Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jakob Klosowski"'
Autor:
Jens Frahm, Jakob Klosowski, Dirk Voit, Volkert Roeloffs, Zhengguo Tan, Martin Uecker, Xiaoqing Wang
Publikováno v:
Magnetic Resonance in Medicine. 79:730-740
Purpose To develop a model-based reconstruction technique for single-shot T1 mapping with high spatial resolution, accuracy, and precision using an inversion-recovery (IR) fast low-angle shot (FLASH) acquisition with radial encoding. Methods The prop
Autor:
Jens Frahm, Jakob Klosowski
Publikováno v:
Magnetic Resonance in Medicine. 77:1340-1352
Purpose To develop an image noise filter suitable for MRI in real time (acquisition and display), which preserves small isolated details and efficiently removes background noise without introducing blur, smearing, or patch artifacts. Theory and Metho
Autor:
Julius Fleischhammer, Jens Frahm, Markus Untenberger, K-dietmar Merboldt, Dirk Voit, Andreas Merrem, Sabine Hofer, Jakob Klosowski
Publikováno v:
Investigative Radiology
OBJECTIVE: The aim of this study was to develop a rapid diffusion-weighted (DW) magnetic resonance imaging (MRI) technique for whole-brain studies without susceptibility artifacts and measuring times below 3 minutes. MATERIALS AND METHODS: The propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::892d8fd3a3ee7f231735282c0d3655ba
https://hdl.handle.net/11858/00-001M-0000-002D-38B2-721.11116/0000-0001-3A29-1
https://hdl.handle.net/11858/00-001M-0000-002D-38B2-721.11116/0000-0001-3A29-1
Autor:
Xiaoqing, Wang, Volkert, Roeloffs, Jakob, Klosowski, Zhengguo, Tan, Dirk, Voit, Martin, Uecker, Jens, Frahm
Publikováno v:
Magnetic resonance in medicine. 79(2)
To develop a model-based reconstruction technique for single-shot TThe proposed model-based reconstruction jointly estimates all model parameters, that is, the equilibrium magnetization, steady-state magnetization, 1/ T1*, and all coil sensitivities
Autor:
Jakob, Klosowski, Jens, Frahm
Publikováno v:
Magnetic resonance in medicine. 77(3)
To develop an image noise filter suitable for MRI in real time (acquisition and display), which preserves small isolated details and efficiently removes background noise without introducing blur, smearing, or patch artifacts.The proposed method exten