Statistical analysis of nonlinearly reconstructed near-infrared tomographic images: Part I: Theory and simulations

Near-infrared (NIR) diffuse tomography is an emerging method for imaging the interior of tissues to quantify concentrations of hemoglobin and exogenous chromophores non-invasively in vivo. It often exploits an optical diffusion model-based image reconstruction algorithm to estimate spatial property...

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Veröffentlicht in:	IEEE transactions on medical imaging 2002-07, Vol.21 (7), p.755-763
Hauptverfasser:	POGUE, Brian W, XIAOMEI SONG, TOSTESON, Tor D, MCBRIDE, Troy O, SHUDONG JIANG, PAULSEN, Keith D
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Computer Simulation Image Enhancement - methods Medical sciences Models, Statistical Nonlinear Dynamics Quality Control Reproducibility of Results Sample Size Sensitivity and Specificity Spectroscopy, Near-Infrared - methods Stochastic Processes Tomography - methods
Online-Zugang:	Volltext
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