论文标题
数字胸部的肋骨抑制
Rib Suppression in Digital Chest Tomosynthesis
论文作者
论文摘要
数字胸部间压合成（DCT）是一种生成人体胸部的截面3D图像进行肺部疾病筛查的技术，其2D X射线投影在极为有限的角度范围内进行。但是，在有限的角度方案下，DCT包含由肋骨的存在引起的强伪影，堵塞了肺部区域的成像质量。最近，在单个X射线图像中取得肋骨抑制已取得了巨大进展，以揭示更清晰的肺纹理。首先，我们将肋骨抑制问题扩展到软件级别的3D情况。我们提出了$ \ textbf {t} $ omosynsis $ \ textbf {ri} $ b su $ $ \ textbf {p} $ pression和$ \ textbf {l} $ ung $ \ ung $ \ ung $ \ textbf {e} Triple-NET从2D和3D域中获得了优势，这些域分别用精确的FBP程序和3D深度信息对DCT中的肋骨进行建模。对模拟数据集和临床数据的实验表明，三个NET保存肺细节的有效性以及提高肺部疾病的成像质量。最后，一项专家用户研究证实了我们的发现。
Digital chest tomosynthesis (DCT) is a technique to produce sectional 3D images of a human chest for pulmonary disease screening, with 2D X-ray projections taken within an extremely limited range of angles. However, under the limited angle scenario, DCT contains strong artifacts caused by the presence of ribs, jamming the imaging quality of the lung area. Recently, great progress has been achieved for rib suppression in a single X-ray image, to reveal a clearer lung texture. We firstly extend the rib suppression problem to the 3D case at the software level. We propose a $\textbf{T}$omosynthesis $\textbf{RI}$b Su$\textbf{P}$pression and $\textbf{L}$ung $\textbf{E}$nhancement $\textbf{Net}$work (TRIPLE-Net) to model the 3D rib component and provide a rib-free DCT. TRIPLE-Net takes the advantages from both 2D and 3D domains, which model the ribs in DCT with the exact FBP procedure and 3D depth information, respectively. The experiments on simulated datasets and clinical data have shown the effectiveness of TRIPLE-Net to preserve lung details as well as improve the imaging quality of pulmonary diseases. Finally, an expert user study confirms our findings.
