177 results about "Anatomic region" patented technology

The invention discloses a CBCT (Cone Beam Computed Tomography) high-quality CT (Computed Tomography) image synthesis method based on structure prior guidance, which comprises the following construction steps of patient data collection and arrangement, space guidance deformable attention convolution, structure prior guidance type conditional diffusion image synthesis and reasoning process and quality evaluation. The method specifically comprises the steps of technical design of a space guiding module, technical design of a deformable sampling kernel generator, technical design of an attention weight modulator, contour extraction operation, diffusion modeling operation, conditional denoising network design and target training. The method provided by the invention has the advantages of structural perception, high spatial selectivity, high modulability and the like; and the reduction precision of the model on the key anatomical region is enhanced by taking a contour map as a structure priori condition. The whole diffusion generation network realizes unification of local detail reservation and global structure stability while maintaining noise robustness, and gradually generates a high-quality pseudo CT image which is close to a real CT modal and has excellent structure consistency.

The invention discloses a heart image processing method and device, a storage medium and computer equipment, and relates to the technical field of nuclear medicine image processing and quantitative analysis. The method comprises the steps that a heart image to be processed is acquired, four cavities of the heart image are segmented based on a pre-trained segmentation model, segmentation masks are obtained, and the heart image is a CT image or an MR image; aligning the heart image into a PET space, so that the segmentation mask is mapped to a PET image corresponding to the heart image, and a PET segmentation image is obtained; and cutting the PET segmented image based on the segmentation mask to obtain a PET target anatomical region, and performing three-dimensional rendering on the PET target anatomical region to obtain a dynamic rendered image of tracer agent distribution. According to the method, the segmentation precision of the myocardial subregion can be improved, and the three-dimensional visualization effect of the heart image and the processing efficiency of the heart image are improved.

The invention relates to the technical field of medical image processing, and discloses a radiotherapy patient body surface contour monitoring and correction method and system, and the method comprises the steps: obtaining original point cloud data from the body surface of a patient through combining a three-dimensional scanning device, a stereoscopic microscope and an infrared sensor, and generating a high-resolution body surface contour model, dividing the body surface into a plurality of monitoring blocks based on a preset anatomical region division rule; local dynamic change features are extracted through time sequence analysis, correction guidance parameters are generated in combination with positioning information of an offset area, and a correction model is constructed to obtain a collaborative correction instruction set. And finally, correction is carried out based on the collaborative correction instruction set, whether correction succeeds or not is judged through a non-rigid registration technology, and if not, adjustment is carried out until correction succeeds. According to the method, the dynamic change of the body surface contour of the patient can be monitored and corrected in real time, accurate treatment positioning in the radiotherapy process is ensured, and the treatment effect and safety are improved.

Systems and methods are provided for reducing the reliance on operator skill during vascular ultrasound procedures. The placement of an ultrasound probe to assess perfusion associated with a wound may be facilitated by receiving input suitable for identifying an anatomical region associated with the wound and providing an indication of a suitable initial probe position, and optionally, probe orientation, for acoustically interrogating a target arterial vessel known to provide perfusion to the anatomical region associated with the wound. Regions exhibiting arterial flow may be detected as the probe is moved, enabling arterial vessel detection and localization. A subregion within the detected arterial vessel and a beam steering angle may be autonomously determined for spectral Doppler data collection, enabling the measurement of hemodynamic measures associated with the arterial vessel. Example apparatus for securing the probe to the patient and facilitating probe positioning to search for a target vessel are disclosed.

A device and system for real-time visualization of the electrophysiologic activity of a brain, particularly at the cortical surface. The neural device can acquire, process, and display high-spatiotemporal-resolution electrophysiologic data in real-time across entire electrode arrays spanning many thousands of electrodes over identified anatomic regions. The system is compatible with thin-film cortical surface electrodes that record from neural tissues without damaging those tissues. The system can be used to guide diagnostic and therapeutic actions with high precision, and also provides the basis for a brain-computer interface.

An electromyography (EMG) measurement device includes a garment configured to be worn on an anatomical region of an associated wearer, a plurality of electrodes arranged on the garment to contact skin of the anatomical region when the garment is worn on the anatomical region of the associated wearer, electronics operatively connected with the plurality of electrodes and configured to measure EMG data emanating from the anatomical region, and an electronic processor programmed to derive a contribution of spatial muscle activity of a target muscle or muscle group to the measured EMG data.

The invention discloses an MAP scoring method and device based on kidney three-dimensional modeling, and belongs to the field of medical image processing. The method comprises the following steps: acquiring kidney medical image data, wherein the kidney medical image data comprises kidney CT image data; preprocessing the kidney medical image data; generating a complete kidney three-dimensional model based on the kidney medical image data; calculating the centroid positions of all voxels in the renal vein three-dimensional model, and taking the Z coordinate of the centroid as a standard measurement plane; identifying an anatomical region needing to be measured on the standard measurement plane based on a deep learning segmentation model; extracting an outer contour of the kidney based on the kidney three-dimensional model, determining a posterior abdominal wall contour based on the front edge of the lumbar major muscle, and calculating the shortest distance between the outer contour of the kidney and the posterior abdominal wall contour; and determining a perirenal fat region, enhancing the strip-shaped structure by using a multi-scale filter, and calculating the proportion of the strip-shaped structure in the perirenal fat region. According to the invention, objective quantitative evaluation of perirenal fat adhesion risk is realized.

The invention provides a radiographic image report generation method and system of a CT image, and the method comprises the steps: firstly transmitting an input CT image into a region division module, carrying out the whole-organ segmentation of the image, then distributing a whole-organ segmentation result according to a preset anatomical region with clinical significance, obtaining an anatomical region image with clinical significance, and carrying out the whole-organ segmentation according to a preset anatomical region with clinical significance. An anatomical area image with clinical significance is sent to a report generation module, an area image report text is generated, the report text and an original image are sent to a text-driven focus detection module, the position of a focus in the image is obtained and reported, and a doctor modifies the area image report and then sends the area image report to a report writing module to generate a final report. And meanwhile, the report modified by the doctor and the report automatically generated by the model are sent to an AI report generation quality evaluation module, so that the model carries out immediate update learning.

An apparatus includes a memory to store first volumetric image data representing a first volumetric image of an anatomical region having a volume of interest (VOI). The first volumetric image includes several first voxels at first locations in the first volumetric image. The first volumetric image data includes first uncertainty values corresponding to the several first voxels. The first uncertainty values represent probabilities that the corresponding plurality of first voxels are part of the VOI. The memory is to store second volumetric image data representing a second volumetric image of the anatomical region. The apparatus includes a processing device operatively coupled to the memory. The processing device is to determine a deformation field to map the several first voxels to second locations in the second volumetric image. The deformation field is based in part on the first uncertainty values.

An electromyography (EMG) measurement system includes a garment configured to be worn on an anatomical region, electrodes arranged on the garment to contact skin of the anatomical region when the garment is worn on the anatomical region, electronics connected with the electrodes to measure EMG data emanating from the anatomical region, and an electronic processor programmed to filter the EMG data to suppress or remove artifacts using filters computed using approximate joint diagonalization of covariance (AJDC) matrices or by transforming the EMG data to source signals using iteratively adjusted forward filters.

The invention relates to the technical field of medical image processing and three-dimensional reconstruction, and particularly discloses a reconstruction and analogue simulation method based on a cardiac image. The method comprises the following steps: firstly, preprocessing an input CT or MRI medical image, and automatically segmenting a heart multi-tissue structure by using an nnUNetv2 model, including a plurality of anatomical regions such as atrium, ventricle, myocardial tissue and blood pool; and then performing topology repair, smoothing processing and label resampling on the segmentation result to obtain a three-dimensional label body with a continuous structure and a complete boundary. And based on the optimized tag body, constructing a heart three-dimensional surface model by adopting a Marching Cubes algorithm, and generating a multi-material volume grid suitable for finite element analysis. According to an electrode position and a radio frequency parameter set by a user, a radio frequency ablation simulation model based on a Pennes biological heat conduction equation and an Arrhenius model is established, a temperature field and a tissue thermal damage range are calculated, and a simulation result is displayed in a three-dimensional mode in an overlapping mode. According to the method, the integrated process from medical image automatic segmentation to heart three-dimensional reconstruction and thermal simulation is realized, the segmentation precision, the modeling efficiency and the simulation reliability are improved, and the method can be applied to application scenes such as surgical planning, preoperative evaluation and medical teaching.

A computer-implemented method of predicting a status of an embolization procedure on an aneurism, includes: receiving (S110) projection image data (110) representing temporal blood flow in a region of the anatomy including the aneurism during the embolization procedure; inputting (S120) the received projection image data (110) into a neural network (120) trained to predict temporal blood flow (130), wherein the neural network (120) is trained to predict temporal blood flow (130) using training data (140) representing temporal blood flow in a region of the anatomy that does not include an aneurism; and in response to the inputting (S120): generating (S130) an output (160) indicative of the status of the embolization procedure based on the predicted temporal blood flow.

An electromyography (EMG) measurement system includes a garment configured to be worn on an anatomical region, electrodes arranged on the garment to contact skin of the anatomical region when the garment is worn on the anatomical region, electronics connected with the electrodes to measure EMG data emanating from the anatomical region, and an electronic processor programmed to filter the EMG data to suppress or remove artifacts using filters computed using approximate joint diagonalization of covariance (AJDC) matrices or by transforming the EMG data to source signals using iteratively adjusted forward filters.

Methods and devices are provided for fabricating and employing patient immobilization devices during radiation treatment procedures. Immobilization devices are provided that include a thin conformal shell configured to conform to an anatomical region of a patient that is to be exposed to radiation during a radiation treatment procedure, with a rigid lattice structure extending outwardly, in an external, beam-facing direction, from the conformal shell. The rigid lattice structure confers structural rigidity to the device, and the thin cellular regions mitigate the impact of the device on a surface dose delivered to the patient or subject. The present mechanical-metamaterial-based immobilization devices incorporate structural features that confer advantageous mechanical properties and radiation transmissive properties when compared with conventional solid or mesh-based immobilization devices used in radiation therapy.

The present invention concerns extensible absorbent wound dressings. The wound dressing has a wound contact layer having a proximal surface facing toward the wound and a distal surface facing away from the wound, and a backing layer having a proximal surface facing toward the wound and a distal surface facing away from the wound, the backing layer having an absorbent region located on a proximal surface thereof, the absorbent region comprising a plurality of discrete absorbent members, wherein the backing layer is configured to be positioned over the wound contact layer, such that the absorbent region is located adjacent to the distal surface of the wound contact layer, and wherein the absorbent region and the wound contact layer are configured to be detached at least in an area inside a perimeter of the absorbent region. The absorbent wound dressings of the present invention can be used to dress so-called truly three-dimensional anatomical areas, such as for example a knee or an elbow.

A system for controllably inducing tissue death in an anatomical region inside a target. The system includes an ultrasound transducer for ultrasonically treating a target region in the presence of a contrast agent in the target region to cause sufficient damage to a blood vessel to kill or alter the function of tissue supplied by the damaged blood vessel; an acoustic detection system, the acoustic detection system comprising at least one detector for detecting an ultrasonic reflected signal from the target region after each acoustic pulse; and a controller configured to: (i) control the ultrasound transducer to deliver a series of acoustic pulses to the target region; (ii) receiving data characterizing the detected reflected signal from the acoustic detection system; and (iii) determining a degree of damage to vascular tissue within the target region based at least in part on the received data from the sound detection system.

The present application relates to the technical field of medical image processing, and particularly relates to a CBCT data enhancement method and system based on anatomical region constraint and physical consistency; a human body region mask is acquired and a data enhancement model only exerting enhancement disturbance on the human body anatomical tissue region is constructed, a plurality of enhancement disturbances conforming to the CBCT imaging physical mechanism are combined, the CBCT data after enhancement is strictly limited to the anatomical range, non-physical disturbance introduced by the air region is avoided, and the CBCT data after enhancement is close to the real imaging degradation process; at least one enhancement disturbance including gray scale shift, Gamma nonlinear transformation, compound noise, low-frequency scattering field and stripe artifact is executed on the CBCT image after preprocessing, real imaging degradation factors such as device calibration error, detector nonlinear response, electronic noise, photon statistical noise, scattering effect and reconstruction artifact can be simulated, and the adaptability and robustness of the model to different devices, scanning parameters and patient individuals are significantly improved.

The invention discloses an intraoperative organ displacement real-time sensing method based on multi-modal fusion and a related device. The method comprises the following steps: firstly, synchronously acquiring optical, electromagnetic and blood flow signal data; then magnetic field intensity characteristics of the electromagnetic data are extracted, and filtering processing based on Kalman filtering and neural network weighted fusion is selectively carried out on the electromagnetic data according to the magnetic field intensity characteristics; thirdly, according to the real-time signal quality, the historical precision and the anatomical region attribute of the target organ, confidence coefficients are dynamically distributed for the three kinds of data; and finally, performing spatial registration on the multi-modal data based on the weight, and calculating final pose data of the organ. According to the invention, through intelligent filtering and dynamic weight distribution, robustness, anti-interference capability and positioning precision of organ displacement sensing in a complex operation environment are effectively improved.

The invention belongs to the technical field of medical image analysis, and provides a multi-feature fusion endoscope image quality online evaluation method and system. The method comprises the following steps: extracting stable anatomical regions such as a gastric horn through a U-Net semantic segmentation model, completing image confidence analysis and judging a trigger confidence signal; if triggering, performing gastral cavity inflation state analysis to obtain an image stretching coefficient; positioning a target focus, and extracting morphological regularity and texture fluctuation values to construct a current morphological parameter set; and performing deformation attribution analysis to obtain a form and texture residual error value, constructing an inflation-deformation mapping model after triggering a mapping signal, and dynamically correcting a current parameter to obtain a standard form parameter set. The system comprises a credible analysis module, a state recognition module, a two-dimensional analysis module, a mapping judgment module and a model construction module. Interference of the inflation state on image lesion features is eliminated, and image quality and lesion feature accuracy are improved.

A computer-implemented method for detecting an out-of-distribution case, comprises: receiving medical imaging data including voxels and representing an anatomical region including an object set, the object set including at least one anatomical object; applying an epistemic Bayesian uncertainty model to the medical imaging data to determine an epistemic uncertainty information describing an epistemic uncertainty of assignment information describing an assignment of a respective voxel to a respective anatomical object; applying a scoring procedure to the epistemic uncertainty information to determine scoring information; and providing a warning signal if the scoring information satisfies an out-of-distribution condition.

The invention provides devices, systems and methods for tissue approximation and repair at treatment sites. The devices, systems and methods of the invention will find use in a variety of therapeutic procedures, including endovascular, minimally-invasive, and open surgical procedures, and can be used in various anatomical regions, including the abdomen, thorax, cardiovascular system, heart, intestinal tract, stomach, urinary tract, bladder, lung, and other organs, vessels, and tissues. The invention is particularly useful in those procedures requiring minimally-invasive or endovascular access to remote tissue locations, where the instruments utilized must negotiate long, narrow, and tortuous pathways to the treatment site. In addition, many of the devices and systems of the invention are adapted to be reversible and removable from the patient at any point without interference with or trauma to internal tissues.

The invention provides a method for predicting intracardiac abnormal electrophysiological distribution based on an electrocardiogram. The method comprises the steps that body surface multi-lead electrocardiogram data are obtained and preprocessed, and high-quality data fragments are obtained; constructing a lead specific multi-expert network, and extracting lead specific spatio-temporal characteristics; designing a lead weight gating module, and dynamically calculating the attention weight of each lead by adopting a multi-layer perceptron to realize sample self-adaptive lead importance evaluation; performing weighted calibration on each lead feature by using the attention weight, and inputting the reweighted features into a feature fusion and semantic enhancement network to obtain a global feature vector; end-to-end training is completed, and predicted values of the intracardiac abnormal electrophysiology distribution in all the anatomical areas are output. Through lead specific modeling and cross-lead interaction fusion, intracardiac abnormal electrophysiological distribution prediction is achieved, and a noninvasive auxiliary tool is provided for preoperative evaluation and personalized treatment scheme formulation of cardiovascular diseases such as arrhythmia.

A medical image processing apparatus includes processing circuitry to receive radiation image data for each of a plurality of different channels, wherein the radiation image data for all of the plurality of channels represents a same anatomical region of a same subject; and, for each of a plurality of positions represented in the radiation image data: estimate, based on data values for the position in each of the plurality of channels, material probabilities which indicate a respective probability of each of a plurality of materials existing at the position; and specify a value for at least one rendering parameter at the position based on the material probabilities.

Devices, systems, methods, and computer program products for performing a medical procedure are disclosed herein. In some embodiments, a system for performing a medical procedure in an anatomic region includes a medical instrument configured to be inserted within the anatomic region, the medical instrument including an image capture device. The system can also include a positional sensor associated with the medical instrument. The system can be configured to receive a model of the anatomic region. The system can obtain image data from the image capture device and a set of coordinate points from the positional sensor. The system can generate a registration between the model and the anatomic region based on the image data and the coordinate points.

Devices, systems, and techniques for analyzing video information to objectively identify patient behavior are disclosed. A system may analyze obtained video information of patient motion during a period of time to track one or more anatomical regions through a plurality of frames of the video information and calculate one or more movement parameters of the one or more anatomical regions. The system may also compare the one or more movement parameters to respective criteria for each of a plurality of predetermined patient behaviors and identify the patient behaviors that occurred during the period of time. In some examples, a device may control therapy delivery according to the identified patient behaviors and / or sensed parameters previously calibrated based on the identified patient behaviors.

Surgical planning based on a three-dimensional (3D) model includes obtaining a 3D model of an anatomical region, wherein the anatomical region includes the patient's anatomical features; identifying at least one deformity, wherein the at least one deformity is identified with respect to a target anatomical value of the patient's anatomical features, wherein the target anatomical value includes a desired range into which the anatomical measurement should fall; and using the anatomical measurement, determining at least one planar correction to be made to at least one anatomical structure of the patient. Generating a 3D model using two-dimensional (2D) imaging data may include performing anatomical context processing, which includes annotating the model, contours, edges, or surfaces of the anatomical structure, as well as performing 2D-to-3D reconstruction to optimize the orientation, placement, and scale of the 3D digital volume modeling the anatomical structure, resulting in a 3D anatomical representation of the anatomical region as a 3D model.

Histotripsy treatment involves sonicating a target region with a series of acoustic pulses, detecting ultrasonic reflected signals from the target region, controlling an ultrasonic transducer to deliver a sequence of acoustic pulses to the target region with sufficient amplitude to induce cavitation sufficient to mechanically rupture the tissue within the target region, receiving data characterizing the detected reflected signals, computationally estimating the level or location of acoustic activity or acoustic field distribution in the target region based on the data, and controlling the delivery of acoustic pulses by stopping, continuing, increasing, or decreasing the output level for acoustic pulse delivery based on multiple acoustic activity level estimates or acoustic field distribution estimates, thereby controlling tissue destruction in a target internal anatomical region.

Devices, systems, methods, and computer program products for performing medical procedures are disclosed herein. In some embodiments, a system for planning a medical procedure is configured to receive a three-dimensional (3D) model of an anatomic region of a patient. The 3D model can include a set of linked structures and at least one isolated structure spaced apart from the linked structure. The system can output a graphical representation of the linked structures and the at least one isolated structure, and can receive operator input indicating a set of locations on the graphical representation. The set of locations can represent a connection between the at least one isolated structure and the linked structures. Based on the operator input, the system can generate a bridge structure connecting the at least one isolated structure to the linked structures.

Method (3000), implemented by computer, for classifying handwriting into a plurality of membership classes C_j, each of which corresponds to a particular anatomical area Z_i of the palmar surface of a hand, said method (2000) takes, as input data (I3000), at least one handwriting D, and provides, as output data (O3000), a membership class C or a list L of membership classes C_k of the handwriting D from among the plurality of membership classes C_j.

The present invention relates to a stent for introduction into a hollow organ which can be used to provide vacuum sealing of leaks to specific anatomical regions within the hollow organ for the treatment of anastomotic insufficiency.SOLUTION: The stent comprises a radially expandable body 12 having a wall defining an internal fluid passageway 18, a fluid-tight and flexible first layer 20 covering the surface of the wall along its entire circumference and along a first predetermined area, and an elastic and porous second layer 22 covering the outer surface of the wall along its entire circumference and along a second predetermined area and at least partially covering the first layer 20. Further, the first layer 20 is disposed on the wall surface and extends radially through the wall and / or the second layer 22 is mechanically secured to the body 12.SELECTED DRAWING: Figure 1