IMAGE-ANALYSIS METHODS FOR SOLITARY PULMONARY NODULE CHARACTERIZATION BY COMPUTED-TOMOGRAPHY

被引：41

作者：

CAVOURAS, D

PRASSOPOULOS, P

PANTELIDIS, N

机构：

[1] Department of Medical Instruments, School of Technological Applications, Technological Educational Institute of Athens, Athens

[2] Department of Diagnostic Radiology, Airforce General and V.A. Hospital, Athens

来源：

EUROPEAN JOURNAL OF RADIOLOGY | 1992年 / 14卷 / 03期

关键词：

IMAGE; ANALYSIS; PROCESSING; THORAX; SOLITARY PULMONARY NODULE; IMAGE ANALYSIS;

D O I：

10.1016/0720-048X(92)90079-O

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Computer software was designed for classifying solitary pulmonary nodules (SPNs) into benign and malignant from their CT images, using image analysis methods. The system made use of three features, computed from the CT density matrix of the SPN, and a class-discriminating algorithm. System evaluation was performed on 51 histologically confirmed SPNs of indeterminate CT diagnosis. Overall classification accuracy in distinguishing benign and malignant SPNs was 90.2%, while 83.3% of the benign and 93.9% of the malignant SPNs were correctly classified. The proposed system may be of value to the radiologist in assessing the probability of malignancy in patients with a solitary pulmonary nodule.

引用

页码：169 / 172

页数：4

共 16 条

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