Can conclusions drawn from phantom‐based image noise assessments be generalized to in vivo studies for the nonlinear model‐based iterative reconstruction method?

Purpose: Phantom‐based objective image quality assessment methods are widely used in the medical physics community. For a filtered backprojection (FBP) reconstruction‐based linear or quasilinear imaging system, the use of this methodology is well justified. Many key image quality metrics acquired wi...

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Bibliographic Details
Published in:	Medical physics (Lancaster) Vol. 43; no. 2; pp. 687 - 695
Main Authors:	Gomez‐Cardona, Daniel, Li, Ke, Hsieh, Jiang, Lubner, Meghan G., Pickhardt, Perry J., Chen, Guang‐Hong
Format:	Journal Article
Language:	English
Published:	United States American Association of Physicists in Medicine 01.02.2016
Subjects:	Adult Aged Aged, 80 and over Animals Biological material, e.g. blood, urine; Haemocytometers Computed tomography Computerised tomographs computerised tomography Data analysis DIAGNOSTIC IMAGING (IONIZING AND NON-IONIZING) Digital computing or data processing equipment or methods, specially adapted for specific applications Female General statistical methods Germanium Humans Image data processing or generation, in general Image Processing, Computer-Assisted - instrumentation Image quality assessment image reconstruction iterative methods least squares approximations liver Male mAs Medical image contrast Medical image noise medical image processing Medical image reconstruction Middle Aged model based iterative reconstruction (MBIR) noise variance Nonlinear Dynamics Numerical approximation and analysis phantoms Phantoms, Imaging Probability theory, stochastic processes, and statistics radiation dose reduction Reconstruction regression analysis Signal-To-Noise Ratio Swine Tomography, X-Ray Computed
ISSN:	0094-2405, 2473-4209, 2473-4209
Online Access:	Get full text
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