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A Method to Recognize Anatomical Site and Image Acquisition View in X-ray Images.

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  • Author(s): Chang, Xiao; Mazur, Thomas; Li, H.; Yang, Deshan
  • Source:
    Journal of Digital Imaging (J DIGIT IMAGING), Dec2017; 30(6): 751-760. (10p)
  • Publication Type:
    Article - diagnostic images, research, tables/charts
  • Language:
    English
  • Additional Information
    • Affiliation:
      Department of Radiation Oncology , Washington University School of Medicine , St. Louis USA
    • Subject Terms:
    • Subject Terms:
    • Abstract:
      A method was developed to recognize anatomical site and image acquisition view automatically in 2D X-ray images that are used in image-guided radiation therapy. The purpose is to enable site and view dependent automation and optimization in the image processing tasks including 2D-2D image registration, 2D image contrast enhancement, and independent treatment site confirmation. The X-ray images for 180 patients of six disease sites (the brain, head-neck, breast, lung, abdomen, and pelvis) were included in this study with 30 patients each site and two images of orthogonal views each patient. A hierarchical multiclass recognition model was developed to recognize general site first and then specific site. Each node of the hierarchical model recognized the images using a feature extraction step based on principal component analysis followed by a binary classification step based on support vector machine. Given two images in known orthogonal views, the site recognition model achieved a 99% average F1 score across the six sites. If the views were unknown in the images, the average F1 score was 97%. If only one image was taken either with or without view information, the average F1 score was 94%. The accuracy of the site-specific view recognition models was 100%.
    • Journal Subset:
      Allied Health; Biomedical; Computer/Information Science; Double Blind Peer Reviewed; Peer Reviewed; USA
    • ISSN:
      0897-1889
    • MEDLINE Info:
      NLM UID: 9100529
    • Publication Date:
      20171120
    • Publication Date:
      20181203
    • DOI:
      http://dx.doi.org/10.1007/s10278-017-9981-6
    • Accession Number:
      126169907
  • Citations
    • ABNT:
      CHANG, X. et al. A Method to Recognize Anatomical Site and Image Acquisition View in X-ray Images. Journal of Digital Imaging, [s. l.], v. 30, n. 6, p. 751–760, 2017. DOI 10.1007/s10278-017-9981-6. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=rzh&AN=126169907. Acesso em: 20 set. 2020.
    • AMA:
      Chang X, Mazur T, Li H, Yang D. A Method to Recognize Anatomical Site and Image Acquisition View in X-ray Images. Journal of Digital Imaging. 2017;30(6):751-760. doi:10.1007/s10278-017-9981-6
    • APA:
      Chang, X., Mazur, T., Li, H., & Yang, D. (2017). A Method to Recognize Anatomical Site and Image Acquisition View in X-ray Images. Journal of Digital Imaging, 30(6), 751–760. https://doi.org/10.1007/s10278-017-9981-6
    • Chicago/Turabian: Author-Date:
      Chang, Xiao, Thomas Mazur, H. Li, and Deshan Yang. 2017. “A Method to Recognize Anatomical Site and Image Acquisition View in X-Ray Images.” Journal of Digital Imaging 30 (6): 751–60. doi:10.1007/s10278-017-9981-6.
    • Harvard:
      Chang, X. et al. (2017) ‘A Method to Recognize Anatomical Site and Image Acquisition View in X-ray Images’, Journal of Digital Imaging, 30(6), pp. 751–760. doi: 10.1007/s10278-017-9981-6.
    • Harvard: Australian:
      Chang, X, Mazur, T, Li, H & Yang, D 2017, ‘A Method to Recognize Anatomical Site and Image Acquisition View in X-ray Images’, Journal of Digital Imaging, vol. 30, no. 6, pp. 751–760, viewed 20 September 2020, .
    • MLA:
      Chang, Xiao, et al. “A Method to Recognize Anatomical Site and Image Acquisition View in X-Ray Images.” Journal of Digital Imaging, vol. 30, no. 6, Dec. 2017, pp. 751–760. EBSCOhost, doi:10.1007/s10278-017-9981-6.
    • Chicago/Turabian: Humanities:
      Chang, Xiao, Thomas Mazur, H. Li, and Deshan Yang. “A Method to Recognize Anatomical Site and Image Acquisition View in X-Ray Images.” Journal of Digital Imaging 30, no. 6 (December 2017): 751–60. doi:10.1007/s10278-017-9981-6.
    • Vancouver/ICMJE:
      Chang X, Mazur T, Li H, Yang D. A Method to Recognize Anatomical Site and Image Acquisition View in X-ray Images. Journal of Digital Imaging [Internet]. 2017 Dec [cited 2020 Sep 20];30(6):751–60. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=rzh&AN=126169907