• Login
    View Item 
    •   Home
    • Research Publications
    • Engineering & Technology
    • Department of Electronics, Computing & Maths
    • View Item
    •   Home
    • Research Publications
    • Engineering & Technology
    • Department of Electronics, Computing & Maths
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UDORACommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjects

    My Account

    LoginRegister

    About and further information

    AboutOpen Access WebpagesOpen Access PolicyTake Down Policy University Privacy NoticeUniversity NewsTools for ResearchersLibraryUDo

    Statistics

    Display statistics

    Real-time automated image segmentation technique for cerebral aneurysm on reconfigurable system-on-chip.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Publisher version
    View Source
    Access full-text PDFOpen Access
    View Source
    Check access options
    Check access options
    Thumbnail
    Name:
    Zhai_2018_Real-time_automated_ ...
    Size:
    1.257Mb
    Format:
    PDF
    Description:
    Author Accepted Manuscript
    Download
    Authors
    Zhai, Xiaojun cc
    Eslami, Mohammad
    Hussein, Ealaf Sayed
    Filali, Maroua Salem
    Shalaby, Salma Tarek
    Amira, Abbes
    Bensaali, Faycal cc
    Dakua, Sarada
    Abinahed, Julien
    Al-Ansari, Abdulla
    Ahmed, Ayman Z.
    Show allShow less
    Affiliation
    University of Derby
    Qatar University
    Hamad Medical Corporation
    Hamad General Hospital
    Issue Date
    2018-05-03
    
    Metadata
    Show full item record
    Abstract
    Cerebral aneurysm is a weakness in a blood vessel that may enlarge and bleed into the surrounding area, which is a life-threatening condition. Therefore, early and accurate diagnosis of aneurysm is highly required to help doctors to decide the right treatment. This work aims to implement a real-time automated segmentation technique for cerebral aneurysm on the Zynq system-on-chip (SoC), and virtualize the results on a 3D plane, utilizing virtual reality (VR) facilities, such as Oculus Rift, to create an interactive environment for training purposes. The segmentation algorithm is designed based on hard thresholding and Haar wavelet transformation. The system is tested on six subjects, for each consists 512 × 512 DICOM slices, of 16 bits 3D rotational angiography. The quantitative and subjective evaluation show that the segmented masks and 3D generated volumes have admitted results. In addition, the hardware implement results show that the proposed implementation is capable to process an image using Zynq SoC in an average time of 5.2 ms.
    Citation
    Zhai, X. et al (2018) 'Real-time automated image segmentation technique for cerebral aneurysm on reconfigurable system-on-chip' Journal of Computational Science, Vol. 27, pp. 35-45.
    Publisher
    Elsevier
    Journal
    Journal of Computational Science
    URI
    http://hdl.handle.net/10545/622717
    DOI
    10.1016/j.jocs.2018.05.002
    Additional Links
    http://linkinghub.elsevier.com/retrieve/pii/S1877750317313005
    Type
    Article
    Language
    en
    ISSN
    18777503
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jocs.2018.05.002
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

    entitlement

     
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.