54 results about "Free breathing" patented technology

The invention provides a CT guided liver puncture training method and system based on virtual reality, and relates to the technical field of virtual reality. A deformable liver model and a virtual CT reconstruction engine under respiration driving are constructed, needle body posture mapping and image fusion display are achieved by fusing an inertia-electromagnetic dual-mode sensor, path interaction control, tissue dynamic response and score feedback are supported, the scene difficulty is automatically adjusted based on a training result, and the accuracy and the reliability of the system are improved. Progressive puncture skill training of static breath-holding, shallow breath and free breath scenes is achieved, the sense of reality of training, operation feedback and teaching efficiency are improved, and the system is suitable for development and clinical teaching application of an interventional therapy training system under the guidance of medical images.

The invention discloses a method and equipment for predicting a tumor position under respiratory movement based on LSTM (Long Short Term Memory), and the method comprises the steps: collecting a 4DCT (4 Discrete Cosine Transform) image sequence of a tumor part of a plurality of patients under free respiration; based on the acquired 4DCT image sequence, extracting a movement track of a tumor centroid point position along with time change; sequentially inputting all tumor motion data points in each fixed time window on the motion trail into a CNN-Attention-LSTM model for offline training, wherein the CNN-Attention-LSTM model is used for predicting the tumor position at the next time; and in a radiotherapy stage, performing online real-time updating on the trained CNN-Attention-LSTM model by using the latest respiratory movement data of the current patient, and predicting the tumor position at the next time. The real-time position of the tumor is provided for the radiotherapy robot, the time delay of the whole system is compensated, and the tumor position tracking is accurately realized in real time.

The invention provides a free breathing heart fat fraction and multi-relaxation parameter simultaneous quantitative magnetic resonance imaging method, a free breathing heart fat fraction and multi-relaxation parameter simultaneous quantitative magnetic resonance imaging device, a terminal and a medium. The method comprises the following steps: scanning a plurality of imaging layers on heart tissues of a detected object in a free breathing state to obtain a double-echo image of each cardiac cycle corresponding to each imaging layer and an electrocardio trigger signal; simulating an evolution process of a magnetization vector based on a Bloch equation and an electrocardio trigger signal, and establishing a dictionary; on the basis of the double-echo image after image processing, water-fat separation operation based on mixed multi-echo is executed, and a water signal image and a fat fraction graph are obtained; and obtaining a relaxation parameter group diagram of the detected object in a mode of matching the water signal image with the dictionary. Collection is carried out when the detected object freely breathes, the burden of the detected object is relieved, and the fat fraction quantification precision and the water-fat separation accuracy are guaranteed.

A computer-implemented method of correcting motion in respiratory four-dimensional computed tomography (4DCT) images of a subject in radiation planning is provided. The method includes receiving respiratory 4DCT images, wherein the respiratory 4DCT images were acquired while a subject was free breathing. The method also includes receiving cardiac four dimensional (4D) images of the subject, wherein the cardiac 4D images were acquired while the subject was in breath hold. The method further includes deriving a cardiac motion model based on the cardiac 4D images, wherein the cardiac motion model includes frames of images of the subject, each frame corresponding to a cardiac phase in a cardiac cycle, each frame of images including motion fields at the cardiac phase. The method further includes correcting motion in the respiratory 4DCT images using the cardiac motion model, and outputting the corrected respiratory 4DCT images.

The invention relates to a CT-guided thoracic and abdominal puncture guiding method for reducing the influence of respiratory movement. The method comprises the following steps that S1, a respiratory movement curve of a target object in a free breathing state is obtained; s2, in the free breathing state of the target object, according to the breathing motion curve, controlling CT imaging equipment to scan the target tissue through breathing gating in the curve area of the target object, and obtaining a CT scanning image of the target object; s3, the CT image in the S2 is matched with the respiratory movement curve in the S1, and the marked curve serves as a reference curve of the puncture moment; s4, determining a body surface needle insertion position of the puncture target tissue according to the CT image obtained in S2; and S5, monitoring the respiratory movement of the target object during puncture, obtaining a respiratory movement curve, and when the respiratory movement curve is located at the target tissue image identification point in the reference movement curve in the S3, determining the puncture moment for the target tissue. According to the invention, the puncture accuracy can be improved.

The invention provides a magnetic resonance free respiration data extraction method based on a respiratory wave extraction algorithm, and relates to the technical field of respiration acquisition, and the method comprises the following steps: obtaining a rapid imaging sequence, and extracting a complex number sampling value of a center k space line of the rapid imaging sequence in a z direction as an initial input signal; performing z-direction IFFT interpolation processing on the initial input signal to output a high-resolution z-t signal matrix; performing time dimension signal smoothing processing on the high-resolution z-t signal matrix; performing normalization processing on the z-axis signal at each time point based on a smoothing processing result; the z-axis signals of all the channels are spliced along the longitudinal axis according to the normalization processing result to form a unified matrix; the unified matrix is subjected to standard PCA decomposition, and principal components of the unified matrix are extracted to obtain respiratory wave data; according to the method, the breathing signal waveform can be stably extracted from the MRI original k space in the free breathing state without depending on the breath holding condition, and the structure consistency and time synchronism of breathing waves are improved.

The application discloses an old person free breathing coronary artery scanning image lesion analysis system and relates to the technical field of scanning image lesion analysis. In order to solve the problem that the accurate condition of a patient cannot be obtained according to a scanning image. The application adopts a diameter method, an area method and a contrast agent filling condition to judge the stenosis degree and the hemodynamic change, analyzes the lesion from the morphological and functional double angles, provides comprehensive information for clinical decision-making, identifies the R wave peak value and divides the cardiac phase, matches the respiratory signal and the projection data in time, can accurately capture the characteristics of the heart in different motion states and the respiratory stage, effectively avoids the interference of the artifacts caused by the heart beat and the respiratory motion, makes the reconstructed image clearer and more accurate, sets the CT and the injector parameters in sequence from the scanning type confirmation, each link is closely related and the target is clear, improves the work efficiency, and is convenient for quality control and process management.

The invention provides a respiratory-gating-free free-breathing liver glycogen quantitative magnetic resonance imaging method and system, and the method comprises the steps: applying a chemical exchange saturation transfer imaging sequence to a liver region of a subject, and the imaging sequence comprises saturation pulses of a plurality of saturation frequency deviation points; a radial blade type k-space acquisition strategy is adopted to acquire magnetic resonance signal data, the radial blade type k-space acquisition strategy comprises a plurality of blades, each blade is composed of a group of parallel k-space lines, and different blades are rotationally distributed by taking the k-space center as a rotating shaft; performing image reconstruction on the acquired k space data to obtain magnetic resonance images under different saturation frequency deviations; and performing fitting analysis on the magnetic resonance image by adopting a multi-pool Lorentz model to obtain quantitative information of the liver glycogen. According to the method, the interference of respiratory movement on the CESTMRI data acquisition process can be eliminated, so that the accurate quantification of the liver glycogen in the free respiration state is realized.

The invention provides a CT imaging control method and a CT imaging control system, and relates to the technical field of medical imaging. By introducing the double X-ray sources and the two flat panel detectors and combining with the 3D optical camera to obtain breathing signals of a patient, CT imaging of the patient in a free breathing state is achieved. In the scanning process, based on real-time breathing signals, the two X-ray sources are triggered in sequence at different rotation angles for exposure, and the double-angle projection data obtained by the corresponding flat panel detectors are read. And reconstructing an organ mask image sequence from the double-angle projection data by using a pre-trained deep neural network, further analyzing the sequence to quantify the amplitude and phase of respiratory movement, distributing respiratory phase values for the projection data with different rotation angles, and classifying the respiratory phase values as gating data frames. And performing image reconstruction on each gating data frame to obtain four-dimensional CT images of different breathing phases. The problem of motion artifacts of the CT image in the free breathing state is solved, so that the image quality and the diagnosis accuracy are improved.

A method for generating computed tomography (CT) images of a subject at a predetermined breathing state includes receiving CT image data, including slice images, for a plurality of slice locations from a plurality of free-breathing CT scans. The method further includes receiving breathing surrogate data for the subject including a breathing amplitude for the CT image data associated with each slice location, and receiving a predetermined breathing amplitude. For each slice location, the method further includes determining an amplitude for each slice image associated with the slice location based on the breathing surrogate data, and selecting one of the slice images associated with the slice location by comparing the predetermined breathing amplitude and the determined slice image amplitude for each slice image associated with the slice location. The method further includes generating a CT image at the predetermined breathing amplitude based on the selected slice image for each slice location.

Presented herein is an imaging technique named nonstop gated cone-beam computer tomograph (CBCT), for guiding free-breathing respiratory gating radiotherapy of thoracic and abdominal cancer patients (e.g., lung, liver, pancreas). The nonstop gated CBCT technique reduces the data acquisition time to 1 minute and decreases the imaging dose by >40% while simultaneously retaining high quality images was developed. This is done by allowing the gantry to rotate continuously and having the kV x-ray beam on when the patient breathing signal is within the respiratory gate and the x-ray beam off when it is out of the respiratory gate. A machine learning model can be used to reconstruct high-quality CBCT images from the acquired data.

The invention discloses a complete-cycle lung function magnetic resonance imaging method which comprises the following steps: in a free breathing state of a subject, acquiring lung coronal magnetic resonance images at different time points at the same anatomical position by using a gradient echo sequence, and selecting a lung aorta region R1 and a region R2 containing lung parenchyma and liver tissue; after the average signal time sequences of the R1 and the R2 are respectively subjected to high-pass filtering to remove the influence of respiration and low-pass filtering to remove the influence of heart blood flow, fitting is carried out in a cosine function form to obtain the phase of the signal, and the average signal time sequences in the R1 and the R2 are respectively reordered as RS1 and RS2 in a heart cycle and a respiration cycle according to the sizes of phase values. According to the method, the lung image is subjected to segmentation and registration and then is reordered according to RS1 and RS2, respiration and heart cycle parameters of each local area of the lung image are calculated, lung ventilation, lung perfusion, ventilation peak reaching time and perfusion peak reaching time images are generated, the local function of the lung can be non-invasively evaluated, and the method has very high clinical value.

The invention relates to the technical field of medical data processing, and discloses an anatomical structure stability calculation processing method and a system thereof, medical image scanning is carried out on a user in a free breathing state and at different breath-holding moments, and based on all scanned medical images, the stability of the anatomical structure is calculated. Respectively calculating volume data of the left lung and the right lung in each scanning; the volume difference index is calculated according to the volume data of the left lung, the volume difference index is calculated according to the volume data of the right lung, and when the volume difference indexes of the left lung and the right lung meet a second preset condition, it is judged that the stability of the anatomical structure of the user reaches the standard. According to the method, stability evaluation is carried out through objective and quantitative lung volume difference indexes, a mode depending on subjective experience of an operator is replaced, and therefore when the DIBH technology is applied, reliable guarantee is provided for accurate and repeatable positioning of the thoracic cavity anatomical structure.

The invention discloses a high-fitting-degree front-pad-support-free breathing mask and relates to the technical field of breathing masks.The high-fitting-degree front-pad-support-free breathing mask comprises a mask body, a soft shrinkage pad is fixedly connected to the edge of the outer side wall of the mask body, a traceless pad is fixedly connected to the end, away from the mask body, of the soft shrinkage pad, and a first connecting belt is fixedly connected to the outer side wall of the mask body; a second connecting band is fixedly connected to the side, away from the first connecting band, of the mask body, and an adjusting assembly is fixedly connected to the end, away from the mask body, of the first connecting band and comprises a mounting base fixed to the outer side wall of the first connecting band. A soft contraction pad and a traceless pad which are fixedly connected with the outer side wall of the mask body are attached to the face of a user, the soft contraction pad can contract when being extruded, so that the traceless pad is tightly attached to the face of the user, a second connecting belt is contracted through an adjusting assembly, and therefore the mask body is fixed to the face of the user; therefore, the fitting degree of the mask main body is effectively improved.

The present disclosure relates to automated cardiovascular magnetic resonance imaging systems and methods that can be used to produce both cine and delayed enhancement images with minimal interaction by a clinician and minimal dependence on system hardware and clinician skill and experience. The images may be acquired during patient free-breathing and does not require a contrast agent. The resulting images be time-resolved three-dimensional images having isotropic resolution, permitting retrospective two-dimensional image reconstruction in any plane image reconstruction according to a retrospectively determined inversion time.

This utility model provides a free-breathing device for a bearing housing of an induced draft fan, relating to the field of induced draft fans. The device includes an induced draft fan and a bearing housing disposed inside the fan. A first breathing valve is provided at one end of the bearing housing. The exhaust end of the first breathing valve is connected to and passes through a connecting pipe. The connecting pipe passes through the induced draft fan and extends to the outside of the fan. The end of the connecting pipe away from the first breathing valve is connected to and passes through a storage unit for storing the fumes generated in the bearing housing. This free-breathing device for the bearing housing, by adding a first breathing valve and a connecting pipe to the bearing housing, allows fumes generated inside the bearing housing to be guided to the outside of the induced draft fan through the connecting pipe. The fumes are then post-treated by the external storage unit, thereby preventing fumes from accumulating inside the induced draft fan and reducing the risk of combustion of fumes inside the fan.

The invention provides a tracheal catheter capable of conducting airway surface anesthesia, and relates to the field of medical supplies, the tracheal catheter comprises a catheter handle, the middle of the catheter handle is fixedly connected with a penetrating tube, and the two ends of the penetrating tube are open, so that free breathing can be achieved after the penetrating tube is inserted into a trachea; the device further comprises an anesthesia tube, two sealed air bags, a gas conveying tube, an inflation connector, a visiting mechanism and a medicine spraying mechanism. The probe can play a role in visiting when the anesthesia tube extends into the trachea, display is carried out through the display screen, the penetrating tube and the anesthesia tube can conveniently extend into corresponding positions, after the positions are reached, the air supply tube can be assembled on the air inflation connector for air inflation, the sealing air bag is expanded, the gap between the anesthesia tube and the trachea is sealed, and at the moment, the pressing handle is controlled to move in a reciprocating mode; the piston is pressed, automatic resetting is achieved through elastic potential energy of the spring, and anesthetic in the medicine bottle can be sprayed out through pores in the surface of the anesthesia tube through the liquid suction tube by means of the liquid inlet one-way valve and the liquid outlet one-way valve in the reciprocating movement process.

This application provides a method, device, terminal, and medium for simultaneous quantitative magnetic resonance imaging (MRI) of cardiac fat fraction and multiple relaxation parameters during free breathing. The method includes: scanning the cardiac tissue of a subject under free breathing conditions using an established MRI sequence corresponding to the simultaneous quantification of cardiac fat fraction and multiple relaxation parameters, obtaining dual-echo images and ECG trigger signals for each cardiac cycle at each imaging level; simulating the evolution of the magnetization vector based on the Bloch equation and the ECG trigger signal, and establishing a dictionary; performing a water-fat separation operation based on mixed multi-echo imaging on the processed dual-echo images to obtain water signal images and fat fraction maps; and obtaining a set of relaxation parameter maps of the subject by matching the water signal images with the dictionary. This application acquires data during free breathing, reducing the burden on the subject while ensuring the accuracy of fat fraction quantification and water-fat separation.

The invention discloses a method and device for judging whether to apply a DIBH technology based on an intelligent generated image, and the method comprises the steps: carrying out the feature vector extraction and model training of a deformation field between free breathing and deep inspiration breath-holding state pairing images, and generating a group principal component analysis model; the method comprises the following steps: by comparing a positioning image of a patient in an individualized deep inspiration and breath-holding state, optimizing principal component feature vector weights of a model and a deformation field, enabling the deformation field to act on a computed tomography image of the patient in a free breathing state, and generating individualized sDIBH-CT; on the basis of the sDIBH-CT, the average heart dose is calculated through radiotherapy target area sketching and plan design, and the reduction value of the average heart dose relative to the free breathing state is obtained; and comparing the reduced value with a preset benefit index to finish screening whether the patient is suitable for the DIBH technology or not. According to the method and the system, the possible benefits of the patient applying the DIBH are obtained in advance, and effective auxiliary decisions are ensured to be obtained clinically.

The utility model relates to a breathable insole which comprises an insole shell, an installation cavity is formed in the upper end face of the insole shell, a filling layer made of elastic materials is embedded in the installation cavity, a plurality of elastic air cavities communicated with one another are formed in the filling layer, air holes are formed in the upper end face of the filling layer, and the air holes are communicated with part of the elastic air cavities. Due to the design of the filling layer, when a user lays the insole into a shoe to walk and falls down, the sole extrudes the filling layer, the elastic air cavity is compressed, air in the elastic air cavity is extruded out and discharged into the shoe cavity through the air holes, and the air discharged from the elastic air cavity blows the air in the shoe cavity to be discharged into the external environment; when the insole is in use, the filling layer loses external pressure, the elastic air cavity restores under the elastic action of the filling layer, air in the shoe cavity is sucked into the elastic air cavity through the air holes, air outside the shoe is supplemented into the shoe cavity, the air in the shoe cavity can be kept smooth, and therefore free breathing of the insole is achieved.

The invention discloses a PET / CT (positron emission tomography / computed tomography) respiratory movement compensation method based on Sim3 free scaling group convolution. The method comprises the following steps: firstly, performing SUV conversion, intensity normalization, isotropic resampling and lung region cutting on a fixed image and a moving image to establish a consistent input space; and then, constructing a free scaling convolution kernel acting on the Sim3 group, and simultaneously expressing scale change, rotation attitude and local displacement under a unified framework, so as to extract multi-scale features with equivariant characteristics for respiratory movement. According to the method, image similarity, scale stability constraint and SUV quantitative deviation suppression items are introduced in loss design, and system errors of functional parameters are reduced while the model is guided to be aligned in structure. The method does not need additional hardware gating, can be suitable for free breathing PET / CT, gating PET / CT and breathing motion compensation of a dynamic PET sequence, and has application value for chest tumor quantitative evaluation and mediastinal focus boundary recognition.

The invention provides a lung CT intelligent optimization and focus accurate display method based on free breathing. Relates to the technical field of medical image processing. The method comprises the following steps: acquiring a CT image of a target patient, and performing standardized preprocessing on a low-dose CT image and a standard-dose chest CT image to obtain a first preprocessed image and a second preprocessed image; performing full-automatic lung segmentation on the first preprocessed image by adopting a U-Net convolutional neural network model, and outputting a left lung region and a right lung region; and taking the second pre-processed image as a gold standard, training a deep convolutional neural network CycleGAN to obtain an image enhancement model, and performing image quality enhancement on the left and right lung regions in the first pre-processed image by using the image enhancement model to obtain an enhanced image. The chest image quality can be improved while the radiation dose of the patient is reduced.

The invention relates to the technical field of medical scanning, and provides a control method and device of a medical scanning system and the medical scanning system. The method can be used for carrying out physiological movement suppression imaging on a scanned object, a respiratory movement suppression component is placed on the surface of the scanned object, and the method comprises the steps that respiratory movement of the scanned object is monitored, and a current respiratory movement monitoring result is obtained; in response to the condition that the current respiratory movement monitoring result meets the trigger condition, controlling a respiratory movement suppression component to apply compression to the surface of the scanned object to suppress respiratory movement, and controlling the medical scanning system to execute a scanning sequence; and determining a waiting period according to the scanning sequence, and removing the compression of the respiratory movement suppression component on the surface of the scanning object in the waiting period, so that the scanning object is in a free breathing state.

The utility model relates to the technical field of nursing, in particular to a protection device for preventing a non-invasive ventilator from causing mechanical pressure injury to a nose, which comprises a base body, and a bonding layer, a buffer layer and a clamping layer which are arranged on the base body. Compared with the prior art, the protective device has the advantages that the through holes in the base body ensure that the mouth and the nose of a patient can breathe freely, the bonding layer ensures that the protective device can be tightly attached to the face of the patient, the placing stability is improved, and the air holes in the buffer layer are beneficial to keeping the skin dry and comfortable. The clamping layer is made of flexible materials, the comfort degree of the device is increased, meanwhile, the breathing mask can be clamped more stably and is not prone to sliding off, due to the design of the arc-shaped groove and the water absorption layer on the clamping layer, the stability of the breathing mask is improved, moisture generated by breathing can be absorbed, and the breathing effect is improved. And the interior of the mask is kept dry and comfortable.

The invention discloses a path planning method for a puncture robot in a lung free breathing state, which comprises the following steps: firstly, analyzing the interaction force between a flexible needle and multi-layer soft tissues of a human body in different puncture stages, and establishing a kinematics model for interaction between the flexible needle and the multi-layer soft tissues by introducing a single-wheel vehicle model; then, a needle point position prediction model is built based on the nonlinear rod model, and the actual deflection posture of the flexible needle in the body is calculated in real time through force and torque parameters obtained by a force sensor at the tail end of the puncture mechanical arm. According to the method, a curve path generated by a flexible needle and a tissue interaction model is used for replacing a linear path in a traditional rapid search tree algorithm, and meanwhile, dynamic position changes of a target spot and an obstacle in a free breathing state are considered, so that dynamic obstacle avoidance is realized, and the puncture precision of a robot is improved. And finally, a lung puncture robot experiment platform in a free breathing state is constructed, and high-precision and high-efficiency puncture robot path planning can be realized in a free breathing environment.

Embodiments of the present application disclose a kind of vascular reactivity evaluation method, device, electronic equipment and storage medium, wherein the method comprises: obtaining the first magnetic susceptibility weighted imaging of brain region of target object in free breathing state and the second magnetic susceptibility weighted imaging in breath-holding state;Determine the vascular distribution map of brain region;According to the first magnetic susceptibility weighted imaging and vascular distribution map, determine the first oxygen uptake fraction of target blood vessel in free breathing state;According to the second magnetic susceptibility weighted imaging and vascular distribution map, determine the second oxygen uptake fraction of target blood vessel in breath-holding state;According to the first oxygen uptake fraction and the second oxygen uptake fraction of target blood vessel, determine the evaluation index of vascular reactivity of target blood vessel, and evaluate the vascular reactivity of target blood vessel based on evaluation index.It can achieve the effect of simply, quickly and accurately evaluating vascular reactivity through oxygen uptake fraction in free breathing state and breath-holding state.

The invention features a prospective respiratory motion compensation technique for cardiovascular magnetic resonance imaging of the whole-heart of a free-breathing subject.

The invention relates to the technical field of medical image diagnosis, in particular to a black blood T2 weighted fast spin echo imaging method and system under a free breathing condition. According to the black blood imaging method based on reverse dual inversion recovery (RDIR) and single excitation fast spin echo (SS-FSE), artificial intelligence assisted compressed sensing (ACS) is introduced to improve the reconstruction quality. The slice selective reversal pulse is moved forward to the previous cardiac cycle, so that myocardial signal loss is effectively reduced; scanning time can be remarkably shortened and motion artifacts can be reduced by adopting single excitation. And in combination with the ACS, a high-resolution T2 weighted black blood image can be obtained under high and under-sampling conditions, and the method is particularly suitable for edema evaluation of children under free breathing.

The embodiment of the invention discloses a liver elasticity detection method and device in magnetic resonance imaging and a magnetic resonance imaging system. The method comprises the steps that a single MR sequence is adopted to conduct multiple times of scanning on a coronal plane of the liver, MR images of multiple phases of the liver are obtained, the total scanning duration of the multiple times of scanning is larger than one complete respiratory movement duration, and the coronal plane is the coronal plane containing the maximum contour of the liver; wherein in the whole scanning period, respiration of the user corresponding to the liver is free respiration; according to the MR images of the multiple phases of the liver, displacement of the liver in the head and foot direction in the whole scanning process is determined, and the change value of the size of the liver in the head and foot direction or the left-right direction in the whole scanning process is determined; according to the displacement of the liver in the head and foot direction in the whole scanning process and the change value of the size of the liver in the head and foot direction or the left-right direction in the whole scanning process, the elasticity coefficient of the liver is determined. According to the embodiment of the invention, the accuracy of liver elasticity detection is improved.