Lung Tumor Segmentation Using Electric Flow Lines for Graph Cuts

Abstract

Abstract. Lung cancer is the most common cause of cancer-related death. A common treatment is radiotherapy where the lung tumors are irradiated with ionizing radiation. The treatment is typically fractionated, i.e. spread out over time, allowing healthy tissue to recover between treatments and allowing tumor cells to be hit in their most sensitive phase. Changes in tumors over the course of treatment allows for an adaptation of the radiotherapy plan based on 3D computer tomography imaging. This paper introduces a method for segmentation of lung tumors on consecutive computed tomography images. These images are normally only used for correction of movements. The method uses graphs based on electric ow lines. The method o ers several advantages when trying to replicate manual segmentations. The method gave a dice coecient of 0.85 and performed better than level set methods and deformable registration.

Automatic lung tumor segmentation with leaks removal in follow-up CT studies

“…Lung follow-up studies Hollensen et al [6] address the task of follow-up studies of lung tumors. Their method starts with manual rough positioning followed by rigid registration between the baseline and the follow-up scans.…”