Various methods and systems are provided for tracking a biopsy target across one or more images. In one example, a method includes determining a position of a biopsy target in a selected image of a patient based on an image registration process with a reference image of the patient, and displaying a graphical representation of the position of the biopsy target on the selected image.

Various methods and systems are provided for tracking a biopsy target across one or more images. In one example, a method includes determining a position of a biopsy target in a selected image of a patient based on an image registration process with a reference image of the patient, and displaying a graphical representation of the position of the biopsy target on the selected image.

A robotic catheter procedure system includes a bedside system and a workstation. The bedside system includes an actuating mechanism configured to engage and to impart movement to a percutaneous device. The workstation includes a user interface and a control system configured to be operatively coupled to the user interface, the bedside system, and a medical imaging system. The control system is responsive to a first input and to a second input, and the user interface receives the second input from a user. The control system is configured to generate a first control signal to the medical imaging system based on the first input, and the medical imaging system captures at least one image in response to the first control signal. The control system is configured to generate a second control signal to the actuating mechanism based on the second input, and the actuating mechanism causes movement of the percutaneous device in response to the second control signal. The first input is indicative of upcoming percutaneous device movement.

A robotic catheter procedure system includes a bedside system and a workstation. The bedside system includes an actuating mechanism configured to engage and to impart movement to a percutaneous device. The workstation includes a user interface and a control system configured to be operatively coupled to the user interface, the bedside system, and a medical imaging system. The control system is responsive to a first input and to a second input, and the user interface receives the second input from a user. The control system is configured to generate a first control signal to the medical imaging system based on the first input, and the medical imaging system captures at least one image in response to the first control signal. The control system is configured to generate a second control signal to the actuating mechanism based on the second input, and the actuating mechanism causes movement of the percutaneous device in response to the second control signal. The first input is indicative of upcoming percutaneous device movement.

Methods are provided for dynamically visualizing information in image data of an object of interest of a patient, which include an offline phase and an online phase. In the offline phase, first image data of the object of interest acquired with a contrast agent is obtained with an interventional device is present in the first image data. The first image data is used to generate a plurality of roadmaps of the object of interest. A plurality of reference locations of the device in the first image data is determined, wherein the plurality of reference locations correspond to the plurality of roadmaps. In the online phase, live image data of the object of interest acquired without a contrast agent is obtained with the device present in the live image data, and a roadmap is selected from the plurality of roadmaps. A location of the device in the live image data is determined. The reference location of the device corresponding to the selected roadmap and the location of the device in the live image data is used to transform the selected roadmap to generate a dynamic roadmap of the object of interest. A visual representation of the dynamic roadmap is overlaid on the live image data for display. In embodiments, the first image data of the offline phase covers different of phases of the cardiac cycle of the patient, and the plurality of roadmaps generated in the offline phase covers the different phases of the patient's cardiac cycle. Related systems and program storage devices are also described and claimed.

Apparatuses, systems, and methods for controlling the sampling of tissue using a guidewire. In an illustrative embodiment, an apparatus includes a handle, a flexible dual lumen catheter couplable to the handle, and a guidewire guide disposed at a distal end of the flexible dual lumen catheter.

A method of imaging includes obtaining a first image including projection data representing an intensity of X-rays detected by a plurality of detectors at a first X-ray exposure setting, the X-rays being emitted from an X-ray source; based on a detection result of a first object in the first image: determining a background region of interest (ROI) around the first object, the background ROI including background ROI pixels having a first intensity value corresponding to the intensity of the X-rays; and converting, for each pixel of the background ROI pixels, the first intensity values of the background ROI pixels to a normalized X-ray attenuation factor; and determining a second X-ray exposure setting for use in obtaining a second image based on the background ROI pixels converted to the normalized X-ray attenuation factor.

In an embodiment, a method (100) is described. The method comprises receiving (102) data corresponding to a plurality of radiographic imaging slices of a body. The method further comprises determining (104) a position of a needle inserted in the body. The determination is based on combining information from at least one of the radiographic imaging slices comprising an indication of a first portion of the needle outside the body and at least one other of the radiographic imaging slices comprising an indication of a second portion of the needle inside the body. A combined needle region is generated by merging data corresponding to a position of the first portion of the needle outside the body with data corresponding to a position of the second portion of the needle inside the body. The method further comprises generating (106) display data for providing a visual representation of the needle in an image of the body in combination with a visual representation of at least the first and second portions of the needle superimposed on the image. The image is in a plane that is digitally tilted with respect to a plane parallel to the plurality of radiographic imaging slices.

In an embodiment, a method (100) is described. The method comprises receiving (102) data corresponding to a plurality of radiographic imaging slices of a body. The method further comprises determining (104) a position of a needle inserted in the body. The determination is based on combining information from at least one of the radiographic imaging slices comprising an indication of a first portion of the needle outside the body and at least one other of the radiographic imaging slices comprising an indication of a second portion of the needle inside the body. A combined needle region is generated by merging data corresponding to a position of the first portion of the needle outside the body with data corresponding to a position of the second portion of the needle inside the body. The method further comprises generating (106) display data for providing a visual representation of the needle in an image of the body in combination with a visual representation of at least the first and second portions of the needle superimposed on the image. The image is in a plane that is digitally tilted with respect to a plane parallel to the plurality of radiographic imaging slices.

Systems and methods are provided for automated identification of vascular pathology in computed tomography images. A region of interest in a chest of a patient is imaged via a computed tomography scanner to provide an image. The region of interest includes at least one of the ascending aorta, the central pulmonary artery, the left and right pulmonary arteries, the lobar arteries extending from the left and right pulmonary arteries, the aortic arch, and the descending aorta of the patient. For each of a plurality of locations within the region of interest, a value representing a variation in radiodensity values for voxels within the location is determined from the image to provide a set of variation values. At a derived model, a parameter representing vascular pathology within the patient is determined from the set of variation values and provided to a user at an associated output device.