Computed tomography perfusion imaging denoising using Gaussian process regression

Physics in Medicine and Biology

Volumn 57, Issue 12, 2012, Pages

  Zhu, Fan ^a   Carpenter, Trevor ^a   Gonzalez, David Rodriguez ^a   Atkinson, Malcolm ^a   Wardlaw, Joanna ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE STROKE; BRAIN PERFUSION; COMPUTED TOMOGRAPHY; CONTRAST TO NOISE RATIO; CT IMAGE; CURVELET TRANSFORMS; DE-NOISING; DYNAMIC CONTRAST; GAUSSIAN PROCESS REGRESSION; KEY PARAMETERS; NOISE LEVELS; PERFUSION IMAGING; RAW IMAGES; TECHNIQUES USED; TEMPORAL INFORMATION; WEIGHTED MEAN FILTER;

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); THREE DIMENSIONAL; TISSUE; WAVELET TRANSFORMS;

COMPUTERIZED TOMOGRAPHY;

AGED; ARTICLE; BRAIN; FEMALE; FOUR DIMENSIONAL COMPUTED TOMOGRAPHY; HEMODYNAMICS; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; RADIOGRAPHY; REGRESSION ANALYSIS; SCINTIGRAPHY; SIGNAL NOISE RATIO; TIME; VASCULARIZATION;

AGED; AGED, 80 AND OVER; BRAIN; FEMALE; FOUR-DIMENSIONAL COMPUTED TOMOGRAPHY; HEMODYNAMICS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NORMAL DISTRIBUTION; PERFUSION IMAGING; REGRESSION ANALYSIS; SIGNAL-TO-NOISE RATIO; TIME FACTORS;

EID: 84862021448     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/57/12/N183     Document Type: Article

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