At least one vascular tree supplying at least a part of the hollow organ in the computed tomography dataset is segmented, and a tree structure up to an order possible based on the blood vessel segmentation result is determined from a blood vessel segmentation result. Perfusion information for each edge in the tree structure is assigned as at least one of the computed tomography data assigned to the blood vessel segment or at least one value derived therefrom. Adjacent hollow organ segments of the hollow organ are defined based on supply by adjacent blood vessels in the tree structure, and the tree structure and the perfusion information are analyzed to determine hemodynamic information to assign to hollow organ segments. At least a part of the hemodynamic information in at least one of the computed tomography dataset or a visualization dataset derived therefrom is then visualized.

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.

A non-transitory computer-readable storage medium stores a control program that causes a computer to perform first frame displaying. In the first frame displaying, the computer displays thumbnails of a series of frames next to each other on a display, the series of frames constituting a dynamic image of a subject or constituting a dynamic analysis image obtained by analyzing the dynamic image.

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.

A standard blood vessel generation device specifies, for each subject, a blood vessel region in which a blood vessel is depicted in an image, derives a feature line that connects feature points included in a plurality of figures included in the blood vessel region and that is along the blood vessel region, specifies a branch point on the feature line, disposes division points for line division on a line with a start point being one of two adjacent branch points and an end point being the other branch point, executes, for each set of division points having the same order counted from the start point in a plurality of the subjects, a process of calculating a statistic amount of coordinates for the set of the division points and setting a point whose coordinates are equal to the statistic amount as a standard point, and a process of setting a dimension of a predetermined site in the figure including the standard point and included in the blood vessel region as a standard diameter, and generates a standard blood vessel that is a blood vessel whose diameter at the standard point is the standard diameter and that is along a standard line connecting a plurality of the standard points.

A training method and apparatus for angiography image processing and a method and apparatus for automatically processing a vessel image. The training method includes obtaining training data that includes original angiography image data and local segmentation result data of a side branch vessel. The local segmentation result data of the side branch vessel are local segmentation image data of the side branch vessel on a main branch vessel determined from an original angiography image. A neural network is trained according to the obtained training data to make the neural network perform local segmentation on the side branch vessel on the determined main branch vessel in the original angiography image. The training method can obtain the neural network for performing local segmentation on the side branch vessel, thereby realizing improvement of segmentation accuracy while improving segmentation efficiency, and avoiding missing segmentation and wrong segmentation of the side branch vessel.

Imaging systems and methods for imaging assisted interventional procedure that receive images of a region of interest, that automatically detect in the images a contrast agent puff as it courses through the region of interest, and that generate a display including a video replay loop of contrast enhanced images based on the automatic detection of the contrast agent puff.

A processor searches for a first similar case from among a plurality of reference cases, each of the plurality of reference cases including at least one diagnosed image and a diagnosis log, the diagnosis log describing a treatment method performed on a diagnosed patient for whom the diagnosed image is acquired and a treatment result obtained by the treatment method, the first similar case having a similar feature to a target image obtained by imaging a treatment target patient who is to be treated, the first similar case including, as the diagnosed image, a post-treatment image obtained through imaging after treatment. The processor further searches for a second similar case from among the plurality of reference cases, the second similar case having a similar feature to the post-treatment image included in the first similar case. Further, the processor presents the treatment method and the treatment result described in a search diagnosis log that is the diagnosis log included in each of the first similar case and the second similar case.

An information processing device, an information processing method, and a non-transitory computer-readable medium are disclosed. The information processing device includes a processor configured to: acquire transverse tomographic images of a plurality of frames obtained by imaging a blood vessel of a patient, calculate plaque burden at each position of the blood vessel along an axial direction of the blood vessel based on the transverse tomographic images of the plurality of frames, divide a longitudinal cross section of the blood vessel into a first region in which the plaque burden is equal to or greater than a threshold and a second region in which the plaque burden is less than the threshold, and determine, in each of the regions obtained by the division, regions in which both ends of a treatment area of the blood vessel with a predetermined treatment device are to be located.

The disclosure relates generally to the field of vascular system and peripheral vascular system data collection, imaging, image processing and feature detection relating thereto. In part, the disclosure more specifically relates to methods for detecting position and size of contrast cloud in an x-ray image including with respect to a sequence of x-ray images during intravascular imaging. Methods of detecting and extracting metallic wires from x-ray images are also described herein such as guidewires used in coronary procedures. Further, methods for of registering vascular trees for one or more images, such as in sequences of x-ray images, are disclosed. In part, the disclosure relates to processing, tracking and registering angiography images and elements in such images. The registration can be performed relative to images from an intravascular imaging modality such as, for example, optical coherence tomography (OCT) or intravascular ultrasound (IVUS).