55 results about "Intracranial Hemorrhages" patented technology

An ultrasound catheter with fluid delivery lumens, fluid evacuation lumens and a light source is used for the treatment of intracerebral hemorrhages. After the catheter is inserted into a blood clot in the brain, a lytic drug can be delivered to the blood clot via the fluid delivery lumens while applying ultrasonic energy to the treatment site. As the blood clot is dissolved, the liquefied blood clot can be removed by evacuation through the fluid evacuation lumens.

Methods and compositions are provided for the treatment of a patient with intracranial hemorrhage (ICH). Methods include the use of the products of recombinant constructs such as those that contain lactoferrin, as well as fusion protein constructs of lactoferrin and Fc domain for IgG.

An ultrasound catheter with a lumen for fluid delivery and fluid evacuation, and an ultrasound source is used for the treatment of intracerebral or intraventricular hemorrhages. After the catheter is inserted into a blood clot, a lytic drug can be delivered to the blood clot via the lumen while applying ultrasonic energy to the treatment site. As the blood clot is dissolved, the liquefied blood clot can be removed by evacuation through the lumen.

Implants and methods used for the treatment of aneurysms are disclosed. More particularly, embodiments of an implant having a modular pattern are disclosed for the treatment of cerebral aneurysms to prevent intracranial hemorrhage and aneurysm rupture.

An ultrasound catheter with fluid delivery lumens, fluid evacuation lumens and a light source is used for the treatment of intracerebral hemorrhages. After the catheter is inserted into a blood clot in the brain, a lytic drug can be delivered to the blood clot via the fluid delivery lumens while applying ultrasonic energy to the treatment site. As the blood clot is dissolved, the liquefied blood clot can be removed by evacuation through the fluid evacuation lumens.

The invention discloses an intracranial hemorrhage area segmentation method based on three-dimensional super voxel and a system thereof. The intracranial hemorrhage area segmentation method is characterized in that a CT image pre-processing phase and an intracranial hemorrhage area segmentation phase based on the three-dimensional super voxel can be provided; according to the CT image pre-processing phase, the format conversion of the two-dimensional CT image sequence can be carried out, the skull structure can be extracted, and the intracranial area can be found; according to the intracranial hemorrhage area segmentation phase, the two-dimensional local CT image can be reconstructed on the three-dimensional space, and the three-dimensional image can be divided into the super voxels having the similar sizes by adopting the super voxel algorithm, and the super voxels can be divided into the foreground part and the background part by adopting the graph cut algorithm. The intracranial structure can be extracted by adopting the pre-processing, and the segmentation can be refined step by step, and the super voxels can be used for the calculation by replacing the pixels, and then the hemorrhage area detection accuracy can be effectively improved. The method and the system provided by the invention are advantageous in that the hemorrhage areas having different reasons, different positions, and different sizes can be effectively detected, and the important function can be provided for the computer-aided medical application in the clinic.

The invention discloses a bullet-shaped cerebral porous drainage tube and a cerebral drainage device adopting same, which comprises a bullet-shaped cerebral porous drainage tube, an input catheter, ametering reservoir, an output catheter, a liquid storage drainage bag and the like. The bullet-shaped cerebral porous drainage tube comprises a a tube body, the front end of the tube body is a dead end and the rear end thereof is a tube joint which is opened, the front end of the tube body is opened with at least two side holes, and the dead end is a bullet-shaped dead end. The invention has reasonable structure, the bullet-shaped dead end design of the drainage tube can reduce the damage to the brain tissue during the puncturing process, and has slippage effect, can slip to pass during the puncturing process if touching the blood vessel or nerves, thereby, the damage to the blood vessel and the nerves are prevented and avoided during the puncturing process, and intracranial hemorrhage, hematoma, aphasia, paralysis, neural paralysis and various complications can be reduced during the puncturing process.

The invention discloses an intracranial hemorrhage early-stage hematoma minimally invasive elimination system, comprising a puncture catheter system and a hematoma ultrasonic crushing mechanism, wherein the puncture catheter system comprises a puncture catheter body and a puncture needle core which is movably sleeved inside the puncture catheter body; an internal diameter of the puncture catheter body is 4-5 mm; a suction branch pipe is arranged at the position of the puncture catheter body, which is close to the tail end of the puncture catheter body; a sealing cover is mounted on the pipe opening of the suction branch pipe; the front end of the puncture needle core is bullet-shaped, and extends out the front end of the catheter body; the hematoma ultrasonic crushing mechanism comprises an ultrasonic crushing vibrator and an ultrasonic vibration rod connected with the ultrasonic crushing vibrator; the ultrasonic vibration rod is more than the puncture catheter body in length; and a thread is arranged at the front part of the ultrasonic vibration rod. The intracranial hemorrhage early-stage hematoma minimally invasive elimination system provided by the invention is simple in structure; and the puncture catheter body can conveniently puncture a catheter into a cranium, and is difficult to block. Compared with the conventional puncture catheter, the intracranial hemorrhage early-stage hematoma minimally invasive elimination system can more easily and naturally lead hematoma, so that the damage and the haemorrhage on brain tissues by the conventional mechanical crushing can be avoided.

The invention discloses a fetal head aspirator, and mainly relates to the field of obstetric apparatuses. The fetal head aspirator comprises a metal conical cylinder, the wide end of the conical cylinder is provided with multiple steel wire keels in arc fixed shapes, the inner sides of the top ends of the steel wire keels are provided with silica gel beads connected with the steel wire keels in a rolling mode, the outer sides of the steel wire keels are covered with negative pressure covers, the top sides of the negative pressure covers are provided with sealing edges, the top sides of the sealing edges bend inward, the negative pressure covers and the sealing edges are silica gel film which is formed integrally, the narrow end of the conical cylinder is provided with a connecting cylinder, the inner wall of the connecting cylinder is provided with an inner valve cavity provided with a one-way air valve, the outer wall of the connecting cylinder is provided with an air pumping nozzle used for pumping air and introducing air, and the air pumping nozzle is communicated with the inner valve cavity. The fetal head aspirator has the advantages of remarkably lowering the size of arching of afterbirth, remarkably solving the problems of fetal head scalp blister, bruises, lacerations, hematoma under the skin and under the periosteum, intracranial hemorrhage and the like, effectively assisting in delivery and childbirth, and protecting the health of fetuses.

The invention provides an intracranial hemorrhage CT image segmentation method based on deep learning. The intracranial hemorrhage CT image segmentation method comprises the steps of obtaining an intracranial hemorrhage CT image; preprocessing the intracranial hemorrhage CT image, and taking part of the preprocessed intracranial hemorrhage CT image as a training sample; training the deep convolutional neural network by using the training sample to obtain a trained deep convolutional neural network; and inputting the preprocessed intracranial hemorrhage CT image into the trained deep convolutional neural network for image segmentation, outputting the segmented intracranial hemorrhage CT image, and displaying a hemorrhage region segmentation result of the intracranial hemorrhage CT image through a GUI interface. The high-level features of the image are automatically extracted by means of the deep convolutional neural network, and the bleeding area is segmented, so that the problem of data imbalance caused by overlarge difference of the bleeding area is effectively solved, and high-precision segmentation is realized.

The invention relates to an intracranial hemorrhage detection model with optimized and enhanced window adjustment and a construction method of the intracranial hemorrhage detection model. The invention provides an intracranial hemorrhage detection model on one hand. The intracranial hemorrhage detection model comprises a window adjustment optimization enhancement module and a RetinaNet network. The window adjustment optimization enhancement module is constructed by a 1 * 1 convolution layer and a window activation function layer. The network comprises a basic feature extraction network, an FPNfeature pyramid and a classification and regression sub-network. On the other hand, the invention also provides a construction method of the intracranial hemorrhage detection model with optimized andenhanced window adjustment. The construction method comprises the following steps: step 1, preparing a craniocerebral CT examination data set and carrying out data preprocessing; step 2, constructingan intracranial hemorrhage detection model; step 3, training an intracranial hemorrhage detection model; and step 4, verifying the intracranial hemorrhage detection model. According to the invention,the contrast between a bleeding area and a normal tissue is enhanced through the window adjustment optimization module, and the accuracy of model detection is greatly improved by combining the feature extraction of ResNet and the setting of a network.

An ultrasound catheter with a lumen for fluid delivery and / or fluid evacuation, and ultrasound radiating elements is used for the delivery of therapeutic compounds to a target location. After the catheter is inserted into a cavity, a therapeutic compound can be delivered to the target location via selective activation of the ultrasound radiating elements. Selective activation of the ultrasound radiating elements can be used to cause fluid flow in a direction proximal and / or distal the catheter. Moreover, selective activating can be used to maintain fluid between certain of the ultrasound radiating elements.

The invention provides an intracranial hemorrhage transformation model after acute cerebral ischemia mechanical recanalization and a microRNA screening method and application thereof. The intracranialhemorrhage transformation model after acute cerebral ischemia mechanical recanalization is established by using a hyperglycemia combined suture-occluded method MCA for occlusion for 5 hours and thenrecanalization for 19 hours. The intracranial hemorrhage transformation model has 33 microRNAs expressions with significant difference. A new method for the study of intracranial hemorrhage transformation after acute cerebral ischemia mechanical recanalization, and an innovative means for the diagnosis and treatment of reperfusion injury after endovascular interventional recanalization in acute ischemic stroke is provided.

The invention provides an intracranial pressure sensor, which comprises a pressure-sensitive capacitor, a first electrode layer and a second electrode layer, a flexible covering layer, and a fixed inductor, wherein a capacitance value of the pressure-sensitive capacitor varies along with change in intracranial pressure; the pressure-sensitive capacitor comprises a pressure-sensitive layer, and a deformation amount of the pressure-sensitive layer varies along with the change in the intracranial pressure; the first electrode layer and the second electrode layer are formed at two sides of the pressure-sensitive layer, so that a capacitance structure is defined, and a distance between the first electrode layer and the second electrode layer varies along with change in the deformation amount ofthe pressure-sensitive layer; the flexible covering layer covers the outer sides of the pressure-sensitive layer, the first electrode layer and the second electrode layer and is attached between a skull and a dura mater; an LC oscillating circuit is defined by the fixed inductor and the pressure-sensitive capacitor; the fixed inductor is implanted into the skull and is used for converting a capacitance signal into a resonance frequency signal; and the fixed inductor is coupled to external detection equipment and is used for acquiring an intracranial pressure value. A sensor capacitance part which is implanted into the skull is made from a flexible material, so that minimal injury is caused to intracranial tissues, and a risk of such complications as intracranial hemorrhage and the like isreduced to the greatest extent; and the flexible material can get attached to the mater easily, so that more precise measurement is guaranteed.

The invention aims at solving the problems that an intracranial hemorrhage area is not clear in structure, artifacts exist, and other brain tissue and other noise cause great influences on a segmentation task. In order to improve the performance of intracranial hemorrhage segmentation, an intracranial hemorrhage segmentation method fusing dense connection and attention mechanisms is provided. Intensive connection blocks are introduced into an encoder part of a full convolutional network for intracranial hemorrhage feature extraction, but not all features extracted from an encoder can be used for segmentation, so that an attention mechanism fusing space and channel attention is fused into a network architecture, intracranial hemorrhage features are weighted in terms of space and channel, rich context relations are captured, and more accurate features are obtained. In addition, a Focal Tversky loss function is adopted to process segmentation of small-area intracranial hemorrhage. The segmentation performance is effectively improved, and accurate and rapid segmentation can be realized.

The invention discloses an intracranial hemorrhage detection algorithm applied to a CT image based on a CNN and an NLSTM neural network, and belongs to the field of intelligent medical image processing. A CNN neural network is used to extract picture features of the CT image. Before the CNN features are extracted, the CNN neural network is also trained, and the pre-trained CNN network used in themethod is ResNeXt. The extracted embeding of the image is combined with the sequence information of the patient to serve as the input of the NLSTM neural network, a loss back propagation network is calculated through a cross entropy loss function, and a network structure for testing is finally obtained. The mode of combining the CNN and the RNN neural network is very suitable for processing CT sequence images, and the CNN and the NLSM are novel intracranial hemorrhage detection and classification methods. The intracranial hemorrhage detection algorithm based on the combination of the CNN and the NLSTM is an accurate and efficient automatic hemorrhage detection and classification algorithm, has an extremely important value for clinic, and has a wide application scene.

The invention relates to an establishment of a conversion model of the intracranial hemorrhage of a dog after autologous thrombus embolic infarction thrombolysis by using an intervention method and anapplication thereof. The method comprises the following steps of: preparation of thrombus, preparation of a cerebral infarction model, thrombolysis and determination of hemorrhage result. The dog hemorrhage conversion model has the advantages that: first, the cerebral structure of a beagle is similar to that of a human being, the variation of the cerebral vascular diameter is small, compared withsmall animals, such as a mouse and the like, the related experimental result can achieve better clinical conversion. Second, in small animal experiments, a laser Doppler blood flow meter is used to monitor the changes of cerebral blood flow, thus judging the occlusion and recanalization of blood vessels. DSA is a gold standard for judging whether the blood flow is smooth or not, the injection ofthe thrombus can be guided, accurate embolism can be carried out, and direct evidence for judging whether the thrombolysis is valid or not is provided. Thirdly, an intervention procedure is used as aminimally invasive technique, other unnecessary operation damage can be reduced to the utmost extent, so that the accuracy and reliability of the experimental result can be improved.

The invention relates to a brain image segmentation method and device, computer equipment and a readable storage medium. The method comprises the steps that a brain CT image is acquired, wherein the brain CT image comprises adjacent multi-layer sectional images; the brain CT image is input into a preset segmentation model to obtain an intracranial hemorrhage segmentation result corresponding to the brain CT image, wherein the segmentation model is obtained by training according to the sample image, a segmentation gold standard and a classification gold standard, and the classification gold standard is used for representing a bleeding subtype of intracranial bleeding in the sample image. According to the method, the classification loss is used for guiding the segmentation model to carry outtraining, so that the precision of the segmentation model obtained by training can be greatly improved, and the precision of a brain CT image segmentation result is further improved. Meanwhile, the brain CT image is an adjacent multi-layer sectional image, so that the context information among all layers of images can be fully considered, and the precision of the obtained brain CT image segmentation result is further improved.

The invention belongs to the medical instrument technical field, and specifically relates to an Intracranial hemorrhage blood clot locating system and method based on CT images; the system comprises aCT inspection bed, a brain stereotaxic apparatus and an intelligent terminal; the CT inspection bed and the brain stereotaxic apparatus respectively communicate with the intelligent terminal; the CTinspection bed is used for scanning the brain, and sending the scanned CT image data to the intelligent terminal; the intelligent terminal analyzes the CT image data so as to obtain blood clot coordinates, and controls the brain stereotaxic apparatus to accurately locate and puncture and remove the blood clot according to the blood clot coordinates. The system analyzes the CT image data so as to obtain the blood clot coordinates, and controls the brain stereotaxic apparatus to accurately locate and puncture and remove the blood clot according to the blood clot coordinates, thus improving the treatment efficiency, and obtaining a better treatment effect.

The invention discloses a stereotactic operation surface incision indicator and an application method thereof in craniotomy. The indicator comprises a transparent matrix, a developing line and an adhesive layer, wherein the developing line is arranged in the transparent matrix; and the adhesive layer is arranged below the transparent matrix. The application method comprises the following steps: (1) sticking the stereotactic operation surface incision indicator to a fixed position on the scalp surface of a patient; (2) performing continuous scanning of skull CT on a patient wearing the indicator, so that a three-dimensional reconstructed indicator image can be seen on an operation planning system; and (3) determining an entry point of a puncture needle on real scalp of the patient according to different positions of the puncture needle of the operation planning system on the indicator. According to the stereotactic operation surface incision indicator disclosed by the invention, the scalp position corresponding to the cortical puncture point can be accurately positioned when a stereotactic operation is performed by a neurosurgeon, and intracranial hemorrhage and inaccurate target positions caused by operation errors can be reduced.

The invention relates to an intracranial hemorrhage parameter acquisition method and device based on self-supervised learning and M-Net. Comprising the steps of obtaining brain CT sequence images, and preprocessing the brain CT sequence images, where the preprocessed brain CT sequence images at least comprise brain CT marked images and brain CT unmarked images, and the brain CT marked images are used for marking intracranial hemorrhage areas; inputting the brain CT unmarked image into a self-supervised learning network model for pre-training to obtain a first model; modifying model parameters of the first model based on the brain CT marker image data to obtain a second model; inputting the to-be-tested brain CT image into the second model, obtaining an intracranial hemorrhage area segmentation image, obtaining hemorrhage parameters of the to-be-tested brain CT image based on the segmentation image, where the hemorrhage parameters comprise a hemorrhage area and a hemorrhage area. According to the invention, a method of combining self-supervised learning and deep learning is adopted, and rapid identification of cerebral hemorrhage features and accurate calculation of the hemorrhage area are realized.

The invention discloses an MU-Net-based intracranial hemorrhage focus segmentation algorithm applied to a CT image, and the algorithm proposes a new segmentation structure MU-Net on the basis of a U-Net, and applies the new segmentation structure MU-Net to an intracranial hemorrhage segmentation task. In the encoder module, a network module of Res2Net is introduced. By means of the design, finer multi-scale features can be extracted, and the receptive field of the feature map is increased. In order to reduce semantic gaps existing between corresponding layers of a coding layer and a decoding layer, a multi-coding information fusion module (MIF) is provided, and global information lost by a decoder is effectively made up by performing information fusion on features. In addition, in order to further reduce semantic gaps between encoders and decoders and gather multi-scale information, the invention provides a new decoder module (MDB).

The invention discloses a newborn bird nest for preventing respiratory arrest and a use method, and relates to the technical field of medical equipment. The newborn bird nest comprises a shell and a bottom plate, wherein the bottom plate is installed on the upper end face of the shell, a soft cushion is fixedly connected to the upper surface of the bottom plate, and a flange is arranged on the peripheral side face of the soft cushion. By using an induction sticker, a hand touch display screen, a motor, a first connecting rod, a second connecting rod, a disc and a sliding base assembly, the problem that a nurse cannot know the illness state change of a child patient in time due to busy clinical work is solved; and by using a storage battery, the function of ultra-long standby is achieved; by setting multiple levels of parameters, the nurse presets frequency parameters according to the weight of the child patient after the child patient is hospitalized, so that the situation that the stimulation effect is affected due to the fact that the vibration frequency is too small or the intracranial hemorrhage risk of the child patient is increased due to the fact that the vibration frequency is too large is avoided, and meanwhile the problem that ecchymosis occurs on the sole of the child patient due to the fact that the stimulation intensity is too large is solved.

The invention relates to an intracranial hemorrhage area three-dimensional segmentation method based on local entropy and a level set algorithm, and belongs to the technical field of image processing.The method comprises the following steps: S1, inputting multiple frames of MRI images; s2, initializing a level set function, and setting a parameter penalty term coefficient and the size of a Gaussian kernel function; s3, calculating a local entropy and an adaptive length term coefficient, and iteratively calculating a mean value of global and local terms according to a derivation formula; s4, using the calculated local entropy as an adaptive weight model to adjust the weights of the global item and the local item, and using the calculated adaptive length item coefficient to change the curved surface evolution speed; and S5, evolving the level set function by using a gradient descent method, and performing three-dimensional segmentation on the image. Compared with a traditional image segmentation method, the method is easy to implement, and does not need to spend a lot of time in extracting image features and adjusting system parameters; and three-dimensional segmentation of multipleframes of intracranial hemorrhage MRI images is also ensured.

The invention discloses an infant intracranial hemorrhage fixing and guiding drainage device and preparation and use methods. A main body is a shell with the same shape as the head of a child patient, the shell is mounted on a fine adjustment device, and the fine adjustment device is flatly placed on a sickbed of the child patient. By adopting the device, the puncture accuracy is improved, the technical defects that blind puncture cannot be performed in place and repeated puncture can increase brain injury of a child patient are overcome, the guide plate which is designed by performing three-dimensional positioning by utilizing CT data of the child patient can perfectly avoid relatively important brain function areas and structures according to the requirements of doctors, and a puncture needle is perfectly guided to a drainage part according to the angle of a guide plate needle passage. By means of the fixed shell and the adjustable body position fixator which are designed according to CT data of a child patient, the head of the child patient can be very suitably fixed in the shell, and the body position of the child patient can be kept at an ideal drainage body position designed by a doctor by adjusting the angle of the body position fixator. And the drainage tube is prevented from falling off and the body position is not fixed due to unconscious activities of the patient.

The invention relates to the technical field of medical auxiliary instruments, and particularly discloses an integrated premature infant body position auxiliary instrument. The integrated premature infant body position auxiliary instrument can be used for premature infants in neonatal wards or neonatal care rooms during hospitalization, and is a suitable tool provided for body position intervention of clinical nursing personnel; and the scope of developmental care of the premature infants is expanded. The integrated premature infant body position auxiliary instrument is particularly suitable for the premature infants during hospitalization, and the integrated component structure is beneficial for the premature infants to maintain flexion similar to intrauterine physiological flexion and support movement; apnea caused by bad body positions is avoided, and the risks of intracranial hemorrhage, gastroesophageal reflux and the like are reduced; and therefore, self-coordination and nerve development after birth are promoted.

An integrated clot evacuation device having visualization for use in neurosurgical applications, particularly for the evacuation of clots formed as a result of intracranial hemorrhage (ICH). The device may further include an integrated camera and light for visualizing the interior of the brain and the clot itself. Further, the device is configured to evacuate clots through aspiration and irrigation.

The present invention relates to nitric oxide releasing compounds and their use in the prevention, amelioration and / or therapy of nitric oxide (NO) deficiency induced disturbances of the cerebral microcirculation. The NO deficiency induced disturbances of the cerebral microcirculation may be due to an intracranial hemorrhage or stroke and can cause cerebrovascular spasms (or cerebral vasospasms) (CVS) and / or malperfusion of brain parenchyma caused by blood vessel and blood flow dysregulation which, in turn, can cause secondary neurological deficiencies (DIND) and / or brain infarction. Particularly, the present invention relates to the prevention, amelioration and / or therapy of delayed cerebral vasospasm-associated disorders after survived subarachnoidal hemorrhage by applying a NO-donor, most preferably Molsidomine.

The invention discloses a method for segmenting bleeding areas in brain CT images based on semi-supervised learning. The method includes a semi-supervised model training stage and a semi-supervised model-based bleeding area segmentation stage; the semi-supervised model training stage is used to train semi-supervised model; the bleeding area segmentation stage based on the semi-supervised model includes format conversion of the two-dimensional CT image sequence that needs to be segmented into the intracranial hemorrhage area, reconstructing the two-dimensional CT image into a three-dimensional space, and then using the supervoxel algorithm to divide the three-dimensional image into For supervoxels of similar size, features are extracted from each supervoxel as a sample, and finally the supervoxels are divided into foreground and background parts through a trained semi-supervised model based on the features. The present invention effectively improves the accuracy of bleeding area detection by introducing a semi-supervised learning algorithm and using supervoxels instead of pixels for calculation.

The invention discloses a portable human body closed injury electrical impedance tomography detecting equipment adopting modular design, and is suitable for human body closed injury electrical impedance detection. The portable human body closed injury electrical impedance tomography detecting equipment comprises embedded electrical impedance tomography equipment, a belly internal haemorrhage detection sensor module, an intracranial hemorrhage detection sensor module and a fracture detection sensor module, wherein the embedded electrical impedance tomography equipment is disengaged from a computer host machine terminal, human body closed injury electrical impedance tomography detection is realized at an embedded terminal, and an end detection sensor module (such as abdominal cavity internalhaemorrhage, intracranial hemorrhage and closed fracture) for different parts of human body closed injury can be correspondingly designed. The modular design is used for different application scenesthrough a replacement sensor module, so as to obtain the best detection results. The modules can be in hot plugging, and have high flexibility and accessibility, and repair and maintenance are convenient. The problem of detecting human body closed injured parts can be solved potentially, and the diagnosing rate and treatment and curing efficiency for closed injury wounded personnel of Chinese armycan be greatly improved.