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Vol. 169, Issue 4, April 2014, pp. 193-198

 

Bullet

 

Analysis of Image Quality Assessment with Markov Random Field Oriented
on Low Dose CT Images
 

1 Jiehang DENG, 2 Min QIAN, 2 Guoqing QIAO, 1 Xiaoping LIN, 1 Chao Wang

1 School of Computers, Guangdong University of Technology Guangzhou, 510006, China
2 X-ray Department, General Hospital of Guangzhou Military Command Guangzhou, 510010, China
1 Tel.: +86-020-39322279, fax: +86-020-39322279

E-mail: dengjiehang@gdut.edu.cn

 

Received: 29 March 2014 Accepted: 28 April 2014 Published: 30 April 2014

Digital Sensors and Sensor Sysstems

 

Abstract: In order to provide precision and objective image quality measures (IQMs) for the low dose CT (Computed Tomography) images, various general IQMs need to be validated and analyzed. The IQM based on Markov Random Field (MRF) has not been check and validated by a comprehensive distorted database. First choose a standard distorted image database of LIVE (Laboratory for Image & Video Engineering) to validate and analyze the performance of various IQMs. Then assess various low dose phantom CT images by the IQMs. Experimental results show that the mutual information based on MRF is more obvious and precision than other measures to reflect the quality changes of the LIVE database and low dose CT phantom images. It can provide effective reference for quality assessment of low dose CT images.

 

Keywords: Low dose CT, Image quality assessment, Markov random field, Mutual information.

 

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