Abstract: A method includes receiving a three-dimensional image dataset of a surgical site of a patient. The method also includes segmenting one or more anatomical features of the surgical site based on the three-dimensional image dataset. The method also includes receiving a two-dimensional image of the surgical site of the patient and registering the two-dimensional image to an image from the three-dimensional image dataset. The method also includes displaying a two-dimensional representation of the segmented one or more anatomical features based on the registered two-dimensional image and the image from the three-dimensional image dataset.

Abstract: The present disclosure includes systems, methods and media for rendering objects translucent and for recovery of anatomical information blocked by the objects in medical images.

Abstract: Example systems and methods correctly align or register a first image with a second image using user input to identify location(s) of interest in the overlay image. The system can ask a user to select a vertebral level of interest on a screen displaying the baseline and/or the overlay image. Then, the user input can be advantageously to guide subsequent image registration steps. The systems and methods herein may also be used to augment an existing image-recognition algorithm.

Abstract: The present disclosure includes systems, methods and media for rendering objects translucent and for recovery of anatomical information blocked by the objects in medical images.

Abstract: Imaging systems and methods may facilitate positioning an imaging device in a procedure room. A 3D image of a subject may be obtained, where the subject is to have a procedure performed thereon. A view of the 3D image of the subject may be adjusted to a desired view and an associated 2D image reconstruction at the desired view may be obtained. A position for the imaging device that is associated with the desired view of the 3D image of the subject may be identified. Adjusting a view of the 3D image to a desired view and obtaining a 2D image reconstruction may be performed pre-procedure, such that a user may be able to create a list of desired views pre. A user may adjust a physical position of the imaging device to obtain reconstructed 2D preview images at the adjusted physical position of the imaging device prior to capturing an image.

Abstract: Example systems and methods correctly align or register a first image with a second image using user input to identify location(s) of interest in the overlay image. The system can ask a user to select a vertebral level of interest on a screen displaying the baseline and/or the overlay image. Then, the user input can be advantageously to guide subsequent image registration steps. The systems and methods herein may also be used to augment an existing image-recognition algorithm.

Abstract: Imaging systems and methods may facilitate positioning an imaging device in a procedure room. A 3D image of a subject may be obtained, where the subject is to have a procedure performed thereon. A view of the 3D image of the subject may be adjusted to a desired view and an associated 2D image reconstruction at the desired view may be obtained. A position for the imaging device that is associated with the desired view of the 3D image of the subject may be identified. Adjusting a view of the 3D image to a desired view and obtaining a 2D image reconstruction may be performed pre-procedure, such that a user may be able to create a list of desired views pre. A user may adjust a physical position of the imaging device to obtain reconstructed 2D preview images at the adjusted physical position of the imaging device prior to capturing an image.

Abstract: Examples of the disclosure include methods and systems for calibrating a C-arm imaging device for surgical navigation. Calibrating the C-arm imaging device may include, for a plurality of positions of the C-arm imaging device, determining the position of the C-arm imaging device, receiving an image of a calibration fixture from the C-arm imaging device, determining the position of the calibration fixture and a tracking array positioned on the C-arm imaging device, determining intrinsic parameters using the image and the position of the calibration fixture, and determining extrinsic parameters using the position of the tracking array relative to a detector of the C-arm imaging device. Calibrating the C-arm imaging device may include modeling parameters for the C-arm imaging device and iteratively tuning the model.

Abstract: Systems and methods for automatically determining pedicle screw trajectories for surgery may be provided. A scan of a spine may be received, and positions of one or more vertebra and one or more components of the one or more vertebra in the scan may be identified. Next, a screw trajectory planning algorithm may determine an initial screw trajectory plan using the positions of the one or more vertebra and the one or more components. The screw trajectory planning algorithm may then determine a revised screw trajectory plan by revising the initial screw trajectory plan according to weighted factors.

Abstract: Embodiments described herein relate to a battery bank and techniques for managing batteries of the battery bank. For example, the battery bank may include at least a primary battery and a secondary battery. In various embodiments, processor(s) of a primary battery management system (BMS) of the primary battery may monitor battery diagnostic information for the battery bank, receive an indication to charge the battery bank from a central controller that is communicatively coupled to the battery bank, select a given battery to be charged from among at least the primary battery and the secondary battery, and cause the given battery to be charged. In various embodiments, the primary BMS may be internal to the primary battery. In various embodiments, the secondary battery may include a corresponding secondary BMS to communicate with the primary BMS to enable the processor(s) of the primary BMS to monitor the battery diagnostic information.

Abstract: Disclosed herein are systems and methods for enhancement of objects of interest in medical images.

Abstract: Disclosed examples include those directed to detecting and remediating detachment of electrodes from a patient. In an example, a system calculates a Pearson correlation coefficient between: (1) power spectral density of the noise and (2) power spectral density of a recorded signal (e.g., from an electrode being operated in free-run EMG mode). If the recorded signal correlates with the noise, then the system notifies the user of presence of noise (e.g., the fallen electrode). Otherwise, the recorded signal is considered as the signal of interest (e.g., a valid EMG signal).

Abstract: Disclosed examples include those directed to detecting and remediating detachment of electrodes from a patient. In an example, a system calculates a Pearson correlation coefficient between: (1) power spectral density of the noise and (2) power spectral density of a recorded signal (e.g., from an electrode being operated in free-run EMG mode). If the recorded signal correlates with the noise, then the system notifies the user of presence of noise (e.g., the fallen electrode). Otherwise, the recorded signal is considered as the signal of interest (e.g., a valid EMG signal).

Abstract: Disclosed herein are systems and methods for enhancement of objects of interest in medical images.

Abstract: Present embodiments relate to a power controller for charging at least two battery banks. More specifically, the present embodiments relate to a power controller which provides for at least two input sources and may charge the at least two battery banks simultaneously or independently.

Abstract: Disclosed examples include those directed to detecting and remediating detachment of electrodes from a patient. In an example, a system calculates a Pearson correlation coefficient between: (1) power spectral density of the noise and (2) power spectral density of a recorded signal (e.g., from an electrode being operated in free-run EMG mode). If the recorded signal correlates with the noise, then the system notifies the user of presence of noise (e.g., the fallen electrode). Otherwise, the recorded signal is considered as the signal of interest (e.g., a valid EMG signal).

Abstract: Various methods and systems are provided for suggesting annotation shapes to be applied to a medical image. In one example, a method includes outputting, for display on a display device, a set of annotation icons from an icon library based on a current image displayed on the display device and displaying an annotation on the current image in response to selection of an annotation icon from the set. The method further includes automatically adjusting the annotation to a corresponding anatomical feature in the current image and saving the current image with the annotation.

Abstract: Imaging systems and methods may facilitate positioning an imaging device in a procedure room. A 3D image of a subject may be obtained, where the subject is to have a procedure performed thereon. A view of the 3D image of the subject may be adjusted to a desired view and an associated 2D image reconstruction at the desired view may be obtained. A position for the imaging device that is associated with the desired view of the 3D image of the subject may be identified. Adjusting a view of the 3D image to a desired view and obtaining a 2D image reconstruction may be performed pre-procedure, such that a user may be able to create a list of desired views pre. A user may adjust a physical position of the imaging device to obtain reconstructed 2D preview images at the adjusted physical position of the imaging device prior to capturing an image.

Abstract: Disclosed herein are systems and methods for adjusting appearance of objects in medical images.

Abstract: A method includes receiving a three-dimensional image dataset of a surgical site of a patient. The method also includes segmenting one or more anatomical features of the surgical site based on the three-dimensional image dataset. The method also includes receiving a two-dimensional image of the surgical site of the patient and registering the two-dimensional image to an image from the three-dimensional image dataset. The method also includes displaying a two-dimensional representation of the segmented one or more anatomical features based on the registered two-dimensional image and the image from the three-dimensional image dataset.