International Journal of Medical Imaging

Volume 4, Issue 6, November 2016

  • Evaluation of Tracheobronchial Lesions with Virtual Bronchoscopy; Correlation with Fiber Optic Bronchoscopy

    Raza Sayani, Asad Afridi, Saad Siddiqui, Jawaid Iqbal, Ali Abbas

    Issue: Volume 4, Issue 6, November 2016
    Pages: 48-51
    Received: Sep. 12, 2016
    Accepted: Oct. 07, 2016
    Published: Nov. 18, 2016
    DOI: 10.11648/j.ijmi.20160406.11
    Abstract: The aim of this study was to compare the diagnostic accuracy of 3-D virtual bronchoscopy (VB) with that of Fiber-optic (FB) bronchoscopy in patients who had symptoms of respiratory disorders. Thirty patients underwent VB examination. Thin section helical computerized tomography (CT) image were obtained. The volumetric data was downloaded to a works... Show More
  • Gallstones: Site, Size, Number, Prevalence and Complications by Ultrasonography

    Sultan Alshoabi

    Issue: Volume 4, Issue 6, November 2016
    Pages: 52-56
    Received: Oct. 22, 2016
    Accepted: Nov. 04, 2016
    Published: Dec. 12, 2016
    DOI: 10.11648/j.ijmi.20160406.12
    Abstract: This study was undertaken to determine the common sites, sizes, number, complications and the prevalence of gallstones at Almadinah Almunawwarah in Saudi Arabia that is a common medical problem in this region even in young adults and not satisfied by enough previous studies. This was a descriptive retrospective study in which screening of 1018 case... Show More
  • A BP Neural Networks Algorithm for High Resolution of Biomedical Modeling and Image Segmentation

    Zheng Xiang, Hui Xie, Junhao Li, Zhengying Cai

    Issue: Volume 4, Issue 6, November 2016
    Pages: 57-69
    Received: Oct. 23, 2016
    Accepted: Nov. 07, 2016
    Published: Dec. 29, 2016
    DOI: 10.11648/j.ijmi.20160406.13
    Abstract: High resolution of image segment algorithm plays a very important role in biomedical modeling and diagnosis, which is difficult to be easily solved by traditional algorithms. This article presents a biomedical image segment algorithm based on computational intelligence. First, an assessment method for image resolution is proposed here, and some rel... Show More