恶性肺结节早期诊断智能识别相关技术综述

CAD for Identifying Malignant Lung Nodules in Early Diagnosis:A Survey

恶性肺结节早期诊断智能识别,对肺癌的诊断、提高5年生存率至关重要。在肺结节智能识别中,计算机辅助诊断发挥着极其重要的作用。恶性肺结节的智能识别关键点在于:(1)基于形态学特征识别恶性肺结节;(2)精确地测量肺结节的大小;(3)精确地确定生长率。本文就近年来恶性肺结节早期诊断智能识别相关技术和方法作一综述,包括肺实质分割、体数据的配准、肺结节的良/恶性识别等。

It is of paramount importance for the diagnosis and therapy of lung cancer, 5-year survival rate in that the early dignosis of malignant pulmonary nodules are made by intelligent identification successfully. As it stands, in intelligent identification of pulmonary nodules, computer-aided detection/diagnosis （CAD） plays the most important role. The key points of intelligent identification of pulmonary nodules are： （1） Detecting pulmonary nodules based on the characterization of nodule appearance; （2） Measuring accurately the nodule size; （3） Computing accurately the growth rate. This article presents a review on the basic technologies and methods of CAD for identifying malignant pulmonary nodules in the course of making early diagnosis, including lung segmentation, registration of volume data, identification of benign/malignant pulmonary nodule, and so on.