• DocumentCode
    2663652
  • Title

    Cervix Detection Using Squared Error Subtraction

  • Author

    Pahl, Christina ; Supriyanto, Eko ; Mahmood, N.H.B. ; Yunus, Jasmy

  • Author_Institution
    Fac. of Health Sci. & Biomed. Eng., Univ. of Technol. Malaysia, Skudai, Malaysia
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    121
  • Lastpage
    125
  • Abstract
    In order to reduce uncomfortable cervix screening either using Pap smear or transvaginal ultrasound scanning, an autonomous transabdominal ultrasound scanning is proposed. This requires an exact probe position and angulation to capture the cervix image. In this paper, we present a new method to detect cervix in the best position and angulation. More than 100 samples were processed and analyzed. Image enhancement of the ultrasound image data was performed before further processing and cervix detection. The best cervix ultrasound image was used as a reference template for analysis. The correlation between template and target image was compared using squared error subtraction of histograms. Test results show that taking a different rate threshold at 0.075, an accuracy of 100% for cervix identification is achieved. This method is very efficient since it uses a simple algorithm and requires low memory capacity. This technique will be powerful to be used for real time autonomous scanning of cervix for surgical monitoring or acceptable operator-independent cervix screening.
  • Keywords
    biomedical ultrasonics; image enhancement; medical image processing; object detection; surgery; Pap smear; autonomous transabdominal ultrasound scanning; cervix detection; cervix identification; exact probe angulation; exact probe position; histogram squared error subtraction; image enhancement; operator-independent cervix screening; reference template; surgical monitoring; target image; template image; transvaginal ultrasound scanning; Computed tomography; Histograms; Magnetic resonance imaging; Probes; Transducers; Ultrasonic imaging; cervix screening; histogram subtraction; image enhancement; localization; transabdominal ultrasound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling Symposium (AMS), 2012 Sixth Asia
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4673-1957-7
  • Type

    conf

  • DOI
    10.1109/AMS.2012.56
  • Filename
    6243933