One or more devices, systems, methods, and storage mediums using artificial intelligence application(s) using an apparatus or system that uses and/or controls one or more imaging modalities, such as, but not limited to, angiography, Optical Coherence Tomography (OCT), Multi-modality OCT, near-infrared fluorescence (NIRAF), OCT-NIRAF, etc. are provided herein. Examples of AI applications discussed herein, include, but are not limited to, using one or more of: AI coregistration, AI marker detection, deep or machine learning, computer vision or image recognition task(s), keypoint detection, feature extraction, model training, input data preparation techniques, input mapping to the model, post-processing, and/or interpretation of output data, one or more types of machine learning models (including, but not limited to, segmentation, regression, combining or repeating regression and/or segmentation), marker detection success rates, and/or coregistration success rates to improve or optimize marker detection and/or coregistration.

The invention relates to a visualization system (10) for visualizing an accuracy of an alignment of a position and shape of an instrument (33), which has been determined by a position and shape determination device (9), with an image of the instrument. The accuracy is determined for different regions of the instrument as defined by the position and shape and of the image, wherein among these regions at least one region is determined, in which the determined accuracy indicates that it is insufficient. A visualization is then generated in which the determined region is indicated on a representation of the position and shape and/or the image. This visualization guides a user's eyes to the region which should not be missed, while deciding whether, for instance, a navigation of the instrument during a subsequent interventional procedure should be based on this alignment, which in turn allows for an improved navigation accuracy.

A virtual stent placement apparatus, a virtual stent placement method, and a virtual stent placement program for preventing a stent from blocking a branch of a blood vessel in a case in which the stent is virtually placed in the blood vessel extracted from a medical image are disclosed.

Embodiments of the present disclosure include a system for determining an error associated with an electrode disposed on a medical device. The system comprises a processor and a memory storing instructions on a non-transitory computer-readable medium. The instructions are executable by the processor to receive an electrode signal from the electrode disposed on the medical device. The instructions are further executable by the processor to receive a plurality of other electrode signals from a plurality of other electrodes disposed on the medical device. The instructions are further executable by the processor to determine that the electrode signal received from the electrode disposed on the medical device is an outlier in relation to the plurality of other electrode signals from the plurality of other electrodes disposed on the medical device, based on a comparison between the electrode signal and the plurality of other electrode signals.

The disclosure relates, in part, to computer-based visualization of stent position within a blood vessel. A stent can be visualized using intravascular data and subsequently displayed as stent struts or portions of a stent as a part of a one or more graphic user interface(s) (GUI). In one embodiment, the method includes steps to distinguish stented region(s) from background noise using an amalgamation of angular stent strut information for a given neighborhood of frames. The GUI can include views of a blood vessel generated using distance measurements and demarcating the actual stented region(s), which provides visualization of the stented region. The disclosure also relates to display of intravascular diagnostic information such as indicators. An indicator can be generated and displayed with images generated using an intravascular data collection system. The indicators can include one or more viewable graphical elements suitable for indicating diagnostic information such as stent information.

Various methods and systems are provided for x-ray imaging. In one embodiment, a method includes acquiring a plurality of fluoroscopic images depicting an interventional tool positioned relative to an anatomy of interest of a patient, segmenting the interventional tool in the plurality of fluoroscopic images, measuring motion of the patient in the plurality of fluoroscopic images, correcting the plurality of fluoroscopic images to remove the motion of the patient, registering the segmented interventional tool to the anatomy of interest in the corrected plurality of fluoroscopic images, and displaying images with the segmented interventional tool registered to the anatomy of interest. In this way, a practitioner may view the position and movement of an interventional tool located within a patient relative to static images of the anatomy without motion artifacts or errors induced by patient motion such as respiratory motion or cardiac motion.

A marker-coordinate detecting unit detects coordinates of a stent marker on a new image when the new image is stored in an image-data storage unit; and then a correction-image creating unit creates a correction image from the new image through, for example, image transformation processing, so as to match up the detected coordinates with reference coordinates that are coordinates of the stent marker already detected by the marker-coordinate detecting unit in a first frame. An image post-processing unit then creates an image for display by performing post-processing on the correction image created by the correction-image creating unit, the post-processing including high-frequency noise reduction filtering-processing, low-frequency component removal filtering-processing, and logarithmic-image creating processing; and then a system control unit performs control of displaying a moving image of an enlarged image of a set region that is set in the image for display, together with an original image.

In part, the disclosure relates to an automated method of branch detection with regard to a blood vessel imaged using an intravascular modality such as OCT, IVUS, or other imaging modalities. In one embodiment, a representation of A-lines and frames generated using an intravascular imaging system is used to identify candidate branches of a blood vessel. One or more operators such as filters can be applied to remove false positives associated with other detections.

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).

A medical system includes an instrument, a display system, and a processing unit. The instrument includes an instrument shape sensor. The processing unit includes one or more processors. The processing unit is configured to, receive an anatomic model of a patient anatomy, receive shape sensor data from the instrument shape sensor while the instrument is positioned within the patient anatomy and registered to the anatomic model, determine a preferred fluoroscopic image plane for display on the display system based on the received shape sensor data and the area of interest, and provide an indication on the display system to guide positioning of a fluoroscopy system to obtain a fluoroscopic image in the preferred fluoroscopic image plane. An area of interest is identified in the anatomic model.