NDLI: Robust spatial information based tumour detection for brain MR images

Content Provider	IET Digital Library
Author	Maharana, A. Patra, D. Pradhan, S.
Abstract	Multimodal brain MR image analysis is still a challenging research area due to its complex intensity distribution and sensitivity towards the noise. Tumourous cells have different characteristics than normal human cells, which makes them more salient. In this Letter, the authors propose a novel unsupervised spatial information based saliency boosting tumour detection method which will help to identify tumourous cells by making it more clearly visible. Initially, a pseudo-coloured MR image is formed using the CIELab colour space. Saliency map has been established by calculating distance among scales varying elliptical windows in both spatial and colour space. Elliptical windows endeavour to cover-up curved outliers of the brain images. The average intensity value is kept constant by fixing the axis ratio for each window. The proposed algorithm has been evaluated on both real and simulated brain images of different patients from MICCAI-BRATS database. The performance analysis of the new algorithm exhibits higher accuracy with a low computational complexity as compared to other state of the art. The efficacy is due to the immobility of the window across rows and columns to move over the image. The novelty of the proposed technique is that neither it downscales the input images nor require any training bases.
Starting Page	1398
Ending Page	1400
Page Count	3
ISSN	00135194
Volume Number	56
e-ISSN	1350911X
Issue Number	Issue 25, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/56/25
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2020.2703
Journal	Electronics Letters
Publisher Date	2020-11-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Axis Ratio Biology And Medical Computing Biomedical Magnetic Resonance Imaging Biomedical MRI Brain CIELab Colour Space Complex Intensity Distribution Computational Complexity Computer Vision And Image Processing Technique Elliptical Windows Image Colour Analysis Input Image Intensity Value Medical Image Processing Medical Magnetic Resonance Imaging And Spectroscopy MICCAI-BRATS Database Multimodal Brain MR Image Analysis Normal Human Cell Object Detection Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Performance Analysis Pseudocoloured MR Image Robust Spatial Information Based Tumour Detection Saliency Map Simulated Brain Image Spatial Space Spectroscopy Tumourous Cell Tumours Unsupervised Spatial Information Based Saliency
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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