Shin Seung Yeon, Lee Sungwon, Summers Ronald M
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory Radiology and Imaging Sciences, National Institutes of Health Clinical Center, USA.
Proc IEEE Int Symp Biomed Imaging. 2022 Mar;2022. doi: 10.1109/isbi52829.2022.9761423. Epub 2022 Apr 26.
We present a new graph-based method for small bowel path tracking based on cylindrical constraints. A distinctive characteristic of the small bowel compared to other organs is the contact between parts of itself along its course, which makes the path tracking difficult together with the indistinct appearance of the wall. It causes the tracked path to easily cross over the walls when relying on low-level features like the wall detection. To circumvent this, a series of cylinders that are fitted along the course of the small bowel are used to guide the tracking to more reliable directions. It is implemented as soft constraints using a new cost function. The proposed method is evaluated against ground-truth paths that are all connected from start to end of the small bowel for 10 abdominal CT scans. The proposed method showed clear improvements compared to the baseline method in tracking the path without making an error. Improvements of 6.6% and 17.0%, in terms of the tracked length, were observed for two different settings related to the small bowel segmentation.
我们提出了一种基于圆柱约束的新型小肠路径跟踪的基于图形的方法。与其他器官相比，小肠的一个显著特征是其自身各部分在其行程中相互接触，这使得路径跟踪变得困难，同时肠壁外观不清晰。当依赖于诸如壁检测等低级特征时，这会导致跟踪路径很容易穿过肠壁。为了规避这个问题，沿着小肠行程拟合的一系列圆柱体被用于将跟踪引导到更可靠的方向。它使用新的成本函数作为软约束来实现。针对10例腹部CT扫描，将所提出的方法与从小肠起点到终点全部相连的真实路径进行评估。所提出的方法在跟踪路径且不产生错误方面与基线方法相比有明显改进。在与小肠分割相关的两种不同设置下，在跟踪长度方面分别观察到了6.6%和17.0%的改进。
