A method for determining an abnormality in a medical device from a medical image is provided. The method for determining an abnormality in a medical device comprises receiving a medical image, and detecting information on at least a part of a target medical device included in the received medical image.

An information processing device configured to: acquire a polar coordinate image, which is a medical image expressed in polar coordinates and obtained by imaging a biological lumen with a device configured to be inserted into the biological lumen, the polar coordinate image having a first axis representing an angle and a second axis intersecting the first axis and representing a distance from the device; input the polar coordinate image for a predetermined angle exceeding 360 degrees to a model trained, when the polar coordinate image is input, to output first segment data in which an image region corresponding to a specific object and another image region are classified, and output the first segment data for the predetermined angle; extract the first segment data for 360 degrees from the first segment data for the predetermined angle; and transform the extracted first segment data to second segment data expressed in rectangular coordinates.

The present invention relates to an image processing system (10), comprising: a processor unit (20) arranged to receive imaging data associated with an imaging system (40) and optical shape sensing data associated with an optical shape sensing system (50) registered with the imaging system (40) such that the optical shape sensing data can be positioned in the imaging system; wherein the processor unit (20) is configured to define in the imaging data a region of interest based on the imaging data and/or the optical shape sensing data and further configured to use the optical shape sensing data as markers within the region of interest such that the processor unit applies image enhancement of imaging data on the region of interest based on received optical shape sensing data.

A system and method for estimating a pose of an imaging device for one or more images is provided.

An image processing device is an image processing device configured to cause a display to display three-dimensional data as a three-dimensional image, the three-dimensional data representing a biological tissue. The image processing device includes: a control unit configured to detect a series of positions of a catheter inserted into the biological tissue from data obtained in time series by a sensor observing the surrounding of a lumen of the biological tissue while moving in the lumen, and to switch a display mode between a first mode for displaying a first figure representing the series of positions in the three-dimensional image, and a second mode for displaying a second figure representing one position among the series of positions in the three-dimensional image.

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.

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.

Systems and methods for image space control of a medical instrument are provided. In one example, a system is configured to display a two-dimensional medical image including a view of at least a distal end of an instrument. The system can determine, based on one or more fiducials on the instrument, a roll estimate of the instrument. The system further can receive a user input comprising a heading command to change a heading of the instrument within a plane of the medical image, or an incline command to change an incline of the instrument into or out of the plane of the medical image. Based on the roll estimate and the user input, the system can generate one or more motor commands configured to cause a robotic system coupled to the medical instrument to move the robotic medical instrument.

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.

A non-transitory computer-readable medium storing a computer program executed by a computer processor to execute a process including: acquiring a medical image generated based on a signal detected by a catheter inserted into a luminal organ; deriving determination information for determining whether to detect an object region from the medical image based on the acquired medical image; determining whether to detect an object region from the medical image based on the derived determination information; and detecting an object region included in the medical image by inputting the acquired medical image into a first model trained for detecting an object region included in the medical image when a medical image is input when the object region is determined to be detected from the medical image.