Low-dose preview for patient-specific, task-specific technique selection in cone-beam CT.
Low-dose preview for patient-specific, task-specific technique selection in cone-beam CT.
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锥束 CT 中针对特定患者、特定任务的技术选择的低剂量预览。
DOI：
10.1118/1.4884039
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发表时间：
2014
期刊：
影响因子：
3.8
通讯作者：
Siewerdsen,JeffreyH
中科院分区：
文献类型：
--
作者：
Wang,AdamS;Stayman,JWebster;Otake,Yoshito;Vogt,Sebastian;Kleinszig,Gerhard;Khanna,AJay;Gallia,GaryL;Siewerdsen,JeffreyH
目的：介绍了一种用于生成模拟低剂量锥形束CT（CBCT）预览图像的方法，在涉及重复扫描的临床场景中，可以根据该方法自信地前瞻性选择患者和任务特定的最小剂量方案。在涉及一系列CBCT图像的临床场景中，低剂量预览（LDP）该方法对第一次扫描进行操作以创建投影数据集，该投影数据集通过注入适当的噪声来精确地模拟后续扫描中剂量减少的效果。幅度和相关性，包括量子和电子读出噪声作为平板探测器CBCT中图像噪声的重要组成部分。通过使用原型移动的C形臂系统在宽剂量范围（头部：0.8-13.2 mGy，身体：0.8-12.4 mGy）内进行CBCT采集，进行了实验以确认头部体模和尸体躯干中的LDP方法。在注入相关噪声以模拟剂量降低后，使用传统的滤波反投影（FBP）和迭代的基于模型的图像重建方法（MBIR）重建投影。然后将LDP图像与真实的CBCT图像在噪声幅度、噪声功率谱（SNR）、空间分辨率、对比度和伪影方面进行比较。结果：对于FBP和MBIR，LDP图像表现出准确的空间分辨率和对比度水平，不受相关噪声注入的影响，正如预期的那样。此外，LDP图像噪声幅度和信噪比与在整个考虑的剂量范围内以相应的降低剂量水平采集的真实的CBCT图像高度一致。头部体模和尸体躯干的噪声幅度均在7%范围内，并且在奈奎斯特频率下的一致性水平相似。因此，LDP图像在广泛的剂量和重建方法范围内高度代表了真实的图像质量。另一方面，天真的注射ofuncorrelatednoise导致强烈低估的真实噪声，这将导致过于乐观的预测剂量reduction.Conclusions：相关噪声注入是必不可少的准确模拟CBCT图像质量在减少剂量。使用所提出的LDP方法，用户可以前瞻性地选择患者特定的最小剂量方案（即，采集技术和重建方法），适用于特定的成像任务和用户自己的观察者偏好，用于第一次采集后的CBCT扫描。该方法可以在涉及多次CBCT扫描的常见临床场景中提供剂量降低，例如图像引导手术和放疗。
Purpose: A method is presented for generating simulated low‐dose cone‐beam CT (CBCT) preview images from which patient‐ and task‐specific minimum‐dose protocols can be confidently selected prospectively in clinical scenarios involving repeat scans.Methods: In clinical scenarios involving a series of CBCT images, the low‐dose preview (LDP) method operates upon the first scan to create a projection dataset that accurately simulates the effects of dose reduction in subsequent scans by injecting noise of proper magnitude and correlation, including both quantum and electronic readout noise as important components of image noise in flat‐panel detector CBCT. Experiments were conducted to validate the LDP method in both a head phantom and a cadaveric torso by performing CBCT acquisitions spanning a wide dose range (head: 0.8–13.2 mGy, body: 0.8–12.4 mGy) with a prototype mobile C‐arm system. After injecting correlated noise to simulate dose reduction, the projections were reconstructed using both conventional filtered backprojection (FBP) and an iterative, model‐based image reconstruction method (MBIR). The LDP images were then compared to real CBCT images in terms of noise magnitude, noise‐power spectrum (NPS), spatial resolution, contrast, and artifacts.Results: For both FBP and MBIR, the LDP images exhibited accurate levels of spatial resolution and contrast that were unaffected by the correlated noise injection, as expected. Furthermore, the LDP image noise magnitude and NPS were in strong agreement with real CBCT images acquired at the corresponding, reduced dose level across the entire dose range considered. The noise magnitude agreed within 7% for both the head phantom and cadaveric torso, and the NPS showed a similar level of agreement up to the Nyquist frequency. Therefore, the LDP images were highly representative of real image quality across a broad range of dose and reconstruction methods. On the other hand, naïve injection ofuncorrelatednoise resulted in strong underestimation of the true noise, which would lead to overly optimistic predictions of dose reduction.Conclusions: Correlated noise injection is essential to accurate simulation of CBCT image quality at reduced dose. With the proposed LDP method, the user can prospectively select patient‐specific, minimum‐dose protocols (viz., acquisition technique and reconstruction method) suitable to a particular imaging task and to the user's own observer preferences for CBCT scans following the first acquisition. The method could provide dose reduction in common clinical scenarios involving multiple CBCT scans, such as image‐guided surgery and radiotherapy.
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DOI：
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