Graph-Based Small Bowel Path Tracking with Cylindrical Constraints

TL;DR

This paper introduces a graph-based small bowel path tracking method utilizing cylindrical constraints to improve accuracy in challenging cases where the bowel's contact points cause traditional methods to fail.

Contribution

It proposes a novel cylindrical constraint-based cost function for more reliable small bowel path tracking in CT scans, addressing issues caused by organ contact and indistinct walls.

Findings

Achieved 6.6% and 17.0% improvements in tracked length over baseline.

Successfully tracked complete paths from start to end in all tested cases.

Demonstrated robustness against organ contact and wall indistinctness.

Abstract

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.