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Fusion of MRI and CT

G.R. Gnana King

Abstract


Medical imaging plays a vital role in diagnosing diseases in medical field. Useful information from two or more recorded medical images is integrated into a new image. Magnetic Resonance Imaging (MRI) gives Brightness of soft tissues and Compute Tomography (CT) gives information about hard tissues. This method helps to analyze human brain without surgery. From the extracted image area of tumor is detected using skull segmentation analysis. Accurate detection of location and area plays a vital role in tumor diagnosis. By Neuro–Fuzzy classification Tumor is classified based on its area. And the severity of tumor is understood. If the area is more than the condition of the patient is more critical.

 

Keywords: Brain tumor, magnetic resonance imaging (MRI), computed tomography (CT), discrete wavelet transform (DWT), feed forward neural network (FFNN), skull stripping, thresholding, segmentation


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References


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Ambily P.K., James S.P., Mohan R.R. Brain Tumor Detection using Image Fusion and Neural Network. International Journal of Engineering Research and General Science. Volume 3, Issue 2, March-April, 2015 ISSN 2091-2730.


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