An automatic random walk based method for 3D segmentation of the heart in cardiac computed tomography images
Vy Bui, Li‐Yueh Hsu, Lin‐Ching Chang, Marcus Y. Chen · 2018
Cardiac Computed Tomography (CT) is an important imaging modality for diagnosing cardiovascular disease. Heart segmentation from CT scans is a prerequisite for clinical interpretation, providing critical information for quantitative analysis of the heart and coronary structures. This paper presents a fully automated algorithm for heart segmentation based on the random walk model and automated initial seeds detection. The performance of the method is evaluated on a cardiac CT dataset of 58 subjects using manual segmentation as a reference standard. We show the results of our method are similar to the reference standard and are comparable to the results from a commercial product. We also demonstrate our automated method can reliably segment other tissue structures in cardiac CT images.