Generalized SDNR analysis based on signal and noise power.

Details

Serval ID
serval:BIB_7F07EF29A034
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Generalized SDNR analysis based on signal and noise power.
Journal
Physica medica
Author(s)
Monnin P., Gnesin S., Verdun F.R., Marshall N.W.
ISSN
1724-191X (Electronic)
ISSN-L
1120-1797
Publication state
Published
Issued date
08/2019
Peer-reviewed
Oui
Volume
64
Pages
10-15
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
The standard approach to signal difference-to-noise ratio (SDNR) analysis requires a region of interest (ROI) positioned within the object to measure signal-difference, restricting this metric to flat-topped objects with large, sharply delineated areas. This work develops a generalized expression for SDNR (SDNR <sub>g</sub> ) calculated from a ROI encompassing the object. Signal power, defined as the deviation of pixel values from the mean background due to the object, is used instead of signal-difference. Comparison was first made by simulating ideal flat-topped discs with sharp edges and diameters between 1 and 80 pixels, into a uniformly noisy background using a known signal-difference. For discs covering more than 20 pixels, SDNR <sub>g</sub> and standard SDNR (SDNR <sub>st</sub> ) were within 3%, while for discs of less than 20 pixels, SDNR <sub>g</sub> was within 26% of the truth compared to 58% for SDNR <sub>st</sub> . Generalized and standard SDNR were compared for radiography images of three different phantoms with microcalcification-like objects (MTM-100 phantom), hemispheric objects of different thicknesses with a Gaussian intensity distribution and mammography quality control (QC) images. Applied to Gaussian details, SDNR <sub>g</sub> was between 20% and 45% higher than SDNR <sub>st</sub> , depending on object thickness, while for the QC images, SDNR <sub>g</sub> was with 1.7% of the standard SDNR. Compared to the standard SDNR, SDNR <sub>g</sub> is applicable to non-uniform signals, where an explicit contrast measurement is not suitable, and has improved accuracy when assessing SDNR of small objects.
Keywords
Image quality, Quality controls, SDNR, Signal-to-noise ratio
Pubmed
Web of science
Open Access
Yes
Create date
20/09/2019 22:47
Last modification date
05/11/2019 6:26
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