QCORE LABS

QCORE LABSQCORE LABSQCORE LABS

QCORE LABS

QCORE LABSQCORE LABSQCORE LABS
  • Home
  • PWRR
  • About
  • Resonance Emulator
  • PWRR_LE
  • Published Research
  • PWRR DICOM SUITE

PWRR DICOM SUITE

QCore Labs latest "AI free" Breakthrough in medical imaging and diagnostics . 

Quality First

Our proprietary reconstruction kernel treats resolution as a recommendation, not a limitation.

Compression Ratios

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. 

Real Results

Pixel accurate measurements , regions of interest , angular measurements , text annotation along with a JSON audit report with every process.

World leading near lossless compression

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. 

Get in Touch

Exceptional Results

PACs can save an average of 50-85% data footprint with no perceptual or metadata loss 

Simple Implementation

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.

Enterprise Ready

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.

Near Perfect Image Reconstruction

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+

Copyright © 2026 QCore Labs - All Rights Reserved.


Powered by

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept