These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
249 related articles for article (PubMed ID: 30258307)
1. Improving the Accuracy, Quality, and Signal-To-Noise Ratio of MRI Parametric Mapping Using Rician Bias Correction and Parametric-Contrast-Matched Principal Component Analysis (PCM-PCA). Sonderer CM; Chen NK Yale J Biol Med; 2018 Sep; 91(3):207-214. PubMed ID: 30258307 [TBL] [Abstract][Full Text] [Related]
2. Mapping of magnetic resonance imaging's transverse relaxation time at low signal-to-noise ratio using Bloch simulations and principal component analysis image denoising. Stern N; Radunsky D; Blumenfeld-Katzir T; Chechik Y; Solomon C; Ben-Eliezer N NMR Biomed; 2022 Dec; 35(12):e4807. PubMed ID: 35899528 [TBL] [Abstract][Full Text] [Related]
3. A diffusion-matched principal component analysis (DM-PCA) based two-channel denoising procedure for high-resolution diffusion-weighted MRI. Chen NK; Chang HC; Bilgin A; Bernstein A; Trouard TP PLoS One; 2018; 13(4):e0195952. PubMed ID: 29694400 [TBL] [Abstract][Full Text] [Related]
4. Multi-parametric quantitative in vivo spinal cord MRI with unified signal readout and image denoising. Grussu F; Battiston M; Veraart J; Schneider T; Cohen-Adad J; Shepherd TM; Alexander DC; Fieremans E; Novikov DS; Gandini Wheeler-Kingshott CAM Neuroimage; 2020 Aug; 217():116884. PubMed ID: 32360689 [TBL] [Abstract][Full Text] [Related]
5. Quantitative R2* MRI of the liver with rician noise models for evaluation of hepatic iron overload: Simulation, phantom, and early clinical experience. Yokoo T; Yuan Q; Sénégas J; Wiethoff AJ; Pedrosa I J Magn Reson Imaging; 2015 Dec; 42(6):1544-59. PubMed ID: 25996989 [TBL] [Abstract][Full Text] [Related]
6. MRI noise estimation and denoising using non-local PCA. Manjón JV; Coupé P; Buades A Med Image Anal; 2015 May; 22(1):35-47. PubMed ID: 25725303 [TBL] [Abstract][Full Text] [Related]
7. Incorporation of Rician noise in the analysis of biexponential transverse relaxation in cartilage using a multiple gradient echo sequence at 3 and 7 Tesla. Bouhrara M; Reiter DA; Celik H; Bonny JM; Lukas V; Fishbein KW; Spencer RG Magn Reson Med; 2015 Jan; 73(1):352-66. PubMed ID: 24677270 [TBL] [Abstract][Full Text] [Related]
8. 3D MR image denoising using rough set and kernel PCA method. Phophalia A; Mitra SK Magn Reson Imaging; 2017 Feb; 36():135-145. PubMed ID: 27746390 [TBL] [Abstract][Full Text] [Related]
9. A two-step optimization approach for nonlocal total variation-based Rician noise reduction in magnetic resonance images. Liu RW; Shi L; Yu SC; Wang D Med Phys; 2015 Sep; 42(9):5167-87. PubMed ID: 26328968 [TBL] [Abstract][Full Text] [Related]
10. [A diffusion-weighted image denoising algorithm using HOSVD combined with Rician noise corrected model]. Xu P; Guo L; Feng Y; Zhang X Nan Fang Yi Ke Da Xue Xue Bao; 2021 Aug; 41(9):1400-1408. PubMed ID: 34658356 [TBL] [Abstract][Full Text] [Related]
11. Efficient bias correction for magnetic resonance image denoising. Mukherjee PS; Qiu P Stat Med; 2013 May; 32(12):2079-96. PubMed ID: 23074149 [TBL] [Abstract][Full Text] [Related]
12. Principal component analysis fosr fast and model-free denoising of multi b-value diffusion-weighted MR images. Gurney-Champion OJ; Collins DJ; Wetscherek A; Rata M; Klaassen R; van Laarhoven HWM; Harrington KJ; Oelfke U; Orton MR Phys Med Biol; 2019 May; 64(10):105015. PubMed ID: 30965296 [TBL] [Abstract][Full Text] [Related]
13. Evaluation of principal component analysis image denoising on multi-exponential MRI relaxometry. Does MD; Olesen JL; Harkins KD; Serradas-Duarte T; Gochberg DF; Jespersen SN; Shemesh N Magn Reson Med; 2019 Jun; 81(6):3503-3514. PubMed ID: 30720206 [TBL] [Abstract][Full Text] [Related]
14. Denoising of multi b-value diffusion-weighted MR images using deep image prior. Lin YC; Huang HM Phys Med Biol; 2020 May; 65(10):105003. PubMed ID: 32187580 [TBL] [Abstract][Full Text] [Related]
15. High-SNR multiple T Eo T; Kim T; Jun Y; Lee H; Ahn SS; Kim DH; Hwang D J Magn Reson Imaging; 2017 Jun; 45(6):1835-1845. PubMed ID: 27635526 [TBL] [Abstract][Full Text] [Related]
16. Arterial spin labeling perfusion MRI signal denoising using robust principal component analysis. Zhu H; Zhang J; Wang Z J Neurosci Methods; 2018 Feb; 295():10-19. PubMed ID: 29196191 [TBL] [Abstract][Full Text] [Related]
17. A nonlocal maximum likelihood estimation method for Rician noise reduction in MR images. He L; Greenshields IR IEEE Trans Med Imaging; 2009 Feb; 28(2):165-72. PubMed ID: 19188105 [TBL] [Abstract][Full Text] [Related]
18. Brain MR image denoising for Rician noise using pre-smooth non-local means filter. Yang J; Fan J; Ai D; Zhou S; Tang S; Wang Y Biomed Eng Online; 2015 Jan; 14():2. PubMed ID: 25572487 [TBL] [Abstract][Full Text] [Related]
19. Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network. Jiang D; Dou W; Vosters L; Xu X; Sun Y; Tan T Jpn J Radiol; 2018 Sep; 36(9):566-574. PubMed ID: 29982919 [TBL] [Abstract][Full Text] [Related]
20. Wavelet packet denoising of magnetic resonance images: importance of Rician noise at low SNR. Wood JC; Johnson KM Magn Reson Med; 1999 Mar; 41(3):631-5. PubMed ID: 10204890 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]