143 related articles for article (PubMed ID: 30773331)
1. SHARQnet - Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network.
Bollmann S; Kristensen MH; Larsen MS; Olsen MV; Pedersen MJ; Østergaard LR; O'Brien K; Langkammer C; Fazlollahi A; Barth M
Z Med Phys; 2019 May; 29(2):139-149. PubMed ID: 30773331
[TBL] [Abstract][Full Text] [Related]
2. Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities.
Jung W; Bollmann S; Lee J
NMR Biomed; 2022 Apr; 35(4):e4292. PubMed ID: 32207195
[TBL] [Abstract][Full Text] [Related]
3. DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping.
Bollmann S; Rasmussen KGB; Kristensen M; Blendal RG; Østergaard LR; Plocharski M; O'Brien K; Langkammer C; Janke A; Barth M
Neuroimage; 2019 Jul; 195():373-383. PubMed ID: 30935908
[TBL] [Abstract][Full Text] [Related]
4. A data-driven deep learning pipeline for quantitative susceptibility mapping (QSM).
Wang Z; Xia P; Huang F; Wei H; Hui ES; Mak HK; Cao P
Magn Reson Imaging; 2022 May; 88():89-100. PubMed ID: 35124180
[TBL] [Abstract][Full Text] [Related]
5. MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping.
Feng R; Zhao J; Wang H; Yang B; Feng J; Shi Y; Zhang M; Liu C; Zhang Y; Zhuang J; Wei H
Neuroimage; 2021 Oct; 240():118376. PubMed ID: 34246768
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. A preliminary attempt to visualize nigrosome 1 in the substantia nigra for Parkinson's disease at 3T: An efficient susceptibility map-weighted imaging (SMWI) with quantitative susceptibility mapping using deep neural network (QSMnet).
Jo M; Oh SH
Med Phys; 2020 Mar; 47(3):1151-1160. PubMed ID: 31883389
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. 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]
14. Multi-echo dipole inversion for magnetic susceptibility mapping.
Kames C; Doucette J; Rauscher A
Magn Reson Med; 2023 Jun; 89(6):2391-2401. PubMed ID: 36695283
[TBL] [Abstract][Full Text] [Related]
15. Quantitative susceptibility mapping using deep neural network: QSMnet.
Yoon J; Gong E; Chatnuntawech I; Bilgic B; Lee J; Jung W; Ko J; Jung H; Setsompop K; Zaharchuk G; Kim EY; Pauly J; Lee J
Neuroimage; 2018 Oct; 179():199-206. PubMed ID: 29894829
[TBL] [Abstract][Full Text] [Related]
16. Comparison of quantitative susceptibility mapping methods for iron-sensitive susceptibility imaging at 7T: An evaluation in healthy subjects and patients with Huntington's disease.
Yao J; Morrison MA; Jakary A; Avadiappan S; Chen Y; Luitjens J; Glueck J; Driscoll T; Geschwind MD; Nelson AB; Villanueva-Meyer JE; Hess CP; Lupo JM
Neuroimage; 2023 Jan; 265():119788. PubMed ID: 36476567
[TBL] [Abstract][Full Text] [Related]
17. Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks.
Gao Y; Xiong Z; Fazlollahi A; Nestor PJ; Vegh V; Nasrallah F; Winter C; Pike GB; Crozier S; Liu F; Sun H
Neuroimage; 2022 Oct; 259():119410. PubMed ID: 35753595
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Phase processing for quantitative susceptibility mapping of regions with large susceptibility and lack of signal.
Fortier V; Levesque IR
Magn Reson Med; 2018 Jun; 79(6):3103-3113. PubMed ID: 29130526
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
