T Parvathi
PG Scholar, Applied Electronics, Sardar Raja College of Engineering, Alangulam, Tirunelveli, Tamilnadu
B Bala Murugan
Head Of The Department of ECE, Sardar Raja College of Engineering, Alangulam, Tirunelveli, Tamilnadu
Download PDFMedical image fusion has been used to derive useful information from multimodality medical image data. The idea is to improve the image content by fusing images like computer tomography (CT) and magnetic resonance imaging (MRI) images, magnetic resonance imaging (MRI) provides better information on soft tissue whereas computed tomography (CT) provides better information about denser tissue. In this project a two stage multimodal fusion framework using cascaded combination of Stationary Wavelet Transform (SWT) and Non Sub-sampled Contourlet Transform (NSCT) domains is presented for images acquired using two distinct medical imaging sensor modalities (i.e. MRI and CT-Scan). The major advantage of using a cascaded combination of SWT and NSCT is to improve upon the shift variance, directionality and phase information in the finally fused image. The first stage employs Principal Component Analysis (PCA) algorithm in SWT domain to minimize the redundancy. Maximum fusion rule is then applied in NSCT domain at second stage to enhance contrast of the diagnostic features.
Keywords: Medical Image Fusion; computer tomography (CT); magnetic resonance imaging (MRI)
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