ISSN 1004-4140
CN 11-3017/P
XIANG Zi-yun, SHI Chang-zheng, ZHOU Jie, ZHAN Yong, LUO Liang-ping. Application of Gray-scale Texture Feature in the Diagnosis of Pulmonary Nodules on CT Imaging[J]. CT Theory and Applications, 2013, 22(1): 155-160.
Citation: XIANG Zi-yun, SHI Chang-zheng, ZHOU Jie, ZHAN Yong, LUO Liang-ping. Application of Gray-scale Texture Feature in the Diagnosis of Pulmonary Nodules on CT Imaging[J]. CT Theory and Applications, 2013, 22(1): 155-160.

Application of Gray-scale Texture Feature in the Diagnosis of Pulmonary Nodules on CT Imaging

More Information
  • Received Date: August 11, 2012
  • Available Online: December 12, 2022
  • Objective:To explore the value of image texture analysis in the diagnosis of pulmonary nodules.Methods:104 cases of pulmonary nodules were collected,all of which were confirmed by pathology.The level set model was used to extract and segment the lung nodule automatically.The features of energy,contrast,correlation,homogeneity and entropy in pulmonary nodules were calculated by gray-level co-occurrence matrix,which were compared between the benign and malignant lung nodules.Results:The characteristics of energy,contrast,correlation,homogeneity and entropy have significant statistical difference between benign and malignant pulmonary nodules(P< 0.05).The means of energy,homogeneity,correlation in benign nodules are greater than that in malignant nodules while the means of contrast and entropy in benign nodules are less than that of malignant nodules.Conclusion:The texture characteristics in pulmonary benign nodules are gray relatively uniform,local texture regular,relatively little contrast in gray,while that in pulmonary malignant nodules are local texture tangle some,gray uneven distribution,marked gray contrast,so the image texture features have important value in the diagnosis of lung nodules.
  • Related Articles

    [1]WANG Ran, YANG Jian, CHEN Yue, WANG Wei, LAN Jiujun, CHEN Junrong. Correlation Between MRI Changes and Bone Mineral Density in Patients with Knee Osteoarthritis[J]. CT Theory and Applications, 2024, 33(5): 601-608. DOI: 10.15953/j.ctta.2024.024
    [2]HE Weihong, FU Xi, FANG Tingsong, WANG Guining, WANG Juan. Application Value of Segond Fracture Imaging Features in Lateral Knee Instability[J]. CT Theory and Applications, 2023, 32(6): 771-776. DOI: 10.15953/j.ctta.2022.112
    [3]SHEN Le, LU Qian, TANG Hu, WU Sha, YI Yi, SUN Yunda, QIU Qian, ZHANG Li, ZHENG Zhuozhao, CAI Xu. A Feasibility Study of Knee Joint Semantic Segmentation on 3D MR Images[J]. CT Theory and Applications, 2022, 31(5): 531-542. DOI: 10.15953/j.ctta.2022.091
    [4]JIAO Yan, ZHANG Dan, LI Gaoyang, LI Guiping, WU Weina. Study on the Relationship between Cartilage Injury of Knee Tibiofemoral Joint and Joint Axis Angle[J]. CT Theory and Applications, 2019, 28(1): 53-60. DOI: 10.15953/j.1004-4140.2019.28.01.06
    [5]LIU Cheng-lei, XI Yan, ZUO Hou-dong, YANG Chun-ming, YAO Wei-wu. Three-dimensional Imaging of Articular Cartilage in Human Using Synchrotron Radiation Micro-computer Tomography[J]. CT Theory and Applications, 2015, 24(6): 793-799. DOI: 10.15953/j.1004-4140.2015.24.06.04
    [6]CAO Jian-xin, KONG Xiang-quan, WANG Yi-min, YANG Cheng, ZHUANG Feng-gang, ZHANG Yu. Feasibility of Diagnosis in Cruciate Anterior Ligament Injuries in the Knee Using Dual-energy CT[J]. CT Theory and Applications, 2015, 24(2): 161-167. DOI: 10.15953/j.1004-4140.2015.24.02.02
    [7]DING Chang-qing, PAN Rong-lei, XU Ruo-feng, DING Ai-lan, LIU De-hai, SUN Ying-ying, LUO Hui, DAI Lan-lan. MRI Findings of the Subcutaneous Prepatellar Bursitis[J]. CT Theory and Applications, 2014, 23(5): 851-856.
    [8]YUAN Jian-xiang, ZHANG Jia-xiong, FANG Ting-song, YI Li-lei, SUN Yang. CT and MRI Analysis of Gouty Arthritis in the Knee[J]. CT Theory and Applications, 2014, 23(3): 489-496.
    [9]YUE Yun-long, HAN Hong-bin. Hyaline Cartilage Imaging with Improved FS-3D-TrueFISP Sequence:Comparison with Conventional Sequences[J]. CT Theory and Applications, 2007, 16(2): 80-85.
    [10]Yu Bingbing, Li Guoying, Li Jie. Application of STIR Sequence in The Lesion of Knee[J]. CT Theory and Applications, 2000, 9(2): 22-23.

Catalog

    Article views (1027) PDF downloads (8) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return