A method and system implementing a method for detecting a catheter in fluoroscopic data and updating a displayed electromagnetic position of the catheter on a 3D rendering is provided including navigating a catheter to a target area and acquiring fluoroscopic data from a fluoroscopic sweep of the target area. An initial catheter detection is performed to detect catheter tip candidates in each 2D frame of the fluoroscopic data using a shallow neural network. A secondary catheter detection is performed to detect catheter tip candidates in each 2D frame of the fluoroscopic data using a deep neural network. False-positive catheter tip candidates are removed by reconstructing a 3D position of the catheter tip and finding an intersecting point of rays corresponding to each 2D frame.

A method of modeling lungs of a patient includes acquiring computed tomography data of a patient's lungs, storing a software application within a memory associated with a computer, the computer having a processor configured to execute the software application, executing the software application to differentiate tissue located within the patient's lung using the acquired CT data, generate a 3-D model of the patient's lungs based on the acquired CT data and the differentiated tissue, apply a material property to each tissue of the differentiated tissue within the generated 3-D model, generate a mesh of the 3-D model of the patient's lungs, calculate a displacement of the patient's lungs in a collapsed state based on the material property applied to the differentiated tissue and the generated mesh of the generated 3-D model, and display a collapsed lung model of the patient's lungs based on the calculated displacement of the patient's lungs.

A method for visualizing and targeting anatomical structures inside a patient utilizing a handheld screen device may include grasping the handheld screen device and manipulating a position of the handheld screen device relative to the patient. The handheld screen device may include a camera and a display. The method may also include orienting the camera on the handheld screen device relative to an anatomical feature of the patient by manipulating the position of the handheld screen device relative to the patient, capturing first image data of light reflecting from a surface of the anatomical feature with the camera on the handheld screen device, and comparing the first image data with a pre-operative 3-D image of the patient to determine a location of an anatomical structure located inside the patient and positioned relative to the anatomical feature of the patient.

A system and method includes determination of a region of interest of an imaging subject, generation of a first linear attenuation coefficient map of the imaging subject, the first linear attenuation coefficient map generated to associate voxels of the region of interest of the imaging subject with greater linear attenuation coefficients than voxels of other regions of the imaging subject, attenuation-correction of a plurality of tomographic frames of the imaging subject based on the first linear attenuation coefficient map to generate a second plurality of tomographic frames, and determination of tomographic inconsistency of the second plurality of tomographic frames. Some aspects further include generation of a second linear attenuation coefficient map of the imaging subject, attenuation-correction of the plurality of tomographic frames based on the second linear attenuation coefficient map to generate a third plurality of tomographic frames, and reconstruction of a three-dimensional image based on the third plurality of tomographic frames and the determined tomographic inconsistency.

A mini C-arm with a movable X-ray source is disclosed. The mini C-arm including a moveable base, a C-arm assembly, and an arm assembly for coupling the C-arm assembly and the base. The C-arm assembly includes a first end, a second end, and a curved intermediate body portion defining an arc length. The source is positioned adjacent to the first end. A detector is positioned at the second end. The source is moveable along the arc length and relative to the detector to enable a plurality of images of the patient's anatomy to be acquired including a first image when the X-ray source is at a first position and a second image when the X-ray source is at a second position. The images being taken without moving the patient's anatomy. The C-arm assembly may include a motor and a belt drive system for moving the source relative to the detector.

There is provided a computer implemented method of automatic segmentation of three dimensional (3D) anatomical region of interest(s) (ROI) that includes predefined anatomical structure(s) of a target individual, comprising: receiving 3D images of a target individual, each including the predefined anatomical structure(s), each 3D image is based on a different respective imaging modality. In one implementation, each respective 3D image is inputted into a respective processing component of a multi-modal neural network, wherein each processing component independently computes a respective intermediate, and the intermediate outputs are inputted into a common last convolutional layer(s) for computing the indication of segmented 3D ROI(s). In another implementation, each respective 3D image is inputted into a respective encoding-contracting component a multi-modal neural network, wherein each encoding-contracting component independently computes a respective intermediate output. The intermediate outputs are inputted into a single common decoding-expanding component for computing the indication of segmented 3D ROI(s).

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.

Systems and method for automatically generating structures, such as target volumes, in a treatment image using structure-guided deformation to propagate the structures from a planning image onto the subsequently acquired treatment image.

A system and method for navigating to a target using fluoroscopic-based three dimensional volumetric data generated from two dimensional fluoroscopic images, including a catheter guide assembly including a sensor, an electromagnetic field generator, a fluoroscopic imaging device to acquire a fluoroscopic video of a target area about a plurality of angles relative to the target area, and a computing device. The computing device is configured to receive previously acquired CT data, determine the location of the sensor based on the electromagnetic field generated by the electromagnetic field generator, generate a three dimensional rendering of the target area based on the acquired fluoroscopic video, receive a selection of the catheter guide assembly in the generated three dimensional rendering, and register the generated three dimensional rendering of the target area with the previously acquired CT data to correct the position of the catheter guide assembly.

A medical navigation system including a controller configured to: generate a three-dimensional (3D) volume based upon acquired image information of a region of interest (ROI), determine a reference path (RP) to an object-of-interest (OOI) situated within the ROI, the RP defining an on-road path (ONP) through at least one natural pathway of an organ subject to cyclical motion and an adjacent off-road path (ORP) through tissue of the organ leading to the OOI, and an exit point situated between the ONP and the ORP, query an SSD within the at least one natural pathway to obtain SSDI, determine a shape and a pose of one or more portions of the SSD in accordance with the SSDI, calculate an error between the RP and the determined shape and pose of the SSD, and/or determine when or where to exit a wall of the natural pathway and begin the ORP based upon the calculated error.