New PyTorch library fastrad achieves 25× speedup over PyRadiomics for medical imaging feature extraction while maintaining 100% IBSI compliance.

fastrad processes radiomics scans in 0.116 seconds on RTX 4070 Ti compared to 2.90 seconds with CPU-based PyRadiomics

Implements all 8 IBSI feature classes (first-order, shape 2D/3D, GLCM, GLRLM, GLSZM, GLDM, NGTDM) as native GPU tensor operations

Validated against IBSI Phase 1 digital phantom with maximum deviation of 10⁻¹³% across 105 features

Outperforms PyRadiomics even on single-thread CPU by 2.63× on x86 and 3.56× on Apple Silicon, using only 654 MB peak VRAM