Matches in SemOpenAlex for { <https://semopenalex.org/work/W4306247367> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4306247367 abstract "Low performing pixels (LPP)/missing/bad channels in CT detectors, if left uncorrected cause ring and streak artifacts, structured non-uniformities, and make the reconstructed image unusable for diagnostic purposes. Many image processing methods are proposed to correct the ring and streak artifacts in reconstructed images, but it is more appropriate to correct the LPPs in sinogram domain as the errors are localized. Although Generative Adversarial Networks based sinogram inpainting methods have shown promise in interpolating the missing sinogram information, it is often observed that the reconstructed images lack diagnostic value especially in visualizing soft tissues with certain window width and level. In this work, we propose a deep-learning based solution that operates on the sinogram data to remove the distortions cause by LPPs. This method leverages the CT system geometry (including conjugate ray information) to learn the anatomy aware interpolation in the sinogram domain. We demonstrated the efficacy of the proposed method using data acquired on GE RevACT multi-slice CT system with flat-panel detector. We have considered 46 axial head scans out of them 42 sets are used for training and the remaining 4 sets for validation/testing. We have simulated isolated LPPs accounting for 10% of total channels in the central panel of the detector and corrected them using the proposed approach. Detailed statistical analysis has revealed that, approximately 5dB improvement in SNR is observed in both sinogram and reconstruction domain as compared to classical bicubic and Lagrange interpolation methods. Also, with reduction in ring and streak artifacts, the perceptual image quality is improved across all the test images." @default.
- W4306247367 created "2022-10-15" @default.
- W4306247367 creator A5007302463 @default.
- W4306247367 creator A5011692131 @default.
- W4306247367 creator A5022522718 @default.
- W4306247367 creator A5023083346 @default.
- W4306247367 creator A5031644528 @default.
- W4306247367 creator A5049653413 @default.
- W4306247367 creator A5050142867 @default.
- W4306247367 date "2022-11-10" @default.
- W4306247367 modified "2023-09-25" @default.
- W4306247367 title "Low performing pixel correction in computed tomography using deep learning" @default.
- W4306247367 cites W1965538147 @default.
- W4306247367 cites W2033926362 @default.
- W4306247367 cites W2047837140 @default.
- W4306247367 cites W2066699196 @default.
- W4306247367 cites W2067291138 @default.
- W4306247367 cites W2087705494 @default.
- W4306247367 cites W2130847494 @default.
- W4306247367 cites W2132993624 @default.
- W4306247367 cites W2142613904 @default.
- W4306247367 cites W2164860288 @default.
- W4306247367 cites W2574952845 @default.
- W4306247367 cites W2796256498 @default.
- W4306247367 cites W2972922788 @default.
- W4306247367 cites W4250512134 @default.
- W4306247367 cites W4362519793 @default.
- W4306247367 doi "https://doi.org/10.1117/12.2632273" @default.
- W4306247367 hasPublicationYear "2022" @default.
- W4306247367 type Work @default.
- W4306247367 citedByCount "0" @default.
- W4306247367 crossrefType "proceedings-article" @default.
- W4306247367 hasAuthorship W4306247367A5007302463 @default.
- W4306247367 hasAuthorship W4306247367A5011692131 @default.
- W4306247367 hasAuthorship W4306247367A5022522718 @default.
- W4306247367 hasAuthorship W4306247367A5023083346 @default.
- W4306247367 hasAuthorship W4306247367A5031644528 @default.
- W4306247367 hasAuthorship W4306247367A5049653413 @default.
- W4306247367 hasAuthorship W4306247367A5050142867 @default.
- W4306247367 hasConcept C108583219 @default.
- W4306247367 hasConcept C115961682 @default.
- W4306247367 hasConcept C120665830 @default.
- W4306247367 hasConcept C121332964 @default.
- W4306247367 hasConcept C137800194 @default.
- W4306247367 hasConcept C141379421 @default.
- W4306247367 hasConcept C153180895 @default.
- W4306247367 hasConcept C154945302 @default.
- W4306247367 hasConcept C160633673 @default.
- W4306247367 hasConcept C27405340 @default.
- W4306247367 hasConcept C31601959 @default.
- W4306247367 hasConcept C31972630 @default.
- W4306247367 hasConcept C41008148 @default.
- W4306247367 hasConcept C65185188 @default.
- W4306247367 hasConcept C76155785 @default.
- W4306247367 hasConcept C9417928 @default.
- W4306247367 hasConcept C94898600 @default.
- W4306247367 hasConcept C94915269 @default.
- W4306247367 hasConceptScore W4306247367C108583219 @default.
- W4306247367 hasConceptScore W4306247367C115961682 @default.
- W4306247367 hasConceptScore W4306247367C120665830 @default.
- W4306247367 hasConceptScore W4306247367C121332964 @default.
- W4306247367 hasConceptScore W4306247367C137800194 @default.
- W4306247367 hasConceptScore W4306247367C141379421 @default.
- W4306247367 hasConceptScore W4306247367C153180895 @default.
- W4306247367 hasConceptScore W4306247367C154945302 @default.
- W4306247367 hasConceptScore W4306247367C160633673 @default.
- W4306247367 hasConceptScore W4306247367C27405340 @default.
- W4306247367 hasConceptScore W4306247367C31601959 @default.
- W4306247367 hasConceptScore W4306247367C31972630 @default.
- W4306247367 hasConceptScore W4306247367C41008148 @default.
- W4306247367 hasConceptScore W4306247367C65185188 @default.
- W4306247367 hasConceptScore W4306247367C76155785 @default.
- W4306247367 hasConceptScore W4306247367C9417928 @default.
- W4306247367 hasConceptScore W4306247367C94898600 @default.
- W4306247367 hasConceptScore W4306247367C94915269 @default.
- W4306247367 hasLocation W43062473671 @default.
- W4306247367 hasOpenAccess W4306247367 @default.
- W4306247367 hasPrimaryLocation W43062473671 @default.
- W4306247367 hasRelatedWork W2010231627 @default.
- W4306247367 hasRelatedWork W2090093270 @default.
- W4306247367 hasRelatedWork W2102353889 @default.
- W4306247367 hasRelatedWork W2166126682 @default.
- W4306247367 hasRelatedWork W2382600095 @default.
- W4306247367 hasRelatedWork W2794735895 @default.
- W4306247367 hasRelatedWork W2887738285 @default.
- W4306247367 hasRelatedWork W3093404388 @default.
- W4306247367 hasRelatedWork W3100191286 @default.
- W4306247367 hasRelatedWork W4306247367 @default.
- W4306247367 isParatext "false" @default.
- W4306247367 isRetracted "false" @default.
- W4306247367 workType "article" @default.