Zhong H;Ren L;Lu Y;Liu Y
自由呼吸（FB）正电子发射断层扫描（PET）图像通常用于肺癌患者的放射治疗。这些图像中的呼吸引起的伪影损害了治疗反应评估，阻碍了剂量涂漆和pet引导放射治疗的临床实施。本研究的目的是开发一种模糊图像分解（BID）方法来纠正fb - pet中运动引起的图像重建误差。假设一个模糊的PET被表示为多相PET的平均值。从吸入末期（EI）阶段到其他阶段的四维计算机断层扫描图像可变形地注册。通过配准导出的变形图，其他阶段的PET可以从EI阶段的PET变形。为了重建EI-PET，使用最大似然期望最大化算法最小化模糊PET与变形EI-PET平均值之间的差值。利用3例患者的计算和物理幻象以及PET/CT图像对所开发的方法进行评估。该方法使计算型pet模型的信噪比从1.88±1.05提高到10.5±3.3，综合质量指数从0.72±0.11提高到1.0，运动诱导误差从活性浓度最大值的69.9%降低到10.9%，从物理pet模型半最大值全宽度的317.5%降低到8.7%。基于bid的校正使3例患者的最大标准化摄取值平均增加了17.7±15.4%，肿瘤体积平均减少了12.5±10.4%。所提出的图像分解方法减少了PET图像中呼吸引起的错误，具有提高胸腹癌患者放疗质量的潜力。
Free breathing (FB) positron emission tomography (PET) images are routinely used in radiotherapy for lung cancer patients. Respiration-induced artifacts in these images compromise treatment response assessment and obstruct clinical implementation of dose painting and PET-guided radiotherapy. The purpose of this study is to develop a blurry image decomposition (BID) method to correct motion-induced image-reconstruction errors in FB-PETs. Assuming a blurry PET is represented as an average of multi-phase PETs. A four-dimensional computed-tomography image is deformably registered from the end-inhalation (EI) phase to other phases. With the registration-derived deformation maps, PETs at other phases can be deformed from a PET at the EI phase. To reconstruct the EI-PET, the difference between the blurry PET and the average of the deformed EI-PETs is minimized using a maximum-likelihood expectation–maximization algorithm. The developed method was evaluated with computational and physical phantoms as well as PET/CT images acquired from three patients. The BID method increased the signal-to-noise ratio from 1.88 ± 1.05 to 10.5 ± 3.3 and universal-quality index from 0.72 ± 0.11 to 1.0 for the computational phantoms, and reduced the motion-induced error from 69.9% to 10.9% in the maximum of activity concentration and from 317.5% to 8.7% in the full width at half maximum of the physical PET-phantom. The BID-based corrections increased the maximum standardized-uptake values by 17.7 ± 15.4% and reduced tumor volumes by 12.5 ± 10.4% on average for the three patients. The proposed image-decomposition method reduces respiration-induced errors in PET images and holds potential to improve the quality of radiotherapy for thoracic and abdominal cancer patients.
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影响因子：
8.4
作者：
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通讯作者：
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影响因子：
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作者：
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影响因子：
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作者：
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作者：
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DOI：
10.1016/j.ejmp.2017.04.005
发表时间：
2017-10-01
影响因子：
3.4
作者：
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通讯作者：
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