Dual-Feature Frequency Component Compression Method for Accelerating Reconstruction in Magnetic Particle Imaging
نویسندگان
چکیده
The frequency component compression method (FCCM) has been widely used in magnetic particle imaging (MPI) technology to improve reconstruction efficiency. This can reduce the time by using signal-to-noise ratio (SNR) feature remove high noise components. To further accelerate reconstruction, a dual-feature (DF-FCCM) was developed herein. A new energy spectral density (ESD) introduced describe level of measurement signal. By SNR and ESD feature, DF-FCCM select valuable components that contain low both signal system matrix. be reduced fewer more information. efficiency robustness proposed validated through extensive simulation experiments. Further real experiments based on OpenMPI data set verified applied MPI reconstruction. Compared previous SNR-FCCM, achieve similar or better quality 25% time. efficiently potential online imaging, which is essential for pre-clinical clinical applications.
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ژورنال
عنوان ژورنال: IEEE transactions on computational imaging
سال: 2023
ISSN: ['2333-9403', '2573-0436']
DOI: https://doi.org/10.1109/tci.2023.3255787