Reconstruction of Quantitative Susceptibility Maps using Annihilating Filter-Based Low-Rank Hankel Matrix Approach
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ahn, Hyun-Seo | ko |
| dc.contributor.author | Park, Sung-Hong | ko |
| dc.contributor.author | Ye, Jong Chul | ko |
| dc.date.accessioned | 2021-01-28T06:19:31Z | - |
| dc.date.available | 2021-01-28T06:19:31Z | - |
| dc.date.created | 2020-12-28 | - |
| dc.date.issued | 2018-06-20 | - |
| dc.identifier.citation | Joint Annual Meeting ISMRM-ESMRMB 2018, pp.2199 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/280324 | - |
| dc.description.abstract | In this study, we proposed a novel QSM image reconstruction algorithm using annihilating filter‑based low-rank hankel matrix (ALOHA) approach. Unlike the conventional algorithm that requires additional anatomical information, the proposed method estimates susceptibility map using direct 3D k-space domain interpolation in the Fourier domain. The proposed method showed superior performance over the conventional methods (SWIM, TSVD, TKD, MEDI, and TVSB) in a numerical phantom and in-vivo human brains. | - |
| dc.language | English | - |
| dc.publisher | International Society for Magnetic Resonance in Medicine | - |
| dc.title | Reconstruction of Quantitative Susceptibility Maps using Annihilating Filter-Based Low-Rank Hankel Matrix Approach | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.beginningpage | 2199 | - |
| dc.citation.publicationname | Joint Annual Meeting ISMRM-ESMRMB 2018 | - |
| dc.identifier.conferencecountry | FR | - |
| dc.identifier.conferencelocation | Paris Expo Porte de Versailes Paris | - |
| dc.contributor.localauthor | Park, Sung-Hong | - |
| dc.contributor.localauthor | Ye, Jong Chul | - |
- Appears in Collection
- BiS-Conference Papers(학술회의논문)
- Files in This Item
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.