
QCore Labs latest "AI free" Breakthrough in medical imaging and diagnostics .
Our proprietary reconstruction kernel treats resolution as a recommendation, not a limitation.
Our one of a kind DCM packer can take 100's of frames and sequentially pack them in t master .dcm file at a fraction of the original folder size.
Pixel accurate measurements , regions of interest , angular measurements , text annotation along with a JSON audit report with every process.

Giving clinicians the ability to consolidate full imaging studies in to a single master DCM has more benefits than just folder organization. 7 .dcm files at 515kb each were packaged into a single master at a compressed size of 739kb.
PACs can save an average of 50-85% data footprint with no perceptual or metadata loss
PWRR Dicom isnt a replacement for current systems, it's an addition. Simply insert the PWRR process in between your normal collection and the PAC storage processes.
While PWRR can run efficiently on a standard laptop gpu , our custom server GPU kernels make the process even faster. in recent benchmarks using the Ampere A100 GPU , we achieved reconstruction rates exceeding 30 fps. with a stunning 79% compression ratio.
PWRR Dicom suite image comparison suite
Load full study folders and compare them to the single processed output file
Proven results that speak for themselves. avg SSIM metric is .993 with a PSNR of 40+

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