122 related articles for article (PubMed ID: 38169132)
1. Maximum spherical mean value filtering for whole-brain QSM.
Roberts AG; Romano DJ; Şişman M; Dimov AV; Nguyen TD; Kovanlikaya I; Gauthier SA; Wang Y; Spincemaille P
Magn Reson Med; 2024 Apr; 91(4):1586-1597. PubMed ID: 38169132
[TBL] [Abstract][Full Text] [Related]
2. Background field removal using a region adaptive kernel for quantitative susceptibility mapping of human brain.
Fang J; Bao L; Li X; van Zijl PCM; Chen Z
J Magn Reson; 2017 Aug; 281():130-140. PubMed ID: 28595120
[TBL] [Abstract][Full Text] [Related]
3. Background field removal technique based on non-regularized variable kernels sophisticated harmonic artifact reduction for phase data for quantitative susceptibility mapping.
Kan H; Arai N; Takizawa M; Omori K; Kasai H; Kunitomo H; Hirose Y; Shibamoto Y
Magn Reson Imaging; 2018 Oct; 52():94-101. PubMed ID: 29902566
[TBL] [Abstract][Full Text] [Related]
4. Investigating the effect of oblique image acquisition on the accuracy of QSM and a robust tilt correction method.
Kiersnowski OC; Karsa A; Wastling SJ; Thornton JS; Shmueli K
Magn Reson Med; 2023 May; 89(5):1791-1808. PubMed ID: 36480002
[TBL] [Abstract][Full Text] [Related]
5. Quantitative Susceptibility Mapping (QSM) Algorithms: Mathematical Rationale and Computational Implementations.
Kee Y; Liu Z; Zhou L; Dimov A; Cho J; de Rochefort L; Seo JK; Wang Y
IEEE Trans Biomed Eng; 2017 Nov; 64(11):2531-2545. PubMed ID: 28885147
[TBL] [Abstract][Full Text] [Related]
6. Weak-harmonic regularization for quantitative susceptibility mapping.
Milovic C; Bilgic B; Zhao B; Langkammer C; Tejos C; Acosta-Cabronero J
Magn Reson Med; 2019 Feb; 81(2):1399-1411. PubMed ID: 30265767
[TBL] [Abstract][Full Text] [Related]
7. QSMART: Quantitative susceptibility mapping artifact reduction technique.
Yaghmaie N; Syeda WT; Wu C; Zhang Y; Zhang TD; Burrows EL; Brodtmann A; Moffat BA; Wright DK; Glarin R; Kolbe S; Johnston LA
Neuroimage; 2021 May; 231():117701. PubMed ID: 33484853
[TBL] [Abstract][Full Text] [Related]
8. Region Expansion of Background Field Removal with Local Spherical Harmonics Approximation for Whole-brain Quantitative Susceptibility Mapping.
Shirai T; Sato R; Kawata Y; Bito Y; Ochi H
Magn Reson Med Sci; 2023 Oct; 22(4):497-514. PubMed ID: 36372397
[TBL] [Abstract][Full Text] [Related]
9. Background field removal technique using regularization enabled sophisticated harmonic artifact reduction for phase data with varying kernel sizes.
Kan H; Kasai H; Arai N; Kunitomo H; Hirose Y; Shibamoto Y
Magn Reson Imaging; 2016 Sep; 34(7):1026-33. PubMed ID: 27114339
[TBL] [Abstract][Full Text] [Related]
10. Correction of magnetic field inhomogeneity effects for fast quantitative susceptibility mapping.
Ngo GC; Bilgic B; Gagoski BA; Sutton BP
Magn Reson Med; 2019 Mar; 81(3):1645-1658. PubMed ID: 30387905
[TBL] [Abstract][Full Text] [Related]
11. Whole head quantitative susceptibility mapping using a least-norm direct dipole inversion method.
Sun H; Ma Y; MacDonald ME; Pike GB
Neuroimage; 2018 Oct; 179():166-175. PubMed ID: 29906634
[TBL] [Abstract][Full Text] [Related]
12. Quantitative susceptibility map reconstruction using annihilating filter-based low-rank Hankel matrix approach.
Ahn HS; Park SH; Ye JC
Magn Reson Med; 2020 Mar; 83(3):858-871. PubMed ID: 31468595
[TBL] [Abstract][Full Text] [Related]
13. Preconditioned total field inversion (TFI) method for quantitative susceptibility mapping.
Liu Z; Kee Y; Zhou D; Wang Y; Spincemaille P
Magn Reson Med; 2017 Jul; 78(1):303-315. PubMed ID: 27464893
[TBL] [Abstract][Full Text] [Related]
14. Noise Effects in Various Quantitative Susceptibility Mapping Methods.
Wang S; Liu T; Chen W; Spincemaille P; Wisnieff C; Tsiouris AJ; Zhu W; Pan C; Zhao L; Wang Y
IEEE Trans Biomed Eng; 2013 Dec; 60(12):3441-8. PubMed ID: 23751950
[TBL] [Abstract][Full Text] [Related]
15. Phase-based masking for quantitative susceptibility mapping of the human brain at 9.4T.
Hagberg GE; Eckstein K; Tuzzi E; Zhou J; Robinson S; Scheffler K
Magn Reson Med; 2022 Nov; 88(5):2267-2276. PubMed ID: 35754142
[TBL] [Abstract][Full Text] [Related]
16. Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning.
Zhu X; Gao Y; Liu F; Crozier S; Sun H
Z Med Phys; 2022 May; 32(2):188-198. PubMed ID: 34312047
[TBL] [Abstract][Full Text] [Related]
17. QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping.
Stewart AW; Robinson SD; O'Brien K; Jin J; Widhalm G; Hangel G; Walls A; Goodwin J; Eckstein K; Tourell M; Morgan C; Narayanan A; Barth M; Bollmann S
Magn Reson Med; 2022 Mar; 87(3):1289-1300. PubMed ID: 34687073
[TBL] [Abstract][Full Text] [Related]
18. Automated adaptive preconditioner for quantitative susceptibility mapping.
Liu Z; Wen Y; Spincemaille P; Zhang S; Yao Y; Nguyen TD; Wang Y
Magn Reson Med; 2020 Jan; 83(1):271-285. PubMed ID: 31402519
[TBL] [Abstract][Full Text] [Related]
19. Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks.
Gao Y; Xiong Z; Shan S; Liu Y; Rong P; Li M; Wilman AH; Pike GB; Liu F; Sun H
Med Image Anal; 2024 May; 94():103160. PubMed ID: 38552528
[TBL] [Abstract][Full Text] [Related]
20. Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction.
Gao Y; Cloos M; Liu F; Crozier S; Pike GB; Sun H
Neuroimage; 2021 Oct; 240():118404. PubMed ID: 34280526
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
