Noise reduction methods for hybrid subtraction

Abstract
In digital subtraction angiography, hybrid subtraction provides selective vessel images free of soft-tissue motion artifacts but with a lower signal-to-noise ratio (SNR) than temporal subtraction images. An image processing method called measurement-dependent filtering was developed to enhance the SNR of hybrid images without losing resolution or selectivity. Linear combinations of 4 images consisting of a pre- and postcontrast dual-energy measurement pair form both the hybrid image and a lower noise but less selective vessel image. The noise-reduced image is derived by combining the low-frequency components of the hybrid image with the high frequency components of the lower noise image in a variety of ways. The results of the filtering method, when tested on both phantom and clinical data, display images with about the same degree of conspicuity as the hybrid image and a SNR approaching that of the temporal image.
Funding Information
  • National Science Foundation (ECS 78‐23307)
  • National Institutes of Health (NOI HV 02922)