Title: Support value transform-based multimodality medical image fusion

Authors: D. Selvathi, S. Thamarai Selvi

Addresses: Department of ECE, Mepco Schlenk Engineering College, Sivakasi 626 005, Tamil Nadu, India. ' Department of CSE, Anna University, MIT Campus, Chennai 600 044, Tamil Nadu, India

Abstract: Medical image fusion has been used to derive useful information from multi-modality medical image data. In this work, Support Value Transform (SVT) based medical image fusion approach is proposed for fusing multimodality medical images such as MRI and CT & MRI and PET. This new image fusion method with mapped LS-SVM uses the support value to represent the salient features of the image. The results are compared with the Discrete Wavelet Transform (DWT) results of same data set. The resultant fused images are assessed and validated by radiologist. The Support Value Transform approach provides improved results as compared to DWT in terms of both qualitative and quantitative analysis.

Keywords: medical imaging; support value transform; image fusion; multimodality; medical images.

DOI: 10.1504/IJHTM.2011.042375

International Journal of Healthcare Technology and Management, 2011 Vol.12 No.5/6, pp.457 - 470

Published online: 28 Mar 2015 *

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