81 results about "Biomechanical model" patented technology

A virtual reality display system that generates display images in two phases: the first phase renders images based on a predicted pose at the time the display will be updated; the second phase re-predicts the pose using recent sensor data, and corrects the images based on changes since the initial prediction. The second phase may be delayed so that it occurs just in time for a display update cycle, to ensure that sensor data is as accurate as possible for the revised pose prediction. Pose prediction may extrapolate sensor data by integrating differential equations of motion. It may incorporate biomechanical models of the user, which may be learned by prompting the user to perform specific movements. Pose prediction may take into account a user's tendency to look towards regions of interest. Multiple parallel pose predictions may be made to reflect uncertainty in the user's movement.

Method and system for computation of advanced heart measurements from medical images and data; and therapy planning using a patient-specific multi-physics fluid-solid heart model is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image patient data. A patient-specific computational heart model is generated based on the patient-specific anatomical model of the left and right ventricles and patient-specific clinical data. The computational model includes biomechanics, electrophysiology and hemodynamics. To generate the patient-specific computational heart model, initial patient-specific parameters of an electrophysiology model, initial patient-specific parameters of a biomechanics model, and initial patient-specific computational fluid dynamics (CFD) boundary conditions are marginally estimated. A coupled fluid-structure interaction (FSI) simulation is performed using the initial patient-specific parameters, and the initial patient-specific parameters are refined based on the coupled FSI simulation. The estimated model parameters then constitute new advanced measurements that can be used for decision making.

A method and system for real-time ultrasound guided prostate needle biopsy based on a biomechanical model of the prostate from 3D planning image data, such as magnetic resonance imaging (MRI) data, is disclosed. The prostate is segmented in the 3D ultrasound image. A reference patient-specific biomechanical model of the prostate extracted from planning image data is fused to a boundary of the segmented prostate in the 3D ultrasound image, resulting in a fused 3D biomechanical prostate model. In response to movement of an ultrasound probe to a new location, a current 2D ultrasound image is received. The fused 3D biomechanical prostate model is deformed based on the current 2D ultrasound image to match a current deformation of the prostate due to the movement of the ultrasound probe to the new location.

The present invention relates to a light-weight, small and portable ambulatory sensor for measuring and monitoring a person's physical activity. Based on these measurements and computations, the invented system quantifies the subject's physical activity, quantifies the subject's gait, determines his or her risk of falling, and automatically detects falls. The invention combines the features of portability, high autonomy, and real-time computational capacity. High autonomy is achieved by using only accelerometers, which have low power consumption rates as compared with gyroscope-based systems. Accelerometer measurements, however, contain significant amounts of noise, which must be removed before further analysis. The invention therefore uses novel time-frequency filters to denoise the measurements, and in conjunction with biomechanical models of human movement, perform the requisite computations, which may also be done in real time.

Action data for the animation of characters is generated in a computer animation system. Body part positions for a selected character are positioned in response to body part positions captured from performance data. The positions and orientations of body parts are identified for a generic actor in response to a performance in combination with a bio-mechanical model. As a separate stage of processing, positions and orientations of body parts for a character are identified in response to the position and orientation of body parts for the generic actor in combination with a bio-mechanical model. Registration data for the performance associates body parts of the performance and body parts of the generic actor. Similar registration data for the character associates body parts in the generic actor with body parts of the character. In this way, using the generic actor model, it is possible to combine any performance data that has been registered to the generic actor with any character definitions that have been associated to a similar generic actor.

The invention relates to an object deformation real-time simulation graphic processing technique, particularly a soft tissue deformation simulation method based on coupling of mesh-free Galerkin and mass spring, which comprises the following steps: in the pretreatment process, establishing a linear viscoelasticity biomechanical model for soft tissues; in the deformation computation process, dynamically partitioning a mesh-free region and a mass spring region according to the load carried by the soft tissues, establishing a transitional unit of the connection region between the mesh-free region and mass spring region, and constructing a transitional unit approximation displacement function, thereby implementing self-adapting coupling of a mesh-free Galerkin method and a mass spring method;and in the after-treatment process, outputting the state of the mass or node of each time step in the deformation process onto a screen, carrying out illumination rendering, and finally displaying the real-time deformation process of the soft tissue organ under stressed conditions on the screen, thereby implementing visualization effect of dynamic deformation. By utilizing the advantage of high efficiency in the mass spring method and the advantages of high precision and no need of mesh reconstruction in the mesh-free Galerkin method, the invention overcomes the defect that the Galerkin method is not suitable for solving a large-scale problem, thereby effectively lowering the complexity of computation in the soft tissue deformation simulation and enhancing the operation efficiency.

The present disclosure is directed to a body-worn sensor-based system for evaluating the biomechanics and the motor adaptation characteristics of postural control during a sport activity such as a golf swing. Various embodiments use sensors such as accelerometers, gyroscopes, and magnetometers to measure the three-dimensional motion of ankle and hip joints. In several embodiments, additional sensors attached to other body segments are used to improve the accuracy of the data or detect particular instants during the swing (e.g., top of back swing, instant of the maximum speed of arm, and instant of ball impact). In a golf embodiment, the system combines the measured data in conjunction with a biomechanical model of the human body to: (1) estimate the two-dimensional sway of the golfer's center of mass; (2) quantify and evaluate the golfer's balance via his / her postural compensatory strategy; and (3) provide visual feedback to the golfer for improving dynamic postural control.

A method and system for registering pre-operative images and intra-operative images using biomechanical simulations is disclosed. A pre-operative image is initially registered to an intra-operative image by estimating deformations of one or more segmented anatomical structures in the pre-operative image, such as the liver, surrounding tissue, and the abdominal wall, using biomechanical gas insufflation model constrained. The initially registered pre-operative image is then refined using diffeomorphic non-rigid refinement.

The method relates to a soft tissue deformation simulation method. The soft tissue deformation simulation method includes the following steps: a biomechanics model of soft tissue is built, and mass points in the biomechanics model are initialized; force feedback equipment exerts action force on the soft tissue to carry out collision detection; motion state information is calculated in an improved Euler algorithm; the state of each time step of the model is output to a display screen, and the deformation process of the soft tissue is displayed in a dynamic mode; feedback force is calculated, and touch feedback is output. By means of the steps, real-time performance, precision and smoothness of the feedback force in virtual operation simulation can be effectively achieved, precision and real-time performance of soft tissue deformation simulation are improved, and accordingly requirements of virtual operation simulation are met.

An in vitro biomechanical model used to applied hemodynamic (i.e., blood flow) patterns modeled after the human circulation to human / animal cells in culture. This model replicates hemodynamic flow patterns that are measured directly from the human circulation using non-invasive magnetic resonance imaging and translated to the motor that controls the rotation of the cone. The cone is submerged in fluid (i.e., cell culture media) and brought into close proximity to the surface of the cells that are grown on the plate surface. The rotation of the cone transduces momentum on the fluid and creates time-varying shear stresses on the plate or cellular surface. This model most closely mimics the physiological hemodynamic forces imparted on endothelial cells (cell lining blood vessels) in vivo and overcomes previous flow devices limited in applying more simplified nonphysiological flow patterns. Another aspect of this invention is directed to incorporate a transwell co-cultured dish. This permits two to three or more different cell types to be physically separated within the culture dish environment, while the inner cellular surface is exposed to the simulated hemodynamic flow patterns. Other significant modifications include custom in-flow and out-flow tubing to supply media, drugs, etc. separately and independently to both the inner and outer chambers of the coculture model. External components are used to control for physiological temperature and gas concentration. The physical separation of adherent cells by the artificial transwell membrane and the bottom of the Petri dish permits each cell layer, or surface to be separately isolated for an array of biological analyses (i.e., protein, gene, etc.).

The invention relates to a skeletal muscle mechanical behavior multiscale modeling method and aims at solving the problem in the prior art that a complete process from cell electrophysiologic action potential activation to skeletal muscle mechanical output cannot be simulated. The method comprises the steps of S1, determining positions and attitudes of muscle fibers; S2, establishing a skeletal muscle macroscopic geometric model and a skeletal muscle microcosmic geometric model according to the S1; S3, carrying out grid division on the geometric models established in the S2; S4, carrying out skeletal muscle electrophysiologic property modeling according to the S3; S5, carrying out multiscale calculation between cells and muscle tissues according to the S3 and S4; S6, establishing a skeletal muscle multiscale biomechanics model according to the S5; and S7, predicting muscular force according to the S6. The method is applied to the field of biomedical engineering.

The invention relates to the field of human body movement recognition, and provides a swimming attitude measuring method based on a wearing-type sensor. The method comprises the steps that a moving signal and a magnetometer signal of limbs when a body stands and swims are collected by using the wearing type sensor respectively; the initial attitude of the limbs is obtained, correction is conductedon the initial attitude, and the corrected initial attitude is obtained; quaternion of a sensor coordinate system and a geographical coordinate system can be obtained through a gravity vector direction and a magnetic field north magnetic pole direction, and the quaternion is utilized to perform calibration on the body initial attitude and a biomechanic model, a complementary filtering algorithm is utilized to eliminate sensor error, and body swimming attitude updating is conducted by using the moving signal and the magnetometer signal in the swimming process. By means of the method, swimmingbody attitude can be captured, and the attitudes of swimmers are comparable through kinematic analysis.

The present invention relates to the biomechanical model of human lower jawbone in oral cavity masticatory surface surgery, and aims at forming one kind of experimental biomechanical model of human lower jawbone approaching the functional state. The biomechanical model includes lower jawbone, upper jaw model, temporomandibular joint model, occlusion platform, loading myodynamia and loading device. The model can be used in simulating the action of masseter, temporal muscle, musculus pterygoideus internus and musculus pterygoideus externus, and is superior to available simplified model. The biomechanical model of the present invention is accurate, objective and complete in simulating lower jawbone in functional state and is significant for relevant laboratory research and clinical application.

A method and system for prediction of respiratory motion from 3D thoracic images is disclosed. A patient-specific anatomical model of the respiratory system is generated from 3D thoracic images of a patient. The patient-specific anatomical model of the respiratory system is deformed using a biomechanical model. The biomechanical model is personalized for the patient by estimating a patient-specific thoracic pressure force field to drive the biomechanical model. Respiratory motion of the patient is predicted using the personalized biomechanical model driven by the patient-specific thoracic pressure force field.

A virtual reality display system that generates display images in two phases: the first phase renders images based on a predicted pose at the time the display will be updated; the second phase re-predicts the pose using recent sensor data, and corrects the images based on changes since the initial prediction. The second phase may be delayed so that it occurs just in time for a display update cycle, to ensure that sensor data is as accurate as possible for the revised pose prediction. Pose prediction may extrapolate sensor data by integrating differential equations of motion. It may incorporate biomechanical models of the user, which may be learned by prompting the user to perform specific movements. Pose prediction may take into account a user's tendency to look towards regions of interest. Multiple parallel pose predictions may be made to reflect uncertainty in the user's movement.

This disclosure relates to a system and method to analyze balance and stability of a patient. Test data for the patient, representing motion of a device affixed to the patient during a test interval (e.g., at a position approximating the center of mass, such as in proximity to the torso), can be received. The test data can be processed to provide processed data (or sensor-derived data) that includes at least one of acceleration data, rotational rate data and rotational position data for the test interval. A biomechanical model can be applied to the processed data to provide center of mass (COM) motion data representing movement of the COM in multiple dimensions for the patient during the test interval. An indication of balance for the patient can be determined based on the COM motion data. The indication of balance can be used to analyze the balance and stability of the patient.

The disclosure relates to a robotic device for performing a medical intervention on a patient using a medical instrument, comprising:a robot arm having several degrees of freedom and having an end suitable for receiving the medical instrument,an image capture system suitable for capturing position information concerning the anatomy of the patient,a storage medium having a biomechanical model of the human body,a processing circuit configured to determine a position setpoint and an orientation setpoint for said medical instrument on the basis of the biomechanical model, on the basis of the position information and on the basis of a trajectory to be followed by the medical instrument in order to perform the medical intervention, anda control circuit configured to control the robot arm in order to place the medical instrument in the position setpoint and the orientation setpoint.

Systems and methods are shown for developing physics-based high resolution biomechanical head and neck deformable models for generating ground-truth deformations that can be used for validating both image registration and adaptive RT frameworks.

The disclosure relates to an image processing method for estimating a brain shift in a patient, the method involving: the processing of a three-dimensional image of the brain of a patient, acquired before a surgical operation, in order to obtain a reference cerebral arterial tree structure of the patient; the processing of three-dimensional images of the brain of the patient, acquired during the operation, in order to at least partially reconstitute a current cerebral arterial tree structure of the patient; the determination from the combination of the reference and current cerebral arterial tree structures, of a field of shift of the vascular tree representing the shift of the current vascular tree in relation to the reference vascular tree; the application of the determined field of shift of the vascular tree to a biomechanical model of the brain of the patient in order to estimate the brain shift of the patient; and the generation, from the estimated brain shift, of at least one image of the brain of the patient, in which the brain shift is compensated.

The invention discloses an estimation method for a biological tissue two-dimensional displacement field in ultrasonic elastography. The estimation method comprises the following steps of: (1) acquiring an ultrasonic image and estimating a longitudinal displacement component; (2) establishing a system discrete equation through a biological tissue mechanical model; and (3) estimating the biological tissue two-dimensional displacement field through H-infinity filtering. The estimation method for the two-dimensional displacement field disclosed by the invention obtains the optimal estimation for the displacement field by using a conventionally obtained longitudinal displacement measured value through an H-infinity filtering algorithm under the restriction of the biological mechanical model, so that the estimation method restores a high-quality lateral displacement component simultaneously when effectively filtering out the noise inside and outside the system, and is used for strain calculation and the reconstruction of elastic parameters; and compared with conventional methods, the estimation method disclosed by the invention can play a very effective role in the estimation for lateral displacement in the ultrasonic elastography.

The invention discloses a semi-on-body biomechanical experimental method using a cervical structure to simulate extensor muscles behind the neck. The method comprises the following steps: cutting out the first to seventh cervical vertebra, the first dorsal vertebra and the second dorsal vertebra from the body of a person who died within 2 hours, removing muscles while avoiding damaging ligaments and facet joints; fixing an upper bearing tray on the first cervical vertebra, fixing a lower bearing tray under the second dorsal vertebra, installing a loading weight on the upper bearing tray; opening 2-3mm of incisions separately at the front junctions and back joints of the third / fourth dorsal vertebra, the fourth / fifth dorsal vertebra, the fifth / sixth dorsal vertebra and the sixth / seventh dorsal vertebra, inserting miniature pressure sensors respectively, sewing with silk threads; connecting a tension sensor and a tension spring between the upper and lower bearing trays to prepare a cervical vertebra biomechanical model; and fixing a pulling-extending force sensor on a cervical vertebra experimental loading table, connecting a wedge-shaped metal block with the upper bearing tray through screws, using the loading table to apply a pulling-extending force and a loading force on the cervical vertebra biomechanical model, and recording the measured values.

The invention relates to a design method of a personalized condylar prosthesis with a topological optimized fixing unit and a porous condylar head unit. The method comprises the following steps: 1) reconstructing a condylar prosthesis and constructing a mandible biomechanical model; 2) performing topological optimization design on a fixing unit based on biomechanics; 3) designing the porous structure of the condylar head; 4) carrying out 3D printing on the personalized condylar prosthesis; and 5) carrying out post-treatment on the printed personalized condylar prosthesis to obtain the personalized condylar prosthesis which is applied to clinic and has the topological optimized fixing unit and the porous condylar head. The invention provides the design method of the personalized condylar prosthesis with the topological optimized fixing unit and the porous condylar head unit, and the personalized condylar prosthesis. The method effectively reduces the average maximum stress of the prosthesis, so that the prosthesis has better stability and is not easy to fall off.

A method and system for simulating cardiac function of a patient is disclosed. A patient-specific anatomical model of at least a portion of the patient's heart is generated from medical image data of the patient. Cardiac electrophysiology potentials are calculated over a computational domain defined by the patient-specific anatomical model for each of a plurality of time steps using a patient-specific cardiac electrophysiology model. The electrophysiology potentials acting on a plurality of nodes of the computational domain are calculated in parallel for each time step. Biomechanical forces over the computational domain for each of the plurality of time steps using a cardiac biomechanical model coupled to the cardiac electrophysiology model. The biomechanical forces acting on a plurality of nodes of the mesh domain are estimated in parallel for each time step. Blood flow and cardiac movement are computed at each of the plurality of time steps based on the calculated biomechanical forces. Computed electrophysiology potentials, biomechanical forces and cardiac parameters are displayed, user input is interactively received to change at least one of the parameters of the patient-specific models, and the electrophysiology potentials, the biomechanical forces, and the blood flow and cardiac movement are recalculated.

Systems and methods for model augmentation include receiving intra-operative imaging data of an anatomical object of interest at a deformed state. The intra-operative imaging data is stitched into an intra-operative model of the anatomical object of interest at the deformed state. The intra-operative model of the anatomical object of interest at the deformed state is registered with a pre-operative model of the anatomical object of interest at an initial state by deforming the pre-operative model of the anatomical object of interest at the initial state based on a biomechanical model. Texture information from the intra-operative model of the anatomical object of interest at the deformed state is mapped to the deformed pre-operative model to generate a deformed, texture-mapped pre-operative model of the anatomical object of interest.

A system and method for monitoring the running technique of a user undertaking a physical activity is described. The system comprises: a garment worn by the user incorporating a sensor for the detection of a parameter relating to the movement of the pelvis of the user; a processing unit configured to receive information about the parameter from the sensor, to compare the parameter with an aspect of a biomechanical model, and to determine if a feedback response is required; and means for providing the feedback response to the user. The method comprises the steps of: measuring a parameter relating to the movement of the pelvis of the individual; comparing the parameter with a biomechanical model to determine whether a feedback response is required and providing a feedback response if required.

The invention discloses a manufacturing method of a three-dimensional fixation plate for repairing a fracture lower jawbone and the three-dimensional fixation plate. The manufacturing method comprises the following steps: constructing a biomechanical model of a standard lower jawbone, and making a regional fracture fixation principle; and for the to-be-reconstructed lower jawbone, acquiring CT data of the to-be-reconstructed lower jawbone, conducting three-dimensional reconstruction and manufacturing the three-dimensional fixation plate. The three-dimensional fixation plate comprises a main connecting plate and a plurality of auxiliary connecting plates for connecting the fracture part of the to-be-repaired lower jawbone, wherein both the main connecting plate and the auxiliary connecting plates fit to the outer surface of the fracture part of the to-be-repaired lower jawbone; and the main connecting plate and the auxiliary connecting plates are fixedly connected to the to-be-repaired lower jawbone by virtue of titanium nails. The three-dimensional fixation plate disclosed by the invention has the beneficial effects that the three-dimensional fixation plate, which can achieve good matching with bones of a patient, is good in retention force and stability, so that the accuracy of lower jawbone fracture rigid internal fixation treatment is improved.

A fracture heal dynamic process simulation method based on a biological mechanism aims solve the problems that an existing fracture heal dynamic process model cannot integrally simulate complex relations between dynamic changes, mechanics environment changes and biology environment changes of a callus shape in a fracture healing process; the novel method comprises the following steps: 1, building a three dimensional geometry model; 2, dividing grids; 3, building a bone and callus biomechanics model; 4, determining simulation initial parameters and application loads, and boundary conditions; 5, deciding a normal blood supply unit and an non-normal blood supply unit, executing step6 for a normal blood supply zone, and executing step7 for a non-normal blood supply zone; 6, building a normal blood supply zone determinacy mathematics model; 7, building a non-normal blood supply zone fuzzy mathematics model; 8, building a bone fracture healing simulation process according to steps 6 and 7. The fracture heal dynamic process simulation method is applied to the biomedical engineering field.