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Medical Image Analysis and New Image Registration Technique Using Mutual Information and Optimization Technique

Registration is a fundamental task in image processing used to match two or more pictures taken, for example, at different times, from different sensors, or from different viewpoints. Accurate assessment of lymph node status is of crucial importance for appropriate treatment planning and determining prognosis in patients with gastric cancer. The aim of this study was to systematically review the current role of imaging in assessing lymph node (LN) status in gastric cancer. The Virtual Navigator is an advanced system allows the real time visualization of ultrasound images with other reference images. Here we are using gastric cancer MRI, gastric cancer CT and gastric cancer PET scanning techniques as a reference image and we are comparing all the three fusion imaging modalities. The objective of this research is to registering and fusing the different brain scanning imaging modalities by keeping Ultrasound (US) as base image and Positron Emission Tomography, Computed Tomography and Magnetic Resonance Imaging as a reference image, the efficiency and accuracy of these three fused imaging modalities are compared after fusion. Fused image will give better image quality, higher resolution, helps in image guided surgery and also increases the clinical diagnostic information.

Author(s): Sumitha Manoj, S. Ranjitha, H.N. Suresh

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Citations : 46

American Journal of Computer Science and Information Technology received 46 citations as per Google Scholar report

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