Melo Pedro, Vasconcelos Germano, Diniz Paula, França Cleunio, Diniz Jéssica, Novaes Magdala
Informatics Center - CIn, Federal University of Pernambuco, PE, Brazil.
Stud Health Technol Inform. 2013;192:1176.
Recently has grown the development of Computer-aided Detection Systems - CAD to improve the diagnosis of diseases identifying it at the initials stages using medical images. In this work is made a analysis of the performance of an algorithm for lung region extraction in computed tomography exams - CT. The implementation was made in MATLAB and applied to 9 CT scans of patients with lung disease (corresponding to a set of 479 images). The detection of image lung boundaries were classified by an expert radiologist as "Good" and "Poor" according the presence of errors. The results showed deficiencies which damage the algorithm performance, only 52% of the images were rated as "Good" . The problems identified were listed, and when resolved will give the needed quality to the process to be used by radiologist doctors in the patient care.
最近，计算机辅助检测系统（CAD）得到了发展，旨在通过医学图像在疾病的初始阶段进行识别，从而改善疾病诊断。在这项工作中，对计算机断层扫描（CT）检查中肺区域提取算法的性能进行了分析。该算法在MATLAB中实现，并应用于9例肺病患者的CT扫描（对应479幅图像）。根据错误的存在情况，由专业放射科医生将图像肺边界的检测分类为“良好”和“较差”。结果显示存在一些缺陷，影响了算法性能，只有52%的图像被评为“良好”。列出了所发现的问题，解决这些问题后将为放射科医生在患者护理中使用该流程提供所需的质量。
