7 results about "Tissues types" patented technology

A surgical instrument, system and method for adjusting a compression force applied by a surgical instrument are disclosed. The method includes determining tissue impedance of tissue in contact with an end effector of the surgical instrument, determining a tissue type based on the tissue impedance, selecting a first energy modality to deliver to the surgical instrument, generating a first signal waveform based on the first energy modality, selecting a second energy modality to deliver to the surgical instrument, generating a second signal waveform based on the second energy modality, outputting the first and second signal waveform to deliver energy to the end effector, and adjusting a compression force applied by the end effector by changing a size of a gap between the tissue and the clamp arm based on a proportion of the first signal waveform to the second signal waveform.

A method includes receiving one or more radiological images of an anatomy of a patient. The method also includes identifying a boundary of different tissue types in the anatomy of the patient based at least partially upon the one or more radiological images. The method also includes identifying one or more regions within the boundary. The one or more regions include a lung region. The method also includes identifying healthy tissue and COVID-19 tissue in the lung region. The method also includes quantifying an extent of the COVID-19 tissue in the lung region by comparing an amount of the COVID-19 tissue in the lung region to an amount of the healthy tissue in the lung region. The method also includes classifying the extent of the COVID-19 tissue in the lung region into one or more of a plurality of COVID-19 classes.

A surgical instrument, system and method for adjusting a compression force applied by a surgical instrument are disclosed. The method includes determining tissue impedance of tissue in contact with an end effector of the surgical instrument, determining a tissue type based on the tissue impedance, selecting a first energy modality to deliver to the surgical instrument, generating a first signal waveform based on the first energy modality, selecting a second energy modality to deliver to the surgical instrument, generating a second signal waveform based on the second energy modality, outputting the first and second signal waveform to deliver energy to the end effector, and adjusting a compression force applied by the end effector by changing a size of a gap between the tissue and the clamp arm based on a proportion of the first signal waveform to the second signal waveform.

An ablation system includes an ablation generator, catheter, and a closed-loop ablation processor operably coupled thereto. The processor receives baseline tissue properties, such as baseline tissue impedance, tissue thickness, tissue anatomical location, tissue type, catheter-tissue contact force, catheter stability against the tissue, and baseline electrogram signal morphology. The processor also receives waveform parameters for the generator. Using the baseline tissue properties and the waveform parameters, the processor determines whether pulsed field or radiofrequency ablation therapy should be delivered and computes corresponding target ablation metric(s), such as a target ablation index. The processor then commands the generator to deliver ablation therapy to the tissue and monitors lesion formation using intra-therapeutic tissue properties (and waveform parameters) to compute intra-therapeutic ablation metric(s) and comparing the intra-therapeutic ablation metric(s) to the target ablation metric(s). Ablation therapy ceases when the intra-therapeutic ablation metric(s) satisfy the target ablation metric(s).

The invention discloses electrosurgical equipment and a working method thereof, the electrosurgical equipment comprises a host end and an instrument end, the instrument end comprises a jaw and a sensor module, the jaw is used for sealing tissue, and the sensor module comprises a Hall angle sensor and a pressure sensor; the host end comprises a closing detection module, an organization estimation module and a prediction engine; wherein the closing detection module is used for obtaining the current clamping tissue thickness Hcurrent and the current jaw clamping force Fcurrent of the electrosurgical equipment according to data detected by the Hall angle sensor and the pressure sensor; the tissue estimation module is used for judging the tissue type according to the current clamped tissue thickness Hcurrent and the current jaw clamping force Fcurrent; the prediction engine calculates the optimal excitation duration Tpred of the electrosurgical equipment according to a prediction model formula, the prediction model formula is Tpred = a * Hcurrent + b * Fcurrent + c * (Hcurrent * Fcurrent) + d, and in the formula, a, b, c and d are empirical coefficients obtained through experimental data fitting according to tissue types. According to the design of the invention, intelligent judgment and prompt of excitation duration and opportunity can be realized, and the operation precision and the safety and success rate of tissue cutting and sealing are improved.

The application relates to a simulation breast ultrasound scanning method and system based on force tactile feedback, the method comprising: acquiring a patient breast image, constructing a three-dimensional geometric model of a breast and internal structures thereof, and giving corresponding physical parameters to different tissue types; in the dynamic deformation process of the simulation breast soft tissue under external force, an implicit Euler time integral scheme is used to convert a dynamic problem into an energy minimization problem about node positions at the next time, wherein deformation energy of the breast tissue is divided into a stretching energy item and a volume change item, the stretching energy item is accurately solved through an optimization integrator, and the volume change item is approximately solved using a compliance constraint method and a Gauss-Seidel iteration method; and the solved deformation energy is converted into tactile information to simulate pressure changes and tissue rebounding feelings when a probe contacts with tissue in a real ultrasound examination. Compared with the prior art, the application can provide strong force and tactile feedback, enhances immersion and training effects.

An ablation system includes an ablation generator, catheter, and a closed-loop ablation processor operably coupled thereto. The processor receives baseline tissue properties, such as baseline tissue impedance, tissue thickness, tissue anatomical location, tissue type, catheter-tissue contact force, catheter stability against the tissue, and baseline electrogram signal morphology. The processor also receives waveform parameters for the generator. Using the baseline tissue properties and the waveform parameters, the processor determines whether pulsed field or radiofrequency ablation therapy should be delivered and computes corresponding target ablation metric(s), such as a target ablation index. The processor then commands the generator to deliver ablation therapy to the tissue and monitors lesion formation using intra-therapeutic tissue properties (and waveform parameters) to compute intra-therapeutic ablation metric(s) and comparing the intra-therapeutic ablation metric(s) to the target ablation metric(s). Ablation therapy ceases when the intra-therapeutic ablation metric(s) satisfy the target ablation metric(s).