Structured low-rank approach for high temporal resolution of TWIST imaging = 재구축된 낮은 계수 행렬을 이용한 트위스트 이미징의 시간적 해상도 향상 연구

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 341
  • Download : 0
Magnetic resonance imaging (MRI) is a widely used modality and dynamic contrast enhanced (DCE) imaging is one of the important methods to diagnose a tumor. In DCE MRI, temporal resolution and spatial resolution are important factors to determine image quality. In particular, time-resolved angiography with interleaved stochastic trajectories (TWIST) contributes wonderful improvement in temporal and spatial resolution. However, the temporal resolution of TWIST is not a true one. This is because the periphery of k-space data from several time frames should be shared to make one image. A conventional method to reconstruct the k-space data is generalized autocalibrating partially parallel acquisitions(GRAPPA) which is one of the popular parallel imaging(PI) algorithms. We proposed the method to improve the temporal resolution of TWIST with comparable spatial resolution. For our purpose, we employ a recently proposed annihilating filter-based low rank Hankel matrix approach (ALOHA). In vivo results showed significantly improved temporal resolution than the standard TWIST reconstruction.
Advisors
Ye, Jong Chulresearcher예종철researcher
Description
한국과학기술원 :바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2017
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2017.2,[iv, 36 p. :]

Keywords

TWIST imaging; parallel imaging; compressed sensing; structured low-rank matrix; temporal resolution; 트위스트 이미징; 병렬 영상; 압축센싱; 재구축된 낮은 계수 행렬; 시간적 해상도

URI
http://hdl.handle.net/10203/242985
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=675200&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0