Brain Super Resolution
A deep learning network that upscales, denoises, and enhances brain MRI scans up to 4x their original resolution. Trained on 250,000+ high-resolution medical scans, BrainSR transforms fast, low-resolution acquisitions into pristine diagnostic-quality images.
Why Brain Super Resolution?
Standard MRI scans often trade resolution for speed. BrainSR eliminates that compromise — transforming rapid, low-resolution acquisitions into images with outstanding anatomical detail.
4x Resolution Enhancement
Upscale from 160x160 to 640x640 pixels (configurable up to 1024x1024), revealing fine anatomical structures invisible in the original scan.
Faster Scan Protocols
Operators can perform rapid, low-resolution scans and rely on BrainSR to reconstruct high-quality output — increasing patient throughput and reducing wait times.
Intelligent Denoising
Simultaneously removes acquisition noise and artefacts while preserving critical diagnostic features, delivering cleaner images than the source hardware alone.
Diagnostic Confidence
Validated on tumour datasets including Schwannoma and GBM, achieving >85% SSIM and >30 dB PSNR against ground truth high-resolution scans.
Reduced Rescan Rates
Salvage motion-degraded or noisy acquisitions that would normally require the patient to be re-scanned, saving time and cost for both clinic and patient.
Seamless Integration
Accepts standard grayscale MRI input and delivers enhanced output compatible with existing PACS workflows. No hardware upgrades required.
How It Works
BrainSR uses a Conditional Generative Adversarial Network with deep residual blocks and curriculum learning to progressively reconstruct high-resolution detail from low-resolution input.
Low-Res Input
A standard 160x160 MRI scan is captured using a fast acquisition protocol.
Normalise & Degrade
Pixel normalisation and synthetic degradation modelling prepare the input for the generator.
GAN Super-Resolution
A generator with 24 residual blocks reconstructs detail, while a discriminator ensures perceptual realism.
Perceptual Refinement
VGG19 perceptual loss and adversarial sharpening produce crisp, diagnostically faithful textures.
High-Res Output
A 640x640 (or up to 1024x1024) image with enhanced clarity, ready for radiologist review.
Clinical Applications
BrainSR empowers radiologists and imaging centres with sharper diagnostics across a range of clinical scenarios.
Tumour Assessment
Reveal fine margins and micro-structures in brain tumours including Schwannoma and GBM, enabling more precise treatment planning and surgical guidance.
High-Throughput Clinics
Run faster, lower-resolution scan protocols and let BrainSR reconstruct diagnostic-quality images — reducing scan time and increasing daily patient volume.
Legacy Equipment Enhancement
Breathe new life into older MRI hardware by computationally boosting the resolution of scans beyond the physical limits of the scanner.