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4D digital tomosynthesis image reconstruction using brute force-based adaptive total variation (BF-ATV) in a prototype LINAC system

机译:4D数字截止数量模拟图像重建在原型LINAC系统中使用蛮力的自适应总变化(BF-ATV)

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摘要

Respiratory-correlated cone-beam CT (CBCT) not only inhibits rapid scanning due to the slow speed of the LINAC head gantry rotation, but its implementation for routine patient imaging is impractical because of the high radiation dose delivered during the process. Digital tomosynthesis (DTS) is a potentially faster technique that delivers a much lower radiation dose by reducing the number of projections in a limited angular range. Unfortunately, 4D-DTS introduces strong aliasing artifacts in the reconstructed images due to the sparsely sampled projections in each respiratory phase bin. The authors hereby suggest a novel low-dose 4D-DTS image reconstruction method that achieves a compromise between the occurrence of aliasing artifacts and image smoothing using a brute force-based adaptive weighting parameter searching technique. We used a prototype LINAC system mounted with a flat-panel detector to acquire tomosynthesis projections of respiratory motion in a phantom in the anterior-posterior (AP) and lateral views. Three different 4D-DTS image reconstruction schemes that included conventional filtered back-projection (FBP), adaptive steepest descent projection onto convex sets (ASD-POCS), and the proposed brute force-based adaptive total variation (BF-ATV) were implemented in four different respiratory phase bins for both AP and lateral views. All reconstructions were accelerated using a single GPU card to reduce the computation time. To study the performance of the algorithm under various sparse conditions, we operated the prototype system in three different gantry sweep modes. The results indicate that the proposed BF-ATV method yields the largest structural similarities in the differenced image between the ground-truth dataset acquired using the slow gantry sweep mode and the sparse dataset from both moderate and fast sweep modes. In addition, the proposed method maintained the object sharpness with less streaking lines and small loss of sharpness compared to the conventional FBP and ASD-POCS methods. In conclusion, the proposed low-dose 4D-DTS reconstruction scheme may provide better performance due in part to its rapid scanning. Therefore, it is potentially applicable to practical 4D imaging for radiotherapy.
机译:呼吸相关锥梁CT(CBCT)不仅抑制了由于LINAC头部龙头齿轮龙头旋转的速度慢的速度慢,而且由于在该过程中递送的高辐射剂量,其对常规患者成像的实现是不切实际的。数字Tomosynthesis(DTS)是一种潜在更快的技术,通过减少有限角度范围内的突起的数量来提供更低的辐射剂量。遗憾的是,由于每个呼吸相位箱中的稀疏采样突起,4D-DTS在重建的图像中引入强大的混叠伪像。作者在此提出了一种新颖的低剂量4D-DTS图像重建方法,其使用蛮力的自适应加权参数搜索技术实现锯齿伪像的发生和图像平滑之间的折衷。我们使用了安装有平板探测器的原型LinaC系统,用于在前后(AP)和侧视图中的虚线中获取呼吸运动的Tomosynest突起。包括传统过滤的背部投影(FBP)的三种不同的4D-DTS图像重建方案,在凸组(ASD-POC)上,以及所提出的基于强力的自适应总变化(BF-ATV)的自适应截头下降投影两个不同的呼吸相位箱,适用于AP和侧面视图。使用单个GPU卡加速所有重建以减少计算时间。为了在各种稀疏条件下研究算法的性能,我们在三种不同的龙门扫描模式下操作了原型系统。结果表明,所提出的BF-ATV方法在使用慢架扫描模式和来自中等和快速扫描模式的稀疏数据集之间获取的地基数据集之间的差异图像中的最大结构相似性。此外,与传统的FBP和ASD-POCS方法相比,所提出的方法以较少的条纹线和锐度损失小,与较少的条纹线保持较小。总之,所提出的低剂量4D-DTS重建方案可以在其快速扫描方面提供更好的性能。因此,可能适用于用于放射治疗的实际4D成像。

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