164 related articles for article (PubMed ID: 32786070)
1. Characterization of tissue-specific pre-log Bayesian CT reconstruction by texture-dose relationship.
Gao Y; Liang Z; Xing Y; Zhang H; Pomeroy M; Lu S; Ma J; Lu H; Moore W
Med Phys; 2020 Oct; 47(10):5032-5047. PubMed ID: 32786070
[TBL] [Abstract][Full Text] [Related]
2. Deriving adaptive MRF coefficients from previous normal-dose CT scan for low-dose image reconstruction via penalized weighted least-squares minimization.
Zhang H; Han H; Wang J; Ma J; Liu Y; Moore W; Liang Z
Med Phys; 2014 Apr; 41(4):041916. PubMed ID: 24694147
[TBL] [Abstract][Full Text] [Related]
3. Ultra-low peak voltage CT colonography: effect of iterative reconstruction algorithms on performance of radiologists who use anthropomorphic colonic phantoms.
Shin CI; Kim SH; Lee ES; Lee DH; Hwang EJ; Chung SY; Lee JM; Han JK; Choi BI
Radiology; 2014 Dec; 273(3):759-71. PubMed ID: 25010640
[TBL] [Abstract][Full Text] [Related]
4. A Feasibility Study of Extracting Tissue Textures From a Previous Full-Dose CT Database as Prior Knowledge for Bayesian Reconstruction of Current Low-Dose CT Images.
Gao Y; Liang Z; Moore W; Zhang H; Pomeroy MJ; Ferretti JA; Bilfinger TV; Ma J; Lu H
IEEE Trans Med Imaging; 2019 Aug; 38(8):1981-1992. PubMed ID: 30605098
[TBL] [Abstract][Full Text] [Related]
5. A Joint-Parameter Estimation and Bayesian Reconstruction Approach to Low-Dose CT.
Gao Y; Lu S; Shi Y; Chang S; Zhang H; Hou W; Li L; Liang Z
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772417
[TBL] [Abstract][Full Text] [Related]
6. Constructing a tissue-specific texture prior by machine learning from previous full-dose scan for Bayesian reconstruction of current ultralow-dose CT images.
Gao Y; Tan J; Shi Y; Lu S; Gupta A; Li H; Liang Z
J Med Imaging (Bellingham); 2020 May; 7(3):032502. PubMed ID: 32118093
[No Abstract] [Full Text] [Related]
7. Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT Images.
Zhang H; Han H; Liang Z; Hu Y; Liu Y; Moore W; Ma J; Lu H
IEEE Trans Med Imaging; 2016 Mar; 35(3):860-70. PubMed ID: 26561284
[TBL] [Abstract][Full Text] [Related]
8. Comparison of low-contrast detectability between two CT reconstruction algorithms using voxel-based 3D printed textured phantoms.
Solomon J; Ba A; Bochud F; Samei E
Med Phys; 2016 Dec; 43(12):6497. PubMed ID: 27908164
[TBL] [Abstract][Full Text] [Related]
9. Characterization of a commercial hybrid iterative and model-based reconstruction algorithm in radiation oncology.
Price RG; Vance S; Cattaneo R; Schultz L; Elshaikh MA; Chetty IJ; Glide-Hurst CK
Med Phys; 2014 Aug; 41(8):081907. PubMed ID: 25086538
[TBL] [Abstract][Full Text] [Related]
10. Noise and spatial resolution properties of a commercially available deep learning-based CT reconstruction algorithm.
Solomon J; Lyu P; Marin D; Samei E
Med Phys; 2020 Sep; 47(9):3961-3971. PubMed ID: 32506661
[TBL] [Abstract][Full Text] [Related]
11. A Task-dependent Investigation on Dose and Texture in CT Image Reconstruction.
Gao Y; Liang Z; Zhang H; Yang J; Ferretti J; Bilfinger T; Yaddanapudi K; Schweitzer M; Bhattacharji P; Moore W
IEEE Trans Radiat Plasma Med Sci; 2020 Jul; 4(4):441-449. PubMed ID: 33907724
[TBL] [Abstract][Full Text] [Related]
12. Accuracy of Model-Based Iterative Reconstruction for CT Volumetry of Part-Solid Nodules and Solid Nodules in Comparison with Filtered Back Projection and Hybrid Iterative Reconstruction at Various Dose Settings: An Anthropomorphic Chest Phantom Study.
Kim SK; Kim C; Lee KY; Cha J; Lim HJ; Kang EY; Oh YW
Korean J Radiol; 2019 Jul; 20(7):1195-1206. PubMed ID: 31270983
[TBL] [Abstract][Full Text] [Related]
13. Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography.
Wang J; Li T; Lu H; Liang Z
IEEE Trans Med Imaging; 2006 Oct; 25(10):1272-83. PubMed ID: 17024831
[TBL] [Abstract][Full Text] [Related]
14. Full Dose-Reduction Potential of Statistical Iterative Reconstruction for Head CT Protocols in a Predominantly Pediatric Population.
Mirro AE; Brady SL; Kaufman RA
AJNR Am J Neuroradiol; 2016 Jul; 37(7):1199-205. PubMed ID: 27056425
[TBL] [Abstract][Full Text] [Related]
15. Iterative reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of diagnostic accuracy, image quality, and radiation dose in a phantom study.
Schindera ST; Diedrichsen L; Müller HC; Rusch O; Marin D; Schmidt B; Raupach R; Vock P; Szucs-Farkas Z
Radiology; 2011 Aug; 260(2):454-62. PubMed ID: 21493795
[TBL] [Abstract][Full Text] [Related]
16. Quantitative Image Quality and Histogram-Based Evaluations of an Iterative Reconstruction Algorithm at Low-to-Ultralow Radiation Dose Levels: A Phantom Study in Chest CT.
Lee KB; Goo HW
Korean J Radiol; 2018; 19(1):119-129. PubMed ID: 29354008
[TBL] [Abstract][Full Text] [Related]
17. Knowledge-based iterative model reconstruction (IMR) algorithm in ultralow-dose CT for evaluation of urolithiasis: evaluation of radiation dose reduction, image quality, and diagnostic performance.
Park SB; Kim YS; Lee JB; Park HJ
Abdom Imaging; 2015 Oct; 40(8):3137-46. PubMed ID: 26197735
[TBL] [Abstract][Full Text] [Related]
18. Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization.
Shi Y; Gao Y; Zhang Y; Sun J; Mou X; Liang Z
IEEE Trans Med Imaging; 2020 Oct; 39(10):2996-3007. PubMed ID: 32217474
[TBL] [Abstract][Full Text] [Related]
19. Characterization of adaptive statistical iterative reconstruction algorithm for dose reduction in CT: A pediatric oncology perspective.
Brady SL; Yee BS; Kaufman RA
Med Phys; 2012 Sep; 39(9):5520-31. PubMed ID: 22957619
[TBL] [Abstract][Full Text] [Related]
20. A qualitative and quantitative analysis of radiation dose and image quality of computed tomography images using adaptive statistical iterative reconstruction.
Hussain FA; Mail N; Shamy AM; Suliman A; Saoudi A
J Appl Clin Med Phys; 2016 May; 17(3):419-432. PubMed ID: 27167261
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
