Volume 8 Issue 4 - July 2017

  • 1. Identification of mass of tissue growth in brain region under the framework of image segmentation

    Authors : Kumar Gaurav Verma, Somsubhra Gupta, Debasree Mitra

    Pages : 179-186

    DOI : http://dx.doi.org/10.21172/1.84.28

    Keywords : Distance transformation, Edge Detection.Image complement, Image Filtration, 'Image Segmentation,MRI ,Malignancy,Watershed algorithm,Unnatural Growth,

    Abstract :

    Magnetic resonance imaging (MRI) or magnetic resonance tomography (MRT) is a medical imaging technique used in radiology to image the anatomy and the physiological processes of the body in both health and disease. There are MRI scanners which uses strong magnetic field and field gradient to form images of the body. To detect any type of growth in the brain region we can use this technique. Growths can me natural and unnatural. In this project we propose an image segmentation method to identify or detect any unnatural growth in brain region taking input as a Magnetic Resonance Imaging (MRI) image of the brain which has some unnatural growth. Whether the detected growth is tumor or cancer, this will be our future scope of the paper.

    Citing this Journal Article :

    Kumar Gaurav Verma, Somsubhra Gupta, Debasree Mitra, "Identification of mass of tissue growth in brain region under the framework of image segmentation", https://www.ijltet.org/journal_details.php?id=918&j_id=3858, Volume 8 Issue 4 - July 2017, 179-186, #ijltetorg