一种用于 CTA 图像中肺栓塞检测的新方法。

A novel method for pulmonary embolism detection in CTA images.

机构信息

Fatih Sultan Mehmet Vakıf University, Department of Biomedical Engineering, Istanbul, Turkey.

Arel University, Department of Electrical and Electronics Engineering, Istanbul, Turkey.

出版信息

Comput Methods Programs Biomed. 2014 Mar;113(3):757-66. doi: 10.1016/j.cmpb.2013.12.014. Epub 2013 Dec 30.

DOI:10.1016/j.cmpb.2013.12.014

PMID:24440133

Abstract

In this paper, we propose a new computer-aided detection (CAD) - based method to detect pulmonary embolism (PE) in computed tomography angiography images (CTAI). Since lung vessel segmentation is the main objective to provide high sensitivity in PE detection, this method performs accurate lung vessel segmentation. To concatenate clogged vessels due to PEs, the starting region of PEs and some reference points (RPs) are determined. These RPs are detected according to the fixed anatomical structures. After lung vessel tree is segmented, the region, intensity, and size of PEs are used to distinguish them. We used the data sets that have heart disease or abnormal tissues because of lung disease except PE in this work. According to the results, 428 of 450 PEs, labeled by the radiologists from 33 patients, have been detected. The sensitivity of the developed system is 95.1% at 14.4 false positive per data set (FP/ds). With this performance, the proposed CAD system is found quite useful to use as a second reader by the radiologists.

摘要

在本文中，我们提出了一种新的基于计算机辅助检测（CAD）的方法，用于在计算机断层血管造影图像（CTAI）中检测肺栓塞（PE）。由于肺血管分割是提供高灵敏度 PE 检测的主要目标，因此该方法可实现准确的肺血管分割。为了连接由于 PE 而堵塞的血管，确定了 PE 的起始区域和一些参考点（RP）。这些 RP 根据固定的解剖结构来检测。在分割肺血管树之后，使用 PE 的区域、强度和大小来区分它们。在这项工作中，我们使用了除 PE 之外还患有心脏病或肺部疾病异常组织的数据集。根据结果，已经检测到了来自 33 名患者的放射科医生标记的 450 个 PE 中的 428 个。该开发系统的灵敏度为每数据集 14.4 个假阳性（FP/ds）时为 95.1%。通过这种性能，发现所提出的 CAD 系统对于放射科医生作为第二读者非常有用。