2results about How to "Meet efficiency requirements" patented technology

This invention relates to medical X-ray imaging systems, specifically a method for measuring and calibrating a target in a DSA two-dimensional image when it deviates from its isocenter. The method is achieved through the following steps: 1. Under standard alignment or when the target is isocentered on the DSA machine, acquire and record relevant parameters of the target; 2. After the DSA machine rotates or the examination table moves, and the target deviates from its isocenter, acquire the corresponding parameters used when generating the two-dimensional image, including the machine's X-ray source rotation radius, rotation angle, examination table height and position, and the distance between the target and the table surface. Substitute these parameters into a calibration formula to calculate the calibrated X-ray source-target distance; 3. Calculate the estimated magnification using the calibrated X-ray source-target distance and the X-ray source-detector distance used when generating the two-dimensional image, thereby achieving pixel calibration of the two-dimensional image and ultimately achieving accurate measurement of the target.

The application provides a motor target parameter estimation and long-time phase correlation accumulation detection method and system, which first carries out radio frequency conditioning and sampling on a radar original echo, carries out pulse compression after obtaining a discrete complex baseband signal, and outputs a range focusing but still containing range migration frequency domain signal. The core step utilizes a second order Keystone transformation to correct the second order range migration of the target, outputs a second order correction signal eliminating the range-azimuth coupling, and then searches the optimal speed through a Bayesian optimization and CPU parallel acceleration algorithm. On this basis, the IAR algorithm is utilized in combination with the optimal speed estimation value to correct the first order range migration, and phase compensation is carried out according to the speed matching phase factor to obtain a phase matching signal. Finally, the matching signal is subjected to a non-uniform fast Fourier transformation in a slow time domain to realize energy focusing, and the complete motion parameters of the target are solved through analyzing the peak position and amplitude characteristics in the Doppler domain.