In one aspect, the present disclosure describes a method for detecting cerebrospinal fluid (CSF) flow of a subject in which magnetic resonance imaging signals of a selected region of interest of the subject's anatomy are acquired. Preferably, the selected region of interest comprises the cerebro-spinal anatomy. A central location of the selected region of interest of the subject's anatomy is determined and used to determine a mean intensity value associated with image pixels of the central location. The mean intensity value is then used to establish interior and exterior outlines of the the selected region of interest of the subject's anatomy so that the CSF flow within the interior and exterior anatomical outlines may be measured or detected.

Systems and methods are provided for use in image-guided surgical procedures, in which intraoperatively acquired surface data is employed to verify the correspondence between intraoperatively selected fiducial points and volumetric fiducial points, where the volumetric fiducial points are selected based on volumetric image data. Segmented surface data obtained from the volumetric image data is registered to the intraoperative surface data using the intraoperative and volumetric fiducial points for initial surface alignment, and this process is repeated for other permutations of the correspondence between the intraoperatively fiducial points and the volumetric fiducial points. Quality measures may be determined that relate to the registration quality for each fiducial correspondence permutation, where the quality measures may be employed to assess of the likelihood that the initially prescribed fiducial correspondence is correct. A graphical representation may be generated for visually displaying the alignment of the registered surfaces for the different fiducial correspondence permutations.

Various methods and systems are provided for scanning an image subject along a scan axis. The method includes stitching sectional datasets acquired from different anatomical sections of the image subject based on locations of a landmark in the sectional datasets.

A method is disclosed for spinal anatomy segmentation. In one example, the method includes combining a fully convolutional network with a residual neural network. The method also includes training the combined fully convolutional network with the residual neural network from end to end. The method also includes receiving at least one medical image of a spinal anatomy. The method also includes applying the fully convolutional network with the residual neural network to at least one medical image and segmenting at least one vertebral body from the at least one medical image of the spinal anatomy.

A method and system is disclosed for analyzing and evaluating image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. More than one projection may be combined to generate and create a selected view of the subject. The evaluation may be a location determination of a member positioned within the subject.

Systems and methods are disclosed whereby a surface detection system is employed to obtain intraoperative surface data characterizing an exposed surface of the spine. In some embodiments, this intraoperative surface data is registered to segmented surface data obtained from volumetric data of the spine in order to assess the intraoperative orientation of the spine and provide feedback associated with the intraoperative orientation of the spine. The feedback may characterize the intraoperative spinal orientation as a change relative to the preoperative orientation.

3D image data of a skeletal portion is acquired. A location of a proximal portion of a tool is calculated and a location is derived of a distal portion of the tool with respect to the skeletal portion, with respect to the 3D image data. A display indicates the derived location. First and second 2D images of the distal portion of the tool are acquired from two different poses of a 2D imaging device with respect to the subject and registered with the 3D image data. The location of the distal portion with respect to the 3D image data of the skeletal portion is determined based on the registration and an identified location of the distal portion within the 2D x-rays. Based upon the determined location, the display updates the indicated location of the distal portion. Other embodiments are also described.

The present disclosure relates to the generation of partial surface models them volumetric datasets for subsequent registration of such partial surface models to surface topology datasets. Specifically, given an object that is imaged using surface topology imaging and another volumetric modality, the volumetric dataset is processed in combination with an approach viewpoint to generate one or more partial surfaces of the object that will be visible to the surface topology imaging system. This procedure can eliminate internal structures from the surfaces generated from volumetric datasets, thus increases the similarity of the dataset between the two different modalities, enabling improved and quicker registration.

Methods and systems for image processing are provided. Image data may be obtained. The image data may include a plurality of voxels corresponding to a first plurality of ribs of an object. A first plurality of seed points may be identified for the first plurality of ribs. The first plurality of identified seed points may be labelled to obtain labelled seed points. A connected domain of a target rib of the first plurality of ribs may be determined based on at least one rib segmentation algorithm. A labelled target rib may be obtained by labelling, based on a hit-or-miss operation, the connected domain of the target rib, wherein the hit-or-miss operation may be performed using the labelled seed points to hit the connected domain of the target rib.

Mediated-reality imaging systems, methods, and devices are disclosed herein. In some embodiments, an imaging system includes (i) a camera array configured to capture intraoperative image data of a surgical scene in substantially real-time and (ii) a processing device communicatively coupled to the camera array. The processing device can be configured to synthesize a three-dimensional (3D) image corresponding to a virtual perspective of the scene based on the intraoperative image data from the cameras. The imaging system is further configured to receive and/or store preoperative image data, such as medical scan data corresponding to a portion of a patient in the scene. The processing device can register the preoperative image data to the intraoperative image data, and overlay the registered preoperative image data over the corresponding portion of the 3D image of the scene to present a mediated-reality view.