Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application:

SAGE Open Medicine

JanEgger¹ 

关键词: Segmentation;    vertebral body;    GrowCut;    magnetic resonance imaging;    Dice Score;   

DOI  :  10.1177/2050312117740984

学科分类：医学（综合）

来源: Sage Journals

【 摘 要 】

Objectives:Spinal diseases are very common; for example, the risk of osteoporotic fracture is 40% for White women and 13% for White men in the United States during their lifetime. Hence, the total number of surgical spinal treatments is on the rise with the aging population, and accurate diagnosis is of great importance to avoid complications and a reappearance of the symptoms. Imaging and analysis of a vertebral column is an exhausting task that can lead to wrong interpretations. The overall goal of this contribution is to study a cellular automata-based approach for the segmentation of vertebral bodies between the compacta and surrounding structures yielding to time savings and reducing interpretation errors.Methods:To obtain the ground truth, T2-weighted magnetic resonance imaging acquisitions of the spine were segmented in a slice-by-slice procedure by several neurosurgeons. Subsequently, the same vertebral bodies have been segmented by a physician using the cellular automata approach GrowCut.Results:...

【 授权许可】

CC BY