Bone Repair with Compressive Sensing Based on MRI

Abstract:

With the development of society, much technology has been invented, many problems have been conquered. But it is still very hard for medical science. For example, physicians usually obtain the lesion information by means of medical imaging equipment and computer visualization techniques, to judge the symptoms, and develop appropriate treatment programs. However, it is hard for Magnetic Resonance Imaging (MRI) equipment to get high-quality image of the lesion, and then extract the pathological features of high quality. This paper will introduce a method to overcome this tough stuff. This paper attempts to adopt compressed sensing technology for image processing in the bone repair process. Lesion images are first acquired via MRI, then with the wavelet transform, to get the sparse matrix by the wavelet coefficient sparse representation. The method can obtain compressed images, and extract the corresponding pathological features without reducing the image quality.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 4019-4022
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.4019
• Online since: August 2013
• Authors: Feng Zhou, Yi Jian Pei, Hao Wu, Zhi Jun Chen
• Keywords: CS, Edge Detection, MRI

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