Automatic Exposure Control Device for Digital Mammography.

摘要

The broad, long-term objective of this IDEA proposal is to achieve optimized image quality for DM within acceptable limits of radiation exposure by developing innovative approaches for controlling DM exposures. These approaches entail using the digital detector and an artificial neural network to control mammographic exposures. This project's specific aims are: (1) to use short, low dose pre-exposures of the breast to create 'intelligent' regions of interest that determine the exposure parameters for the fully exposed image; and (2) to use an artificial neural network to select exposure parameters (mAs, kVp, and beam filtration) based on 'intelligent decisions' that optimize signal-to-noise (SNR) as a function of mean glandular dose.