Interpreting Low Resolution MRI Images Using Polynomial Based Interpolation
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2014 by IJETT Journal | ||
| Volume-10 Number-13 |
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| Year of Publication : 2014 | ||
| Authors : Tarun Gulati , H.P.Sinha |
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 10.14445/22315381/IJETT-V10P325 |
Citation
Tarun Gulati , H.P.Sinha. "Interpreting Low Resolution MRI Images Using Polynomial Based Interpolation", International Journal of Engineering Trends and Technology (IJETT), V10(13),626-631 April 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
In medical imaging, image interpolation is a key aspect. Some interpolation approaches are proposed to overcome the problem of low resolution in medical imaging. MRI is an invaluable modality in the medical field. Particularly, neuro imaging with MRI helps physicians to study the internal structure and functionality of the human brain. In these cases, high resolution and isotropic images are important because higher isotropic resolution could theoretically reduce partial volume artifacts, leading to better accuracy/precision in deriving volumetric measurement and decreasing considerable errors in registration . In this case, invaluable information will be lost in the latter direction. The objective is to recover and fill in this missing information in order to enable the physicians to obtain a more accurate perspective of the underlying structure available in the data by optimizing the choice of interpolation techniques. Therefore, this paper focuses on investigating the effect of various polynomial based interpolation functions on zooming low resolution images.
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Keywords
Pixel, Quantization, Sampling, zooming and interpolation.