99 results about "Arfi elastography" patented technology

The characterization of tissue viscoelastic properties requires the measurement of tissue displacements over a region of interest at frequencies that exceed significantly the frame rates of conventional medical imaging devices. The present invention involves using bandpass sampling to track high-frequency tissue displacements. With this approach, high frequency signals limited to a frequency bandwidth can be sampled and reconstructed without aliasing at a sampling frequency that is lower than the Nyquist rate. With bandpass sampling, it is feasible to use conventional beam-forming on diagnostic ultrasound machines to perform high frequency dynamic elastography. The method is simple to implement as it does not require beam interleaving, additional hardware or synchronization and can be applied to magnetic resonance elastography.

Acquisition settings for elasticity imaging are controlled (28) based on detected motion (26). Rather than rely solely on user settings, one or more acquisition parameters are automatically set (28) based on the detected motion (26). For example, the settings provide for a more rapid frame rate with less resolution in elasticity imaging for times associated with greater motion and for less rapid frame rate with greater resolution for times associated with lesser motion.

A system for performing ablation includes an ablation device (102) configured to ablate tissue in accordance with control parameters and configured to make measurements during the ablation process. An imaging system (104) is configured to measure an elastographic related parameter to monitor ablation progress. A parameter estimation and monitoring module (115) is configured to receive the measurements from the ablation device and / or the elastographic related parameter to provide feedback to adaptively adjust imaging parameters of the imaging device at different times during an ablation process.

The invention discloses a blood vessel guided wave elastic imaging method and system based on machine learning. The blood vessel guided wave elastic imaging method comprises the steps that numerical simulation is conducted on propagation of shear waves in a thin layer system of a blood vessel through finite element software, and a finite element analysis result is obtained; motion speed distribution of nodes in the whole field is obtained according to the finite element analysis result, the motion speeds of the nodes on the center line of a thin layer are extracted, and a frequency dispersioncurve is obtained to serve as an input signal of a neural network; and a training set and a test set of the neutral network are obtained according to the frequency dispersion curve, training is conducted through a neutral network method till the error on the training set is less than a preset value, and a blood vessel guided wave elastic imaged picture is obtained through the final neutral network. According to the blood vessel guided wave elastic imaging method, the measuring precision of blood vessel mechanical properties can be improved, good extensibility is achieved, in-vivo noninvasive rapid measurement of the blood vessel elastic property is achieved, operation is easy and convenient, and the measurement error is small.