Quantitative evaluation method of noise texture for iteratively reconstructed x-ray CT images

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7961, Issue , 2011, Pages

  Thériault Lauzier, Pascal ^a   Tang, Jie ^a   Chen, Guang Hong ^a,b  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

computed tomography; image texture analysis; iterative reconstruction algorithms; non linear regularization

Indexed keywords

COMPRESSIVE SAMPLING; COMPUTED TOMOGRAPHY; DIAGNOSTIC ACCURACY; EVALUATION METRICS; FILTERED BACK-PROJECTION; HIGH SPATIAL RESOLUTION; IMAGE NOISE; IMAGE TEXTURE ANALYSIS; ITERATIVE IMAGE RECONSTRUCTION ALGORITHM; ITERATIVE RECONSTRUCTION ALGORITHMS; LOWER NOISE; NOISE LEVELS; NOISE TEXTURE; NON-LINEAR; POTENTIAL IMPACTS; QUANTIFICATION METHODS; QUANTITATIVE EVALUATION METHODS; TEXTURE SIMILARITY; X RAY CT IMAGES; X-RAY CT;

ALGORITHMS; CONTENT BASED RETRIEVAL; GRAPHIC METHODS; IMAGE RECONSTRUCTION; MEDICAL IMAGING; TEXTURES; TOMOGRAPHY;

COMPUTERIZED TOMOGRAPHY;

EID: 79955765836     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.878408     Document Type: Conference Paper

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