• S.P.Velmurugan
• Ms.P.Mounika
• Ms.P.Usha
• Ms. P.Manaswitha

The process of integrating various modalities of medical images is known as image fusion. The medical image fusion is mainly used to detect and treat disease for the better diagnosis of brain tumor. Now a days, detection of tumor,analysis and treatment is the demanding task in health care applications .In this paper, we proposed a multimodality medical image fusion using social spider optimization (SSO). Here we consider two Medical images from different modalities Magnetic Resonance Imaging(MRI) and Computed Tomography (CT) as the input of the system and output is the fused image. Initially we enhance the input images by applying median filter for both the images which is used to remove the noise present in the input image. After the filtering process the images are decomposed using discrete wavelet transform (DWT) which produces four sub-band images namely HH, HL, LH and LL. After the decomposition process, the LL sub band coefficients of CT image (bone information) and HH, HL, LH sub band coefficients of MRI (soft tissue information) are added using adder1.The HH, HL, LH sub band coefficients of MRI and LL sub band coefficients of CT are added together. Finally, the source images are fused using the social spider optimization (SSO) algorithm.The proposed method contains more detailed information(both functional and anatomical).This fusion approach is validated using various fusion evaluation indexes

Magnetic Resonance Image (MRI), Computed Tomography (CT), Discrete wavelet Transform (DWT), Social Spider Optimization (SSO).

"A NOVEL APPROACH IN MEDICAL IMAGE FUSION USING SOCIAL SPIDER OPTIMIZATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.319-324, April-2019, Available :http://www.jetir.org/papers/JETIRBC06049.pdf

"A NOVEL APPROACH IN MEDICAL IMAGE FUSION USING SOCIAL SPIDER OPTIMIZATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp319-324, April-2019, Available at : http://www.jetir.org/papers/JETIRBC06049.pdf