Comparative Study and Analysis of Medical Image Fusion Techniques
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10.5120/15827-4496 |
Pramit Parekh, Nehal Patel, Robinson Macwan, Priteshkumar Prajapati and Sarita Visavalia. Article: Comparative Study and Analysis of Medical Image Fusion Techniques. International Journal of Computer Applications 90(19):12-16, March 2014. Full text available. BibTeX
@article{key:article,
author = {Pramit Parekh and Nehal Patel and Robinson Macwan and Priteshkumar Prajapati and Sarita Visavalia},
title = {Article: Comparative Study and Analysis of Medical Image Fusion Techniques},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {90},
number = {19},
pages = {12-16},
month = {March},
note = {Full text available}
}
Abstract
The term fusion that means in general an approach of extraction of information acquired from several domains. Basically, Image Fusion can be defines as a process of combining information from multiple input images in such way that final fused image having good quality information then individual image. Medical imaging field demands images with high resolution and higher information contents for necessary disease diagnosis and visualization. Therefore, in practical scenario we required more complementary information for necessary disease diagnosis purpose. In this paper, Image Fusion techniques are broadly classified as spatial domain fusion techniques and Transform domain fusion techniques. Various techniques in each class are discussed in short description. In this study Performance of various techniques are evaluated using quality measures such as Entropy, Peak Signal to Noise Ratio, Signal to Noise Ratio, and Structural Similarity Index. For analysis purpose one can considered CT and MRI images of same scene.
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