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Super-resolution method and its application to medical image processing

Authors :
Tomio Goto
Yoshiki Sano
Koji Funahashi
Satoshi Hirano
Takuma Mori
Source :
GCCE
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

In medical imaging, X-ray photographic images are commonly used, but these have low resolution and a significant amount of noise because radiation levels are minimized for patient safety. In this paper, we propose a novel measurement algorithm for X-ray images generated by our proposed super-resolution method. To validate the measurement accuracy of our proposed algorithm, we construct a model for the measurement algorithm for joint space distance using a 3D printer, and obtain X-ray images of it. Experimental results show that the distances are measured with high accuracy.

Details

Database :
OpenAIRE
Journal :
2017 IEEE 6th Global Conference on Consumer Electronics (GCCE)
Accession number :
edsair.doi...........09aaa320a0915226068c28c3c9fa59c7