scholarly journals An ANN Based Brain Abnormality Detection Using MR Images

2013 ◽  
Author(s):  
Kulhalli K.V ◽  
Khot S.R
Keyword(s):  
Abnormality Detection ◽  
Mr Images ◽  
Brain Abnormality

Evaluation of Ischemic Stroke Region From CT/MR Images Using Hybrid Image Processing Techniques

2018 ◽  
pp. 194-219 ◽  
Author(s):  
Rajinikanth V. ◽  
Suresh Chandra Satapathy ◽  
Nilanjan Dey ◽  
Hong Lin
Keyword(s):  
Image Processing ◽  
Ischemic Stroke ◽  
Hybrid Approach ◽  
Rapid Onset ◽  
Processing Technique ◽  
Experimental Result ◽  
Mr Images ◽  
Brain Abnormality ◽  
Social Group Optimization ◽  
The Brain

An ischemic stroke (IS) naturally originates with rapid onset neurological shortfall, which can be verified by analyzing the internal regions of brain. Computed tomography (CT) and magnetic resonance image (MRI) are the commonly used non-invasive medical examination techniques used to record the brain abnormalities for clinical study. In order to have a pre-opinion regarding the brain abnormality in clinical level, it is essential to use a suitable image processing tool to appraise the digital CT/MR images. In this chapter, a hybrid image processing technique based on the social group optimization assisted Tsallis entropy and watershed segmentation (WS) is proposed to examine ischemic stroke region from digital CT/MR images. For the experimental study, the digital CT/MRI datasets like Radiopedia, BRATS-2013, and ISLES-2015 are considered. Experimental result of this study confirms that, proposed hybrid approach offers superior results on the considered image datasets.

Diagnosis of Brain Abnormality Using both Structural and Functional MR Images

2006 ◽  
Author(s):  
Yong Fan ◽  
Hengyi Rao ◽  
Joan Giannetta ◽  
Hallam Hurt ◽  
Jiongjiong Wang ◽  
...  
Keyword(s):  
Mr Images ◽  
Brain Abnormality
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