Multi-shape graph cuts with neighbor prior constraints and its application to lung segmentation from a chest CT volume

作者：Nakagomi Keita; Shimizu Akinobu^*; Kobatake Hidefumi; Yakami Masahiro; Fujimoto Koji; Togashi Kaori

来源：Medical Image Analysis, 2013, 17(1): 62-77.

DOI：10.1016/j.media.2012.08.002

• Graph cuts
• Multi-shape
• Lung segmentation
• Neighbor constraint
• CT image

This paper presents a novel graph cut algorithm that can take into account multi-shape constraints with neighbor prior constraints, and reports on a lung segmentation process from a three-dimensional computed tomography (CT) image based on this algorithm. The major contribution of this paper is the proposal of a novel segmentation algorithm that improves lung segmentation for cases in which the lung has a unique shape and pathologies such as pleural effusion by incorporating multiple shapes and prior information on neighbor structures in a graph cut framework. We demonstrate the efficacy of the proposed algorithm by comparing it to conventional one using a synthetic image and clinical thoracic CT volumes.

• 出版日期2013-1