• DocumentCode
    257697
  • Title

    Non-invasive method for differentiating malignant and benign tumours, by the optimization of visual demonstration of MRI scans, using virtual instrument

  • Author

    Lakshmi, A. Pavani

  • Author_Institution
    VNR VJIET, Hyderabad, India
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    317
  • Lastpage
    320
  • Abstract
    This paper presents a non-invasive method to differentiate malignant and benign brain tumours using Lab VIEW Software. Brain tumours are atypical growth of cells in the brain[l]. It is important to diagnose these tumours as malignant or benign as early as possible after detection. Benign tumours are encapsulated and have a controlled growth whereas malignant tumours are not encapsulated and lead to necrosis and pushing aside of neighbouring tissue which causes the build-up of cerebral fluids and oedema in the brain compared to benign tumours. Hence, malignant tumours have a much more severe impact on the brain tissue than benign tumours. So far in clinical practice, only pathology tests have been used to diagnose tumours. This paper is a step towards non-invasive identification of malignant and benign tumours. Here a script was developed in N1 Vision Assistant software which identifies tumours based on the amount of oedema, fluids and infection in the brain which is reflected in MRI scans[2].
  • Keywords
    biomedical MRI; medical image processing; tumours; virtual instrumentation; LabVIEW software; MRI scan; N1 Vision Assistant software; benign brain tumour; magnetic resonance imaging; malignant brain tumour; noninvasive tumour identification; pathology tests; tumour diagnosis; tumour differentiation; virtual instrument; visual demonstration; Biomedical imaging; Cancer; Fluids; Instruments; Magnetic resonance imaging; Software; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2014.7032130
  • Filename
    7032130