182 results about "Spatial registration" patented technology

A method and system for monitoring loading of radiation into an insertion device for use in a radiation therapy treatment to determine whether the treatment will be in agreement with a radiation therapy plan. In a preferred embodiment, optical sensors and radiation sensors are used to monitor loading of radioactive seeds and spacers into a needle as part of a prostate brachytherapy treatment.

Techniques for registration of multiple measurement modes of a body include receiving first and second data from different modes. Each includes measured values with coordinate values. For two mechanically aligned modes, any nonrigid registration is performed. For some modes, the nonrigid registration includes a coarse transformation and multiple fine scale transformations. The coarse transformation maximizes a coarse similarity measure. The second data is subdivided into contiguous subregions. Fine transformations are determined between the subregions and corresponding portions of the first data to maximize a fine similarity measure. Subdividing and determining fine transformations repeats until stop conditions are satisfied. Transformations between the last divided subregions are interpolated. Any of the fine similarity measure, a search region, interpolation method, sub-division location, and the use of rigid or non-rigid fine transformations are adaptive to properties of the first or second data so that the registration is automatic without human intervention.

A navigation system for intracerebral hemorrhage puncture surgery based on medical image model reconstruction and localization is disclosed in the embodiment of the invention, Positioned navigation system for intracerebral hemorrhage puncture surgery, including hosts, AR device and naked-eye 3D display device, The host computer receives the medical CT/MRI data of patients with intracerebral hemorrhage, reconstructs the model of multi-group patients with intracerebral hemorrhage, processes the model butt joint, obtains the three-dimensional virtual model of patients' skull and hematoma, and displays the three-dimensional virtual model on the naked eye 3D display device. The host computer receives the medical CT/MRI data of patients with intracerebral hemorrhage. According to the 3D virtualmodel and the angle depth information, the host computer simulates the operation navigation and connection to import the AR device. AR devices are used for feature point detection, spatial registration between virtual hematoma and real hematoma, real-time catheter tracking, holographic display of virtual hematoma and virtual catheter, voice and somatosensory interaction with physicians. The embodiment of the invention can reduce medical cost and provide human-computer interaction function.

The invention discloses a multistage decision fusing and classifying method for hyperspectrum and infrared data. The multistage decision fusing and classifying method comprises the following steps of: firstly, carrying out noise suppression processing and spatial adjustment on the hyperspectrum and infrared data; secondly, establishing a hyperspectrum and infrared data combined characteristic space according to the characteristics of the hyperspectrum and infrared data; thirdly, monitoring and classifying the combined characteristic space established in the second step to obtain a ground object classification decision according to the ground object categories to be classified and a training sample; fourthly, determining ground object classes required to be subjected to small-object strengthening decision extraction according to the object size and carrying out small-object strengthening decision extraction by using the combined characteristic space established in the second step; fifthly, carrying out end member extraction and abundance estimation on hyperspectrum data subjected to noise suppression in the first step to obtain an abundance decision; and sixthly, designing a fusingrule and fusing the classification decision acquired in the third step, the small-object strengthening decision acquired in the fourth step and the abundance decision acquired in the fifth step to obtain a fusion and classifying result.

A method for spatial registration and spectral correction for interferometer based spectral imaging which can be used to obtain spectral images of a moving object, the method comprising the steps of (a) using an interferometer based spectral imager for acquiring spatial and spectral information of the moving object; and (b) correcting the spatial and spectral information for movements of the moving object via a spatial registration and spectral correction procedures for obtaining corrected spatial and spectral information.

The invention discloses a real-time puncture navigation system, which comprises a puncture needle; a host computer to display puncture navigation space of a multimodal image based on the fusion of a magnetic resonance image prior to a surgery and an ultrasonic image during the surgery; an ultrasonic detecting device comprising an ultrasonic probe and an ultrasonic imaging apparatus wherein the ultrasonic probe sends acquired ultrasonic data to the ultrasonic imaging apparatus for processing and outputs the ultrasonic image during the surgery for display and transmission to the host computer; a space registering device comprising a magnetic locator and a calibration body die wherein the magnetic locator receiver is fixedly arranged on the ultrasonic probe through a probe fixture, the calibration body die calibrates the corresponding positions of the magnetic locator receiver and the ultrasonic image plane during the surgery and the magnetic locator receiver acquires the space position of the ultrasonic probe so as to further obtain the space position of the ultrasonic image plane during the surgery; and reality augmented glasses in connection with the host machine and the puncture needle. According to the invention, no special ultrasonic probe and imaging apparatus are needed, making the system not limited to specific puncture parts, and achieving convenient and high puncture navigation.

The invention discloses an interventional planning navigation system based on CT- MRI fusion and a navigation method thereof. The system comprises: a preoperative planning module that segments a prostate region and an urethra from a MRI image, marks a suspicious lesion region, and then constructs a three-dimensional structure, and finally plans an optimal puncture path; a spatial positioning module that is used to complete spatial registration of a CT image and the MRI image of a patient and obtains a transformation matrix from magnetic locator space and a CT image space; a puncture guiding module that is used to obtain a position and a posture of a puncture needle, so as to guide travel of the puncture needle. The interventional planning navigation system of the invention facilitates to locate a suspicious lesion without changing CT guidance by combining imaging advantages of the CT and the MRI, thereby specifying a target area of diagnosis and treatment, and improving accuracy of prostate interventional surgery; and fully combines multimodal medical image information, a spatial positioning technology and a three-dimensional visualization technology to make guidance to operation more intuitive and to improve convenience of prostate interventional surgery.

The invention relates to a road gradient detection method in the technical field of road design engineering. The road gradient detection method comprises the following steps of: acquiring a contour map and a roading map of a region to be detected; scanning and carrying out space registering to acquire a contour grid scattergram and a roading grid scattergram; digitally processing to acquire a roading vector scattergram and a roading vector scattergram and carrying out irregular triangular network conversion processing to acquire a contour irregular triangular network; extracting all nodes to acquire an elevation scattergraph and carrying out spatial interpolation to acquire an elevation scattergram; extracting and adding road elevation information into the roading vector scattergram and expanding and smoothing an average value to acquire an expanded road elevation scattergram; and extracting the elevation differences and the level distances of grids to acquire the gradient information of each road. The invention has high accuracy, strong practicability, simplicity, easy leaning, short time and avoidance of human factor influence.

Embodiments disclosed herein relate to a therapeutic ultrasound device spatial registration method and apparatus. The method enables locating a tissue target and surrounding tissue structures affecting the available acoustic beam paths to the target, relative to each individual therapeutic and diagnostic (e.g., imaging) transducer, in a device comprising a plurality of such transducers. By locating the target and tissue structures relative to each therapeutic transducer and/or array (e.g., in “local” coordinates) assists in transforming the locations relative to any transducers, enabling determination of which therapeutic transducers to use to treat the target, and specification of their respective ultrasound powers or energy, focal locations and beam patterns. The registration method employs a plurality of emitter and receiver acoustic sensors on, respectively, a plurality of imaging and therapeutic transducer device panels.

The invention provides a shipborne water bank line overwater and underwater integrated measurement system integrated method; integration of hardware of a measurement system is realized through design of a multi-sensor lift platform of an integrated mapping device, and requirements of changing sensor upper and lower positions under different operating conditions of a measurement ship are met. The system designs a data acquisition display control software framework to realize multi-sensor collaborative data acquisition, point cloud real-time display and the like. Through point cloud data preprocessing, data interpolation, spatial registration and other steps, multi-source data are subjected to fusion and resolution, so as to obtain a point cloud product for solving problems of difficult-and-inappropriate-to-reach island topographic measurement and marine unit coastal zone and mud flat topographic survey. The method realizes water bank line overwater and underwater integrated measurement, overcomes limitation of a traditional measurement technology, greatly improves the efficiency of measurement, and provides a bran-new measuring technological means for high-precision three-dimensional measurement problems required by wisdom navigation channels, digital water conservancy, wharfs, bank lines, off-lying sea islands and various engineering construction.

The invention discloses a multiband fusion detection method based on an unmanned platform. An infrared image sequence and a visible light image sequence obtained on the unmanned platform are subjected to spatial registration, then, the registered infrared image sequence and visible light image sequence can be preprocessed, the preprocessed infrared image sequence and visible light image sequence can be subjected to image fusion, and finally, the fused image sequence is subjected to dim small multi-target detection processing to output the state data and the number information of a target. An infrared and optical image fusion technology is adopted to realize the accurate detection of the target. The defects that the unmanned platform is poor in imaging quality and a single infrared detector is low in resolution and is not favorable for accurately identifying the target are solved. In addition, an algorithm is superior to a traditional target detection algorithm, can more easily detect and identify the target, can provide an accurate target instruction for a defensive system and a confrontation system, and can be widely applied to various types of complex-background accurate detection systems of dim small targets.

A method for verifying a spatial registration of an anatomical region is provided. The method may track a spatial pose of at least one checkpoint defined within the anatomical region, track a spatial pose of a probe tip in proximity to the anatomical region at the checkpoint, map a spatial proximity between the probe tip and the anatomical region onto a visual representation of the anatomical region based on the tracked spatial poses, quantify a deviation between the mapped spatial proximity and an actual spatial proximity in response to a verification request where the verification request is initiated by a user and indicative of the actual spatial proximity between the probe tip and the anatomical region, and generate a graphical index indicative of a degree of accuracy of the spatial registration of the anatomical region based on the quantified deviation.

The invention relates to the field of control center data processing and especially relates to a method for integration processing of comprehensive track data. The method aims to solve the technical problem that the invention discloses a method for the integration processing of the comprehensive track data aiming at problems existing in the prior art, wherein flight tracks output by control center systems are integrated; flight plan tracks are established; relevant information is output according to demands of control centers; and thus comprehensive information integration among the control centers is realized. The method provided by the invention is characterized in that the data of each control center is analyzed and treated by time rectification, space rectification and quality analysis; then normal data, laggard data and abnormal data are processed separately; and thus the comprehensive track data integration is realized.

The present invention belongs to the technical fields of medical image processing and application, and particularly relates to a mark point-free robust neuro-navigation automatic registration method.The registration method uses extraction and matching based on three-dimensional surface features, after a point cloud obtained by a laser scanner and a point cloud obtained by CT/MRI are used to obtain a coordinate transformation between the two point clouds to achieve the coarse registration, the registration method of iteration of the most adjacent points is used, a result of the coarse registration is then subjected to the registration with the point cloud representing a patient space reconstructed by CT in neuro-navigation to realize the automatic registration of the neuro-navigation. Themethod has better robustness and convenience than a neuro-navigation spatial registration method in the prior art based on surface matching.

The invention belongs to the medical image processing and application field and relates to a global optimization-based neural navigation automatic space registration method. The method includes the following steps that: the point cloud of the whole head surface of a patient is obtained through scanning, and the point cloud is converted into a patient space; normalization processing is performed on the point cloud in the patient space and point cloud in an image space reconstructed by an image device, and the coordinates of the point cloud in the patient space and the point cloud in the image space reconstructed are unified to be within [- 1, 1] <3>; a Go-ICP algorithm-based global optimization spatial registration method is adopted to perform automatic registration on the two point clouds; and the two point clouds are fused, and are unified into the same space. As indicated by clinical practice results, the method of the invention has the advantages of simple implementation, convenient use and reliable precision, and is convenient to apply to clinical application, can be integrated in an existing navigation system and can improve the registration accuracy of the navigation system and reduce registration time.

A xerographic system (8) includes a moving photoreceptor (10) and multiple toner development systems (12, 14) arranged to selectively dispose regions of toner on the moving photoreceptor. A toner density sensor (40) is arranged to measure toner density on the moving photoreceptor over a sensor area (A). A toner coverage monitor (64) operatively connected with the toner density sensor (40) monitors toner coverage based on measurements by the toner density sensor of toner coverage calibration regions disposed on the moving photoreceptor by the multiple toner development systems. A spatial registration monitor (66) also operatively connected with the toner density sensor (40) monitors spatial registration of the multiple toner development systems based on measurements by the toner density sensor of spatial registration calibration regions disposed on the moving photoreceptor by the multiple toner development systems.

Disclosed is a apparatus for generating a needle insertion path for an interventional robot, which provides a needle insertion path for intervention by inserting a needle. The apparatus includes a patient-side optical tool located on a patient for showing a position of an intervention target part among parts of the patient, a robot-side optical tool located on an interventional robot for showing a position of the interventional robot, and a needle path calculator configured to track positions of the patient-side optical tool and the robot-side optical tool to perform spatial registration on a local coordinate system of the patient-side optical tool based on the position of the patient-side optical tool with respect to a robot base coordinate system based on the position of the robot-side optical tool, and calculate a needle insertion path with respect to robot base coordinate system, based on a result of the spatial registration.

The invention discloses a human body lower limb registration method applied to a mechanical axis navigation system. The method comprises the following steps that: (1) human body lower limb CT data are obtained through scanning, a human body lower limb three-dimensional model is reconstructed according to the obtained human body lower limb CT data, and the human body lower limb three-dimensional model is saved as an STL grid model by means of a high-precision storage mode, so that the STL grid model can be used for subsequent data processing; (2) bone surface point cloud data in the human body lower limb three-dimensional model are extracted through a feature point extraction algorithm, so that feature points to be matched on the surface of the three-dimensional model are obtained, the bone surface point cloud data are stored so as to be used for subsequent matching; (3) an optical tracking device is adopted to obtain diseased bone feature area point cloud data, and the diseased bone feature area point cloud data are preprocessed, so that smooth diseased bone characteristic area point cloud data can be obtained; (4) the step (2) is repeated, so that the space coordinates of the feature points of diseased bone specified area point cloud data are extracted; and (5) a three-point registration algorithm is used to realize the spatial registration of a diseased bone model and a diseased bone. With the method adopted, the registration time of feature points can be effectively shortened, and the efficiency of an operation is high.