FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2048092009> ?p ?o ?g. }

• W2048092009 abstract "Purpose: The aim of this work is to create a model to predict the noise power spectra (NPS) for a range of mammographic radiographic factors. The noise model was necessary to degrade images acquired on one system to match the image quality of different systems for a range of beam qualities. Methods: Five detectors and x‐ray systems [Hologic Selenia (ASEh), Carestream computed radiography CR900 (CRc), GE Essential (CSI), Carestream NIP (NIPc), and Siemens Inspiration (ASEs)] were characterized for this study. The signal transfer property was measured as the pixel value against absorbed energy per unit area ( E ) at a reference beam quality of 28 kV, Mo/Mo or 29 kV, W/Rh with 45 mm polymethyl methacrylate (PMMA) at the tube head. The contributions of the three noise sources (electronic, quantum, and structure) to the NPS were calculated by fitting a quadratic at each spatial frequency of the NPS against E . A quantum noise correction factor which was dependent on beam quality was quantified using a set of images acquired over a range of radiographic factors with different thicknesses of PMMA. The noise model was tested for images acquired at 26 kV, Mo/Mo with 20 mm PMMA and 34 kV, Mo/Rh with 70 mm PMMA for three detectors (ASEh, CRc, and CSI) over a range of exposures. The NPS were modeled with and without the noise correction factor and compared with the measured NPS. A previous method for adapting an image to appear as if acquired on a different system was modified to allow the reference beam quality to be different from the beam quality of the image. The method was validated by adapting the ASEh flat field images with two thicknesses of PMMA (20 and 70 mm) to appear with the imaging characteristics of the CSI and CRc systems. Results: The quantum noise correction factor rises with higher beam qualities, except for CR systems at high spatial frequencies, where a flat response was found against mean photon energy. This is due to the dominance of secondary quantum noise in CR. The use of the quantum noise correction factor reduced the difference from the model to the real NPS to generally within 4%. The use of the quantum noise correction improved the conversion of ASEh image to CRc image but had no difference for the conversion to CSI images. Conclusions: A practical method for estimating the NPS at any dose and over a range of beam qualities for mammography has been demonstrated. The noise model was incorporated into a methodology for converting an image to appear as if acquired on a different detector. The method can now be extended to work for a wide range of beam qualities and can be applied to the conversion of mammograms." @default.
• W2048092009 created "2016-06-24" @default.
• W2048092009 creator A5007219692 @default.
• W2048092009 creator A5008383476 @default.
• W2048092009 creator A5013426515 @default.
• W2048092009 creator A5013828170 @default.
• W2048092009 date "2014-11-11" @default.
• W2048092009 modified "2023-10-04" @default.
• W2048092009 title "Image simulation and a model of noise power spectra across a range of mammographic beam qualities" @default.
• W2048092009 cites W1964474184 @default.
• W2048092009 cites W1978699881 @default.
• W2048092009 cites W1985563464 @default.
• W2048092009 cites W1991847408 @default.
• W2048092009 cites W1994400523 @default.
• W2048092009 cites W2006888988 @default.
• W2048092009 cites W2009680583 @default.
• W2048092009 cites W2021523624 @default.
• W2048092009 cites W2040191425 @default.
• W2048092009 cites W2044114811 @default.
• W2048092009 cites W2049242398 @default.
• W2048092009 cites W2051870180 @default.
• W2048092009 cites W2056975318 @default.
• W2048092009 cites W2069809202 @default.
• W2048092009 cites W2075653362 @default.
• W2048092009 cites W2087143222 @default.
• W2048092009 cites W2087353466 @default.
• W2048092009 cites W2096572458 @default.
• W2048092009 cites W2123875233 @default.
• W2048092009 cites W2125285024 @default.
• W2048092009 cites W2125449863 @default.
• W2048092009 cites W2171074980 @default.
• W2048092009 doi "https://doi.org/10.1118/1.4900819" @default.
• W2048092009 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25471961" @default.
• W2048092009 hasPublicationYear "2014" @default.
• W2048092009 type Work @default.
• W2048092009 sameAs 2048092009 @default.
• W2048092009 citedByCount "39" @default.
• W2048092009 countsByYear W20480920092014 @default.
• W2048092009 countsByYear W20480920092015 @default.
• W2048092009 countsByYear W20480920092016 @default.
• W2048092009 countsByYear W20480920092017 @default.
• W2048092009 countsByYear W20480920092018 @default.
• W2048092009 countsByYear W20480920092019 @default.
• W2048092009 countsByYear W20480920092021 @default.
• W2048092009 countsByYear W20480920092022 @default.
• W2048092009 countsByYear W20480920092023 @default.
• W2048092009 crossrefType "journal-article" @default.
• W2048092009 hasAuthorship W2048092009A5007219692 @default.
• W2048092009 hasAuthorship W2048092009A5008383476 @default.
• W2048092009 hasAuthorship W2048092009A5013426515 @default.
• W2048092009 hasAuthorship W2048092009A5013828170 @default.
• W2048092009 hasConcept C111996192 @default.
• W2048092009 hasConcept C115171683 @default.
• W2048092009 hasConcept C115961682 @default.
• W2048092009 hasConcept C120665830 @default.
• W2048092009 hasConcept C121332964 @default.
• W2048092009 hasConcept C134093067 @default.
• W2048092009 hasConcept C154945302 @default.
• W2048092009 hasConcept C163258240 @default.
• W2048092009 hasConcept C168834538 @default.
• W2048092009 hasConcept C175231954 @default.
• W2048092009 hasConcept C192562407 @default.
• W2048092009 hasConcept C203234222 @default.
• W2048092009 hasConcept C2984025587 @default.
• W2048092009 hasConcept C2989005 @default.
• W2048092009 hasConcept C41008148 @default.
• W2048092009 hasConcept C520434653 @default.
• W2048092009 hasConcept C55020928 @default.
• W2048092009 hasConcept C62520636 @default.
• W2048092009 hasConcept C71924100 @default.
• W2048092009 hasConcept C76935873 @default.
• W2048092009 hasConcept C84114770 @default.
• W2048092009 hasConcept C86169459 @default.
• W2048092009 hasConcept C94915269 @default.
• W2048092009 hasConcept C99498987 @default.
• W2048092009 hasConceptScore W2048092009C111996192 @default.
• W2048092009 hasConceptScore W2048092009C115171683 @default.
• W2048092009 hasConceptScore W2048092009C115961682 @default.
• W2048092009 hasConceptScore W2048092009C120665830 @default.
• W2048092009 hasConceptScore W2048092009C121332964 @default.
• W2048092009 hasConceptScore W2048092009C134093067 @default.
• W2048092009 hasConceptScore W2048092009C154945302 @default.
• W2048092009 hasConceptScore W2048092009C163258240 @default.
• W2048092009 hasConceptScore W2048092009C168834538 @default.
• W2048092009 hasConceptScore W2048092009C175231954 @default.
• W2048092009 hasConceptScore W2048092009C192562407 @default.
• W2048092009 hasConceptScore W2048092009C203234222 @default.
• W2048092009 hasConceptScore W2048092009C2984025587 @default.
• W2048092009 hasConceptScore W2048092009C2989005 @default.
• W2048092009 hasConceptScore W2048092009C41008148 @default.
• W2048092009 hasConceptScore W2048092009C520434653 @default.
• W2048092009 hasConceptScore W2048092009C55020928 @default.
• W2048092009 hasConceptScore W2048092009C62520636 @default.
• W2048092009 hasConceptScore W2048092009C71924100 @default.
• W2048092009 hasConceptScore W2048092009C76935873 @default.
• W2048092009 hasConceptScore W2048092009C84114770 @default.
• W2048092009 hasConceptScore W2048092009C86169459 @default.
• W2048092009 hasConceptScore W2048092009C94915269 @default.
• W2048092009 hasConceptScore W2048092009C99498987 @default.
• W2048092009 hasIssue "12" @default.

• next