Generalized SDNR analysis based on signal and noise power.
Details
Download: Monnin_Generalized-SDNR-Physica-Medica_2019.pdf (1149.50 [Ko])
State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
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
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
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 23:47
Last modification date
30/07/2022 7:11