基于非标准CT图像的骨肿瘤自动检测方法

Hatice Catal Reis, Bulent Bayram
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引用次数: 0

摘要

图像处理技术应用于许多科学领域。这项研究旨在检测足部肿瘤,并通过计算机断层扫描(CT)创建3D模型,以及产生生物识别数据。从服务器获取CT图像1 039张。使用的参数是64个探测器的准直,扫描厚度为0,5-3 mm,像素尺寸为512 x 512,辐射分辨率为16位灰度级。在CT扫描上进行降噪、分割和形态学分析以检测骨肿瘤。此外,本研究使用数字图像处理技术创建了骨肿瘤的虚拟三维(3D)模型。通过分析受体工作特性(ROC)来评估我们的建议的性能。结果显示,肿瘤检测的敏感性、特异性和精确性分别为0.96、1%和0.98%,平均f值为0.99%。放射科医生的报告用于比较。提出的通过CT检测足部骨肿瘤的技术可以帮助放射科医生提高精度、灵敏度、特异性和F-measure。该方法可以通过对异常的多向量化来提高足部和踝关节肿瘤的诊断。
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An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images
Image processing techniques are applied in many fields of science. This study aims to detect tumors in the foot and create 3D models via computed tomography (CT), as well as to produce biometric data. 1 039 CT images were obtained from a server. The parameters used were a collimation of 64 detectors, a scanning thickness of 0,5-3 mm, and a pixel size of 512 x 512, with a radiometric resolution of the 16-bit gray levels. Noise reduction, segmentation, and morphological analysis were performed on CT scans to detect bone tumors. In addition, this study used digital image processing techniques to create a virtual three-dimensional (3D) model of bone tumors. The performance of our proposal was evaluated by analyzing the receptor operating characteristics (ROC). According to the results, the sensitivity, specificity, and precision in tumor detection were 0,96, 1, and 0,98%, respectively, with a 0,99% average F-measure. Radiologist reports were used for the sake of comparison. The proposed technique for detecting bone tumors of the foot via CT can help radiologists with its increased precision, sensitivity, specificity, and F-measure. This method could improve the diagnosis of foot and ankle tumors by allowing for the multidirectional quantification of abnormalities.
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