80 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 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.

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.

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.

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.

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 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.

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.

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.