Band-limited implicit neural representations for diffusion-weighted imaging denoising
Authors
Published Date: 2026-01
“ABSTRACT: Purpose. Diffusion-weighted imaging (DWI) has significant value in disease diagnosis and treatment response monitoring, but its inherent low signal-to-noise ratio (SNR) severely affects image quality and quantification accuracy. Existing denoising techniques often blur important tissue boundary information when suppressing noise. Methods. This study proposes a band-limited implicit neural representation (BL-INR) framework for DWI denoising. ….” [Click Link for full article.]
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Reproducibility, Quality Assurance, Diffusion Phantom Model 128, Quality Control, Diffusion-Weighted Imaging (DWI), NIST/RSNA/NCI Diffusion Phantom, NIST/QIBA Phantom, NIST