Edge detection algorithms applied to quantitative analysis of X-ray image of osteoma

被引:0
|
作者
Wu, ZX [1 ]
Chen, SQ [1 ]
Cheng, JZ [1 ]
机构
[1] Xi An Jiao Tong Univ, Dept Biomed Engn, Xian 710049, Shaanxi, Peoples R China
来源
PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 20, PTS 1-6: BIOMEDICAL ENGINEERING TOWARDS THE YEAR 2000 AND BEYOND | 1998年 / 20卷
关键词
edge detection; osteoma; quantitative analysis;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Quantitative analysis of morphological parameters in clinical diagnosis is more efficient than qualitative analysis. But since the absorptivity of tumour is similar with the tissues around it, and the X-ray image of osteoma has inhomogeneous illumination, the edge of disease area is not clear, traditional edge detection algorithms are not successfully used. In this paper, we apply a radial search algorithm to detect the edge of osteoma. As shown in experiments the extracted edge by this algorithm is true, and the edge possesses accurate location and good continuity. It is suited for quantitative analysis of X-ray image of osteoma, the results provide scientific and objective evidences for clinic diagnosis and cure.
引用
收藏
页码:728 / 729
页数:2
相关论文
共 50 条
  • [21] An improved edge detection algorithm for X-Ray images based on the statistical range
    Bharodiya, Anil K.
    Gonsai, Atul M.
    HELIYON, 2019, 5 (10)
  • [22] Accurate detection of image edge: Comparison of different algorithms
    Fu R.
    International Journal of Mechatronics and Applied Mechanics, 2020, 1 (07): : 119 - 123
  • [23] Edge detection of texture image using genetic algorithms
    Yoshimura, M
    Oe, S
    SICE '97 - PROCEEDINGS OF THE 36TH SICE ANNUAL CONFERENCE, INTERNATIONAL SESSION PAPERS, 1997, : 1261 - 1266
  • [24] Recent trends in quantitative aspects of microscopic X-ray fluorescence analysis
    Janssens, Koen
    De Nolf, Wout
    Van Der Snickt, Geert
    Vincze, Laszlo
    Vekemans, Bart
    Terzano, Roberto
    Brenker, Frank E.
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2010, 29 (06) : 464 - 478
  • [25] Quantitative analysis of energetic materials with X-ray diffraction and Rietveld refinement
    Herrmann, M
    Engel, W
    EUROPEAN POWDER DIFFRACTION, PTS 1 AND 2, 2000, 321-3 : 60 - 64
  • [26] Application of an edge detection algorithm for surface determination in industrial X-ray computed tomography
    Busch, Matthias
    Hausotte, Tino
    PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT, 2022, 16 (2-3): : 411 - 422
  • [27] Quantitative analysis of δ, γ and γ phases in inconel 718 by X-ray diffraction method
    Li, RB
    Cai, DY
    Zhang, WH
    Liu, WC
    Yao, M
    PRICM 4: FORTH PACIFIC RIM INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS AND PROCESSING, VOLS I AND II, 2001, : 2511 - 2513
  • [28] Fuzzy inference system for detection CT and X-Ray image's edges
    Jabbar, Shaima Ibraheem
    Aladi, Abathar Qahtan Omran
    2024 IEEE 18TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES, AICT 2024, 2024,
  • [29] Quantitative analysis of biologic specimens by X-ray scanning analytic microscopy
    Uo, M
    Tanaka, M
    Watari, F
    JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART B-APPLIED BIOMATERIALS, 2004, 70B (01): : 146 - 151
  • [30] Application of an edge detection algorithm for surface determination in industrial X-ray computed tomography
    Matthias Busch
    Tino Hausotte
    Production Engineering, 2022, 16 : 411 - 422