MRI K-Space Data Processing: Central Adjustment and Fourier Transform for Image Reconstruction
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In this process, MRI systems read k-space data and perform central adjustment before applying Fourier transform to reconstruct anatomical images. The implementation typically involves loading raw k-space data arrays, using functions like fftshift() to reposition the data center, and applying 2D inverse Fourier transform (ifft2()) for spatial domain conversion. When analyzing these reconstructed images, clinicians can extract crucial information about internal anatomical structures and pathological conditions. Consequently, MRI has become one of the most vital imaging techniques in medical fields, widely employed for diagnostic and therapeutic purposes. Beyond clinical applications, MRI technology plays significant roles in scientific research, biomedical engineering, and neuroscience studies, where proper k-space processing forms the foundation for advanced quantitative analysis and feature extraction.
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