Objective evaluations of common and low dose CT images under considerations of local correlations

Autor:	Guoqing Qiao, Chao Wang, Lin Xiaoping, Deng Jiehang, Jiang Zhiwen
Rok vydání:	2015
Předmět:	Mathematical optimization Markov random field Image quality Computer science Structural similarity business.industry Low dose ct Pattern recognition Mutual information Artificial intelligence business Imaging phantom Image (mathematics)
Zdroj:	2015 International Conference on Computers, Communications, and Systems (ICCCS).
DOI:	10.1109/ccoms.2015.7562901
Popis:	To evaluate the low dose CT images with considerations of the correlations inside a neighborhood, different IQMs (Image Quality Metrics) are applied in this paper. First, IQMs are checked by the LIVE (Laboratory for Image & Video Engineering) image database comprehensively. Then the IQMs are validated by phantom CT images with different dose levels. After the validation and analysis, the mutual information with MRF(Markov Random Field) and Ising model outperforms MSE, PSNR, SSIM and mutual information to assess the image quality of common images and low dose CT images.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::30a7c7385ff62d5558161c4258b17be6 https://doi.org/10.1109/ccoms.2015.7562901 Zobrazit plný text záznamu