Systems and methods are provided in which intraoperatively acquired surface data is employed to verify the correspondence of an intraoperatively selected spinal level with a spinal level that is pre-selected based on volumetric image data. Segmented surface data corresponding to the pre-selected spinal levels may be obtained from the volumetric image data, such that the segmented surface data corresponds to a spinal segment that is expected to be exposed and identified intraoperatively during the surgical procedure. The segmented surface data from the pre-selected spinal level, and adjacent segmented surface data from an adjacent spinal level that is adjacent to the pre-selected spinal level, is registered to the intraoperative surface data, and quality measures associated with the registration are obtained, thereby permitting an assessment or a determination of whether or not the pre-selected spinal surface (in the volumetric frame or reference) is likely to correspond to the intraoperatively selected spinal level.

In this patent, a method for prioritizing items within a 3D volume is presented. This allows prioritized items within the display to achieve preferential display. Augmented visualization strategies of such prioritized items are also provided.

A method of planning the correction of spinal deformations of a subject, by performing segmentation on a three dimensional image of the subject's spine in its erect neutral position, such that the positions and orientations of the vertebrae in a region of interest are characterized. Parameters relating to the alignment and position of the vertebrae are derived from the segmentation, followed by determining whether the parameters fall within an acceptable range desired for the spine of the subject. If not within the acceptable range, an alignment optimization is performed on the vertebrae to bring the parameters within the acceptable range, to reduce the spinal deformations of the subject's spine. The alignment optimization is performed by taking into consideration limitations arising from the dynamic range of motion of the vertebrae as determined by analyzing images of the subject's spine, while the subject is in positions of maximum bending.

The present application relates to method and device for determining image similarity that includes: dividing a target image into multiple regions based on positions of pixels relative to a reference point in the target image, and dividing a reference image into multiple regions based on positions of pixels relative to a reference point in the reference image; determining, based on feature points in the target image and feature points in the reference image as well as the regions obtained by dividing the target image and the regions obtained by dividing the reference image, similarity between a distribution of the feature points in the target image and a distribution of the feature points in the reference image. According to the method of the present application, the similarity is described more reasonably.

Provided is a method for determining a position of an imaged anatomical body part of a patient. The method includes acquiring patient image data describing a digital image of at least part of a reference device and the anatomical body part, acquiring reference device model data describing a model of at least one of at least one internal surface or at least one external surface of the reference device, determining, based on the patient image data and the reference device model data, reference device image position data describing a relative position between the reference device and the anatomical body part, acquiring reference device tracking data describing a position of the reference device in the tracking reference system, and determining, based on the reference device image position data and the reference device tracking data, body part tracking data describing a position of the anatomical body part in the tracking reference system.

A medical apparatus of embodiments includes processing circuitry. The processing circuitry is configured to input third projection data to a first trained model to generate fourth projection data, the first trained model being generated through learning using first projection data collected by a first X-ray detector included in a first scanner and relatively greatly affected by scattered rays as learning data of an input side and using second projection data relatively less affected by scattered rays as learning data of an output side, the first trained model being configured to generate, on the basis of the third projection data collected by a second X-ray detector included in a second scanner, the fourth projection data in which the influence of scattered rays in the third projection data has been reduced. The first projection data is collected by the first X-ray detector in a case where a collimator provided in a first X-ray source included in the first scanner has a first opening width. The second projection data is collected by the first X-ray detector in a case where the collimator has an opening width smaller than the first opening width.

A computing device has a processor. A display is coupled to the processor. A user interface is coupled to the processor for entering data into the computing device. A memory is coupled to the processor, the memory storing program instructions that when executed by the processor, causes the processor to: load medical image data; match the medical image data to an anatomical model stored in a database having a data set closest to the medical image data; adjust at least one property on the anatomical model to form a modified anatomical model to match the medical data image; and detect if areas on the modified anatomical model exceeds predefined ranges indicating potential injured areas.

Methods and systems for performing computer-assisted image-guided surgery, including robotically-assisted surgery. A method of displaying image data includes displaying image data of a patient on a handheld display device, tracking the handheld display device using a motion tracking system, and modifying the image data displayed in response to changes in the position and orientation of the handheld display device. Further embodiments include a sterile case for a handheld display device, display devices on a robotic arm, and methods and systems for performing image-guided surgery using multiple reference marker devices fixed to a patient.

The disclosure relates to a method for recording a panorama dataset of an examination object by a movable medical x-ray device, to a medical x-ray device, and to a computer program product for carrying out the method. The medical x-ray device has an x-ray source, which emits a bundle of x-rays, wherein a first image segment, which maps at least one part of the examination object, is recorded at a first point in time. Position data is acquired, which maps the spatial position of the x-ray device at this first point in time. At least one further image segment along an imaging path is recorded after there has been a movement of the x-ray device, wherein the imaging path lies in one plane, wherein a central ray of the bundle of x-rays emitted by the x-ray source does not run in parallel to the plane in which the imaging path lies. Additionally, position data is acquired, which maps the spatial position of the x-ray device at the time of the recording of the at least one further image segment. The acquired position data is uniquely assigned to the recorded image segments. The panorama dataset is assembled from at least two image segments with the position data assigned thereto from a set of all recorded image segments with the position data assigned thereto.

An ultrasound probe for percutaneous insertion into an incision and related methods are disclosed herein, e.g., for imaging neural structures at a surgical site of a patient. An exemplary ultrasound probe can be a portable ultrasound probe configured to be passed percutaneously into an incision and can have an imaging region extending distally from a distal tip of the probe. In one embodiment the ultrasound probe can be a navigated portable ultrasound probe. The ultrasound probe can be connected to a computing station and configured to transmit images to the computing station for processing. In another embodiment, an ultrasound probe can be part of a network of sensors, including at least one external sensor, where the network of sensors is configured to transmit images to the computing station for processing. The computing station can process and display images to visualize and/or highlight neurological structures in an imaged region.