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Image Enhancement Technique Applied to Low-field MR Brain Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 15 - Number 6 |
| Year of Publication: 2011 |
| Authors: Dr. Samir Kumar Bandyopadhyay |
10.5120/1956-2617
|
Dr. Samir Kumar Bandyopadhyay . Image Enhancement Technique Applied to Low-field MR Brain Images. International Journal of Computer Applications. 15, 6 ( February 2011), 1-6. DOI=10.5120/1956-2617
Abstract
Image processing techniques are used to extract meaningful information from medical images. A major concern in de-noising low-field MR brain images is the poor quality images secondary to a worsening signal-to-noise ratio (SNR) compared with the high-field MRI scanners. Low-field Magnetic Resonance Imaging (MRI) is vital in sensitive surgeries to allow real-time imaging in the operation theatre. Since low-field MRI uses low strength electromagnetic fields, noisy low resolution images are produced. In contrast, high-field MRI machines (approximately 7T) are able to produce clear detailed images with almost no noise at all. Considering the above, it is required to enhance the low-field images, so that the same conventional and high-field MRI processing techniques and applications could be applied to pre-processed low-field MRI images. In this paper, pre-processing steps are applied to low-field MR brain images for improving quality of the image.
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