Statistical model based iterative reconstruction (MBIR) in clinical CT systems. Part II. Experimental assessment of spatial resolution performance

Purpose: Statistical model based iterative reconstruction (MBIR) methods have been introduced to clinical CT systems and are being used in some clinical diagnostic applications. The purpose of this paper is to experimentally assess the unique spatial resolution characteristics of this nonlinear reco...

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Veröffentlicht in:	Medical physics (Lancaster) 2014-07, Vol.41 (7), p.071911-n/a
Hauptverfasser:	Li, Ke, Garrett, John, Ge, Yongshuai, Chen, Guang‐Hong
Format:	Artikel
Sprache:	eng
Schlagworte:	60 APPLIED LIFE SCIENCES ACCURACY Algorithms CAT SCANNING Child Computed tomography Dosimetry GAUSS FUNCTION Humans IMAGE PROCESSING image quality ITERATIVE METHODS iterative reconstruction Medical image contrast Medical image noise Medical image reconstruction Medical image spatial resolution model observer Models, Biological Models, Statistical Modulation transfer functions Nonlinear Dynamics PHANTOMS Phantoms, Imaging Radiation Dosage RADIATION DOSES Radiation Imaging Physics Radiographic Image Interpretation, Computer-Assisted - instrumentation Radiographic Image Interpretation, Computer-Assisted - methods RADIOLOGY AND NUCLEAR MEDICINE SPATIAL RESOLUTION STATISTICAL MODELS Tomography, X-Ray Computed - instrumentation Tomography, X-Ray Computed - methods
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