Imad Nijim

PACS/VNA
The universal content viewer defined
Is your healthcare facility considering the implementation of a universal viewer? If so, you may have a few questions about how universal viewers work and their relationship to vendor-neutral archives. In this article, Imad Nijim of Perceptive Software offers his perspective.
June 12, 2014
2013 12 09 16 40 21 596 Binary 0s 1s 250 20131216213435
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Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.
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