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MRI Image Restoration
|Title:||MRI Image Restoration|
|Issue Date:||15 Jan 2014|
|Publisher:||University of Hawaii at Manoa|
|Abstract:||MRI is a non-invasive imaging technique that has allowed visualization of the human body with amazing clarity and detail. A major drawback to MRI, besides the cost, is the length of time required to capture images. Shortening the image acquisition time, unfortunately, will lead to blurry and distorted images. This paper proposes a method for deblurring MRI images in the spatial domain based on previous research in image restoration and super-resolution. Researchers at Texas A&M University have pioneered a new imaging mode dubbed single echo acquisition (SEA) MRI. The SEA system, captures an entire image in a single pulse by a novel 64-channel system. Efficient image restoration and/or super-resolution algorithms would further push the limits of speed and image quality. These algorithms are implemented in a variety of ways depending on speed and computational load required. Super-resolution algorithms further seek to enhance the resolution of multiple low resolution frames. This paper contrasts several methods of image restoration based on the L2 norm, L1 norm , L2 norm with Tikhonov regularization, and the L1 norm with Tikhonov regularization. If successful, this approach to SEA MRI would aid in the quick acquisition and high resolution image reconstruction required of future MRI scans. Such a system would be extremely beneficial in reducing scan time for single frame images and, additionally, aid video MR imaging for real-time operations.|
|Pages/Duration:||iv, 44 pages|
|Rights:||All UHM Honors Projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.|
|Appears in Collections:||Honors Projects for Engineering|
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