Accelerating acquisition strategies for low-frequency conductivity imaging using MREIT
| Autor: | Neeta Ashok Kumar, Munish Chauhan, Aprinda Indahlastari, Rosalind J. Sadleir, Jin Keun Seo, Yizhuang Song |
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| Rok vydání: | 2018 |
| Předmět: |
Materials science
Acoustics 0206 medical engineering Image processing 02 engineering and technology Low frequency Conductivity Article 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Data acquisition Image Processing Computer-Assisted Humans Radiology Nuclear Medicine and imaging Tomography Electrical impedance tomography Radiological and Ultrasound Technology Phantoms Imaging Magnetic resonance electrical impedance tomography Electric Conductivity Phantom data Magnetic Resonance Imaging 020601 biomedical engineering Undersampling Algorithms |
| Zdroj: | Physics in Medicine & Biology. 63:045011 |
| ISSN: | 1361-6560 |
| Popis: | We sought to improve efficiency of Magnetic Resonance Electrical Impedance Tomography data acquisition so that fast conductivity changes or electric field variations could be monitored. Undersampling of k-space was used to decrease acquisition times in spin-echo-based sequences by a factor of two. Full MREIT data were reconstructed using continuity assumptions and preliminary scans gathered without current. We found that phase data were reconstructed faithfully from undersampled data. Conductivity reconstructions of phantom data were also possible. Therefore, undersampled k-space methods can potentially be used to accelerate MREIT acquisition. This method could be an advantage in imaging real-time conductivity changes with MREIT. |
| Databáze: | OpenAIRE |
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