819results about "Foreign body detection" patented technology

Improved novel 3D imaging and reconstruction methods for quantitative and accurate 3D imaging used in multiple industries, segments, and applications within each. Improvement includes methods and hardware configured to improve performance and lower radiation and improve accessibility. Using simplified system matrix and datasets of little scatter interference in tomographic image acquisition and reconstruction, in some cases, using time continuity and spatial continuity to generate parameter data for substances within VOI for a number of key applications in medical and non-medical fields.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

The invention relates to the technical field of tumor interventional operations, and discloses a visual navigation method based on a tumor interventional operation robot. The method comprises the following steps: acquiring real-time medical image data of a tumor area containing multi-modal imaging information so as to comprehensively present anatomical details; and performing three-dimensional reconstruction on the image data to generate a tumor area three-dimensional anatomical structure model capable of visually displaying a space structure. Key anatomical feature points are extracted based on the model, space coordinates are calculated, a surgical robot intervention path is planned according to the coordinates, and an initial navigation track is generated; and continuously collecting real-time pose data of the robot in an operation, dynamically matching the real-time pose data with the initial navigation trajectory, adjusting motion parameters according to a matching result, and generating a corrected navigation instruction. The method can reflect the intraoperative anatomy condition in real time, dynamically optimize the path, solve the problems that traditional navigation depends on preoperative static images and lacks real-time adjustment, reduce operative complications and improve the treatment effect of patients.

The invention relates to the technical field of medical instruments, and discloses a breast cancer sentinel lymph node positioning system and method, and the system comprises a data collection subsystem, a space positioning subsystem and a central processing subsystem. The method comprises the following steps: acquiring an anatomical structure image, a radioactivity counting rate and fluorescence intensity after performing primary fluorescence, radioactivity and secondary pulse type fluorescence tracer injection in sequence; establishing a global coordinate system and generating an anatomical region of interest; constructing a weighted directed topological graph based on the initial fluorescence data, and obtaining a baseline flow velocity; extracting radionuclide dynamic characteristics based on the radioactive data; a functional flow rate attenuation coefficient is calculated based on the second pulsed fluorescence data. And a multi-factor scoring model is applied, topological information, dynamic characteristics and functional flow velocity attenuation coefficients are fused, and a comprehensive score is calculated to identify the sentinel lymph node. According to the method, the lymphatic flow topological structure, nuclide dynamics and functional flow velocity information are combined, and the positioning accuracy and reliability are improved.

To provide an image processing device, an image processing method, and an image processing program that enable a distance of an inner cannula in which a puncture needle projects to be easily checked as compared to a case of manually measuring the distance.SOLUTION: A control part performs processing of displaying a virtual position 36 that a distal end of an inner cannula reaches so as to be superimposed on a CT image 38 on the basis of predetermined distance information to the distal end of the inner cannula when the inner cannula projects from an outer cannula 32.SELECTED DRAWING: Figure 4

Devices and methods for making a polymer with a porous layer from a solid piece of polymer are disclosed. In various embodiments, the method includes heating a surface of a solid piece of polymer to a processing temperature and holding the processing temperature while displacing a porogen layer through the surface of the polymer to create a matrix layer of the solid polymer body comprising the polymer and the porogen layer. In at least one embodiment, the method also includes removing at least a portion of the layer of porogen from the matrix layer to create a porous layer of the solid piece of polymer.

A system includes a processor circuit that receives intravascular imaging data from an intravascular imaging catheter, an x-ray image from an x-ray imaging device, and intravascular pressure data from an intravascular pressure-sensitive guidewire. The processor circuit correlates the intravascular imaging data and the intravascular pressure data with locations along a body lumen shown in the x-ray image. The processor circuit generates a longitudinal view of the body lumen based on the intravascular imaging data and outputs a screen display including the longitudinal view of the body lumen with an overlaid graphic representation corresponding to the intravascular pressure measurements.

A method for molecular image acquisition includes beginning acquisition of a molecular image via a molecular imaging system, performing one or more analyses of the molecular image during acquisition of the molecular image to determine whether at least one hot spot is present in the image, and if it is determined that it is statistically significant that there is either at least one hot spot present or there is not at least one hot spot present in the image in any one of the one or more analyses of the molecular image, performing at least one of providing a recommendation that the acquisition be stopped or stopping the acquisition automatically.

An imaging system is provided comprising an imaging probe and at least one delivery device. The imaging probe comprises an elongate shaft, a rotatable optical core and an optical assembly. The elongate shaft comprises a proximal end, a distal portion, and a lumen extending between the proximal end and the distal portion. The rotatable optical core is positioned within the lumen of the elongate shaft and comprises a proximal end and a distal end. The rotatable optical core is configured to optically and mechanically connect with an interface unit. The optical assembly is positioned in the elongate shaft distal portion and proximate the rotatable optical core distal end. The optical assembly is configured to direct light to tissue and collect reflected light from the tissue. The imaging probe is constructed and arranged to collect image data from a patient site. The at least one delivery device is constructed and arranged to slidingly engage the imaging probe. Methods of introducing the imaging probe and the at least one delivery catheter into a patient are also provided.

A calibration target for use with a radiographic image detector includes a target body securable to the image detector and a plurality of radiopaque linear markers, e.g. wires, fixed to the target body, wherein access to the image detector by incident radiation is at least partially blocked by the plurality of linear markers. By using the geometric properties of wires and advanced detection techniques, a precise calibration suitable for high-quality, volumetric three-dimensional CT reconstruction from biplanar X-ray images is achieved.

Systems and methods for a robotic endoscopy system are provided. The method comprises: (a) receiving instruction to present, at a graphical display, one or both of: one or more tomosynthesis reconstructions or one or more augmented fluoroscopic overlays; and (b) in response to receiving the instruction, causing the graphical display to present one or both of the tomosynthesis reconstructions or the augmented fluoroscopic overlays.

One or more example embodiments relates to a medical imaging device for examination of a body part of a patient, in particular a mammography device for examination of the female breast, comprising an imaging unit configured to perform an X-ray-based imaging concerning the body part positioned in a positioning area of the medical imaging device; and a biopsy device comprising a biopsy needle configured to obtain a tissue sample from the body part positioned in the positioning area and a light generating device configured to generate light to reach the positioning area.

A computer implemented method for determining a 3D position of a surgical object relative to a region of interest in a patient's anatomy. The method includes receiving an X-ray image and a 3D data set. The X-ray image is a 2D projection image generated with an imaging direction and defining a 3D image coordinate system. The 2D projection image may depict a part of a patient's anatomy and a part of the surgical object. The received 3D data set describes the part of the patient's anatomy and a region of interest in a 3D data coordinate system. In order to determine a spatial relation between the 3D image coordinate system and the 3D data coordinate system, the part of the patient's anatomy is localized based on the X-ray image. Subsequently, the 3D position of the surgical object relative to the region of interest is determined in the 3D coordinate system.

Disclosed is a system for assisting in guiding and performing a procedure on a subject. The subject may be any appropriate subject such as inanimate object and / or an animate object. An imaging system may be used to image the subject. A system may include various manipulable or movable members, such as robotic systems, and may be used to move and position the imaging system.

The invention discloses a CT interventional puncture positioning method and puncture positioning system based on artificial intelligence, and the method comprises the steps: carrying out the image structure obtaining of fused image data through a CT interventional target positioning model, and obtaining a planned track of an identified target and / or an operation path; and carrying out pixel-level segmentation on the fused image data by using a U-Net deep learning model, generating a surface grid by using three-dimensional reconstruction, conversion of a segmentation result into a voxel grid model and a three-dimensional surface reconstruction algorithm according to an identified image structure, constructing a three-dimensional anatomical model, and obtaining a planned trajectory of a target positioning and / or operation path in the three-dimensional anatomical model. The invention discloses an artificial intelligence-based CT (Computed Tomography) interventional puncture positioning method and puncture positioning system, which are used for analyzing and processing CT image data by utilizing an artificial intelligence technology, providing accurate operation path planning and guidance for CT interventional target positioning and operation and improving the accuracy of target positioning and path drawing.

Flexible, longitudinally extended sensors comprising variably resistive and / or inductive sensing material. Sensors connect to an external processing unit using as few as 2 wires. In operation, sensors measure resistance / inductance along their longitudinal extent (curve). Spectral de-multiplexing allows electrical property differences along sensors to be resolved. This enables shape tracking of the flexible sensor. The sensor principles are suitable for the production of ultra-small diameter probes (for example, smaller than 0.5 mm) of arbitrary length (for example, 30 cm long). There are potential advantages for cost efficiency and ease of manufacture. The sensor can be constructed as a shape tracked guidewire to enable endovascular navigation procedures. The sensor's tracked shape enables deformation tracking of the anatomy. Using the sensor's tracked shape rather than repetitive X-ray imaging improves navigational accuracy and reduces exposure to radiation.

In an X-ray imaging method, at least two X-ray images are obtained of a region to be depicted in an object, wherein the at least two X-ray images correspond to different acquisition timeframes and represent a vascular structure of the object in different contrast-agent filling states. A shared vessel mask, which represents the vascular structure, is generated based on the at least two X-ray images. At least two live images of the region to be depicted are obtained, which correspond to different second acquisition timeframes. For each image of the at least two live images, depending on the shared vessel mask, a corresponding overlay image for displaying on a display device is generated.

Various embodiments of the invention provide systems and methods to assist or guide an arthroscopic surgery (e.g., surgery of the shoulder, knee, hip or spine) or other surgical procedure by providing measurements intraoperatively. The systems and methods comprise steps of receiving a video stream from an arthroscopic imaging device; receiving one or more sets of coordinates of one or more points, paths, or area; calculating a length, a surface area, or a volume measurement based at least in part on the one or more sets of coordinates; overlaying the selected one or more sets of coordinates and the measurement on the video stream or on an expanded view of a region of surgery; and displaying the overlay on one or more display devices intraoperatively so as to be used by an operator during the arthroscopic procedure.

A system and method combine optical and radiographic data to enhance imaging capabilities. Specifically, the system combines visually obtained patient pose position information and radiographic image information to facilitate calibrated surgical navigation. The process involves a data acquisition phase, a system calibration phase, a volume reconstruction phase, and a surgical navigation phase, all resulting in the alignment of instrument coordinates with the patient and reconstructed volume coordinates enabling tracking and navigation of surgical instruments within a reconstructed 3D volume of the patient anatomy, even if such anatomy is not exposed during a procedure.

The present invention discloses a system for vascular imaging co-registration, the system comprising: a processor, the processor being configured for: obtaining extravascular imaging data of a portion of a blood vessel, the extravascular imaging data including: an extravascular image showing: an intravascular imaging device disposed within the vessel, with an imaging element of the intravascular imaging device, and a visualized anatomical landmark; obtaining intravascular imaging data from the intravascular imaging device, the intravascular imaging data including one or more intravascular images obtained during a translation procedure in which the imaging element of the intravascular imaging device is translated within the blood vessel from a starting location to an ending location, the one or more intravascular images showing a detected anatomical landmark; and aligning the detected anatomical landmark with the visualized anatomical landmark.

A system includes a processor circuit that receives intravascular imaging data from an intravascular imaging catheter, an x-ray image from an x-ray imaging device, and intravascular pressure data from an intravascular pressure-sensing guidewire. The processor circuit correlates the intravascular imaging data and the intravascular pressure data to locations along a body lumen shown in the x-ray image. The processor circuit generates a longitudinal view of the body lumen based on the intravascular imaging data and outputs a screen display including the longitudinal view of the body lumen with an overlaid graphical representation corresponding to the intravascular pressure measurements.

The invention relates to the technical field of radiotherapy, and discloses a multi-modal image fusion guided chest tumor adaptive radiotherapy system. The system comprises an asynchronous bimodal sensing module, a spectrum preprocessing module, a parameter inversion module, a boundary construction module and a biomechanical calculation module. According to the method, the feedback voxel-level velocity field is utilized to execute Lagrange reverse warping on the high-energy projection with physical time delay, and motion artifacts are eliminated; and dynamically updating the Young modulus of the lung tissue mechanical model based on the inverted real-time electron density, and solving a full-field three-dimensional displacement field in combination with double boundary conditions of body surface flexibility and internal skeleton rigidity so as to reconstruct a tumor target region and generate a beam control instruction. According to the method, through closed-loop interaction of image physics and biomechanics, the problems of dual-energy imaging motion artifact interference and insufficient lung tissue fixed parameter modeling precision are solved, and accurate self-adaptive tracking of a tumor target region is realized.

A method and system for acquiring image data of a subject is disclosed. Image data may be collected using an imaging system that uses various selection techniques. Selection techniques may be used to assist in generating selected images for viewing.

Medical devices and related methods useful for needle access during medical procedures are described. The medical device may include a needle and a handle coupled to the needle, wherein the handle includes a body comprising a radiolucent material, a first marker proximate a proximal end of the body and a second marker proximate a distal end of the body. Each of the first marker and the second marker may include a radiopaque material, and the first marker may have a shape complementary to the second marker to align a position of the needle relative to a subject when visualized by X-ray imaging.

Disclosed is a medical imaging system, including a processor circuit configured for communication with an x-ray imaging device movable relative to a patient and an intravascular catheter or guidewire sized and shaped for positioning within a blood vessel of the patient, wherein the processor circuit is configured to receive a first angiographic image of a first length of the vessel and a second angiographic image of a second length of the vessel, wherein the first image is obtained at a first position and the second angiographic image is obtained at a second position. The processor is further configured to generate a roadmap image of a combined length of the blood vessel by combining the first image and the second image, and to receive intravascular data associated with the blood vessel, and to co-register the intravascular data to corresponding locations in the roadmap image; and output the roadmap image and a graphical representation of the intravascular data at the corresponding locations in the roadmap image.

A system (200) for providing guidance information for an implantable device extraction procedure, is provided. The system includes one or more processors (210) configured to: receive (S 110) attenuation data (110) representing an implantable device (120) in an anatomical region, the attenuation data defining X-ray attenuation within the anatomical region; analyze (S120) the attenuation data (110) to determine an amount of adhesion (130) between the implantable device (120) and a tissue (140) contacting the implantable device; and output (S130) guidance information for the implantable device extraction procedure based on the amount of adhesion (130).

The present application provides a medical imaging coordinate correction system based on a geodetic coordinate system, comprising a fixed box, and a swingable coordinate system tube, which is connected to the fixed box and contains a contrast agent; the fixed box is also provided with a rotatable calibration plate, which is provided with a cross mark, and the coordinate system tube is connected to the calibration plate; a rotatable display board rack is also provided, which is used to fix a tissue model, and the display board rack is provided with an inclination sensor, which solves the problem of poor coordinate system correspondence and difficult quantitative feedback of the angle value of the physical model when the virtual imaging model is converted into a physical model.