Skeleton-Guided Diffusion Model for Accurate Foot X-ray Synthesis in Hallux Valgus Diagnosis
Journal:
arXiv
Published Date:
May 13, 2025
Abstract
Medical image synthesis plays a crucial role in providing anatomically
accurate images for diagnosis and treatment. Hallux valgus, which affects
approximately 19% of the global population, requires frequent weight-bearing
X-rays for assessment, placing additional strain on both patients and
healthcare providers. Existing X-ray models often struggle to balance image
fidelity, skeletal consistency, and physical constraints, particularly in
diffusion-based methods that lack skeletal guidance. We propose the
Skeletal-Constrained Conditional Diffusion Model (SCCDM) and introduce KCC, a
foot evaluation method utilizing skeletal landmarks. SCCDM incorporates
multi-scale feature extraction and attention mechanisms, improving the
Structural Similarity Index (SSIM) by 5.72% (0.794) and Peak Signal-to-Noise
Ratio (PSNR) by 18.34% (21.40 dB). When combined with KCC, the model achieves
an average score of 0.85, demonstrating strong clinical applicability. The code
is available at https://github.com/midisec/SCCDM.
