• DocumentCode
    1851718
  • Title

    Techniques on semiautomatic segmentation using the Adobe Photoshop

  • Author

    Hwang, Yoon Lk ; Chung, Min Suk ; Park, Jin Seo ; Hwang, Sung Bae

  • Author_Institution
    Dept. of Anatomy, Ajou Univ. Sch. of Medicine, Suwon, South Korea
  • fYear
    2005
  • fDate
    23-25 June 2005
  • Firstpage
    411
  • Lastpage
    414
  • Abstract
    The purpose of this research is to enable anybody to semiautomatically segment the anatomical structures in the MRIs, CTs, and other medical images on the personal computer. The segmented images are used for making 3D images, which are helpful in medical education and research. To achieve this purpose, the following trials were performed. The entire body of a volunteer was scanned to make 557 MRIs. On Adobe Photoshop, contours of 19 anatomical structures in the MRIs were semiautomatically drawn using MAGNETIC LASSO TOOL and manually corrected using either LASSO TOOL or DIRECT SELECTION TOOL to make 557 segmented images. In a likewise manner, 13 anatomical structures in the 8,590 anatomical images were segmented. Also 12 anatomical structures in the 790 brain anatomical images and 10 anatomical structures in the 640 heart anatomical images were segmented. Proper segmentation was verified by making 3D images from the segmented images. The semiautomatic segmentation using Adobe Photoshop is expected to be widely used for segmentation of the anatomical structures in various medical images.
  • Keywords
    biomedical MRI; brain; cardiology; computerised tomography; image segmentation; medical image processing; 3D medical image; Adobe Photoshop; CT; MRI; anatomical structure; brain; direct selection tool; heart; lasso tool; magnetic lasso tool; medical education; personal computer; semiautomatic segmentation technique; Anatomical structure; Biomedical imaging; Bones; Heart valves; Image segmentation; Magnetic resonance imaging; Medical diagnostic imaging; Microcomputers; Skin; Stomach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005. Proceedings of 7th International Workshop on
  • Print_ISBN
    0-7803-8940-9
  • Type

    conf

  • DOI
    10.1109/HEALTH.2005.1500494
  • Filename
    1500494