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

Autor:	Jiehang DENG, Min QIAN, Guoqing QIAO, Xiaoping LIN, Chao Wang
Jazyk:	angličtina
Rok vydání:	2014
Předmět:	Markov random field Image quality assessment lcsh:Technology (General) lcsh:T1-995 Low dose CT Mutual information
Zdroj:	Sensors & Transducers, Vol 169, Iss 4, Pp 193-198 (2014)
ISSN:	1726-5479 2306-8515
Popis:	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.
Databáze:	OpenAIRE
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