An Efficient Real-Time Filtering Approach for Image Processing of Digital Subtraction Angiography
Hong Zhu · Applied Mechanics and Materials · 2012
Digital subtraction angiograph system is widely used in the angiograph examinations. Its primitive images cannot be used directly by doctors because of their considerable noises. The human’s brain blood vessels usually squirm slowly, so there is much more correlativity between two adjacent frame images, and they can be described as low frequency signals. A low-pass self-adaptive recursive filter is designed to eliminate the noises of DSA images, of which the filtering factor attenuates exponentially with the differences of two adjacent frames. A practical DSA image processing system is designed with a Field Programmable Gate Array, including the image sampler, analog to digital converter, filter, and display device. The system has been successfully applied in hospitals, and it can meet the clinical needs.