On using signal magnitude in diffusion magnetic resonance measurements of restricted motion
| Autor: | Alpay Ozcan |
|---|---|
| Přispěvatelé: | Acibadem University Dspace |
| Rok vydání: | 2019 |
| Předmět: |
Diffusion-weighted magnetic resonance imaging
Open problem Biomedical Engineering Biophysics Magnitude (mathematics) FOS: Physical sciences Systems and Control (eess.SY) Electrical Engineering and Systems Science - Systems and Control Signal 030218 nuclear medicine & medical imaging Diffusion Motion 03 medical and health sciences symbols.namesake 0302 clinical medicine Magnetic resonance imaging FOS: Electrical engineering electronic engineering information engineering Humans Computer Simulation Radiology Nuclear Medicine and imaging Diffusion (business) Physics Fourier Analysis Basis (linear algebra) Reproducibility of Results Signal Processing Computer-Assisted Models Theoretical Physics - Medical Physics Hermitian matrix Symmetry (physics) Computational physics Diffusion Magnetic Resonance Imaging Fourier transform symbols Medical Physics (physics.med-ph) 030217 neurology & neurosurgery |
| Popis: | Tissue microstructure has significance as a biomarker, however its accurate inference with diffusion magnetic resonance (MR) is still an open problem. With few exceptions, diffusion weighted (DW) MR models either process diffusion MR data using signal magnitude, whereby microstructural information is forcefully confined to symmetry due to Fourier transform properties, or directly use symmetric basis expansions. Herein, information loss from magnitude utilization is demonstrated by numerically simulating particles undergoing diffusion near a fully reflective infinite wall and an orthogonal corner. Simulation results show that the loss of the Hermitian property when using signal magnitude impedes DW--MR from accurately inferring microstructural information in both of the geometries. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|