G06T2207/30021

Computer assisted identification of appropriate anatomical structure for medical device placement during a surgical procedure

A method for computer assisted identification of appropriate anatomical structure for placement of a medical device, comprising: receiving a 3D scan volume comprising set of medical scan images of a region of an anatomical structure where the medical device is to be placed; automatically processing the set of medical scan images to perform automatic segmentation of the anatomical structure; automatically determining a subsection of the 3D scan volume as a 3D ROI by combining the raw medical scan images and the obtained segmentation data; automatically processing the ROI to determine the preferred 3D position and orientation of the medical device to be placed with respect to the anatomical structure by identifying landmarks within the anatomical structure with a pre-trained prediction neural network; automatically determining the preferred 3D position and orientation of the medical device to be placed with respect to the 3D scan volume of the anatomical structure.

COMPUTER ASSISTED IDENTIFICATION OF APPROPRIATE ANATOMICAL STRUCTURE FOR MEDICAL DEVICE PLACEMENT DURING A SURGICAL PROCEDURE

A method for computer assisted identification of appropriate anatomical structure for placement of a medical device, comprising: receiving a 3D scan volume comprising set of medical scan images of a region of an anatomical structure where the medical device is to be placed; automatically processing the set of medical scan images to perform automatic segmentation of the anatomical structure; automatically determining a subsection of the 3D scan volume as a 3D ROI by combining the raw medical scan images and the obtained segmentation data; automatically processing the ROI to determine the preferred 3D position and orientation of the medical device to be placed with respect to the anatomical structure by identifying landmarks within the anatomical structure with a pre-trained prediction neural network; automatically determining the preferred 3D position and orientation of the medical device to be placed with respect to the 3D scan volume of the anatomical structure.

IMAGE PROCESSING APPARATUS AND X-RAY DIAGNOSIS APPARATUS

An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry detects the position of an object included in each of sequentially generated X-ray images. The processing circuitry generate corrected images by a correction process to substantially match, with a reference position, the detected position of the object in a X-ray image generated after a reference X-ray image, the reference position being the detected position in the reference X-ray image. The processing circuitry determines an addition condition of each region of a sequentially generated corrected image. The processing circuitry causes a display to display an added image to which a corrected image is added in accordance with the determined addition condition.

OBJECT IDENTIFICATION

Apparatus and methods are described including, using a computer processor (28), automatically identifying whether a given pixel (111) within an image corresponds to a portion of an object. A set of concentric circles (132a-c) that are disposed around the pixel are sampled, and a first function is applied to each of the circles such that the circles are defined by a first set of rotationally invariant descriptors. A second function is applied to the set of circles to generate a second set of descriptors, each of which represents a difference between respective pairs of the circles. A third function is applied such that the second set of descriptors becomes rotationally invariant. The processor identifies whether the given pixel corresponds to the portion of the object, based upon the first and second sets of rotationally invariant descriptors. Other applications are also described.

IMAGE PROCESSING APPARATUS AND X-RAY DIAGNOSIS APPARATUS

An image processing apparatus includes a processing circuitry configured: to generate an enhanced image in which an object is enhanced from each of sequentially-generated X-ray images; to detect the position of the object included in each of the generated enhanced images; to determine, while using the position of the object detected from a specific one of the enhanced images as a reference position, processing details of a correcting process performed to arrange the detected position of the object to match the reference position, with respect to each of the enhanced images generated after the specific enhanced image; to sequentially generate corrected images by performing the correcting processes according to the processing details determined for each of the enhanced images, on the X-ray images from which the enhanced images were generated; and to cause a display to display the sequentially-generated corrected images as a moving picture.

METHOD AND SYSTEM FOR PROCESSING AN IMAGE FRAME SHOWING A BIODEGRADABLE MEDICAL DEVICE IN A PART OF A HUMAN BODY

The invention provides solutions to process an image frame showing a biodegradable medical device in a part of a human body by the steps of presenting, with the processor, an interactive interface for human-computer interaction, receiving a designation of a specific model type of the biodegradable medical device from a user via the interactive interface, and identifying, with the processor, a plurality of markers of the biodegradable medical device based on specifications of the model type of the biodegradable medical device.

Method, Apparatus, and System to Identify Branches of a Blood Vessel
20170301084 · 2017-10-19 · ·

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.

MEDICAL IMAGE DIAGNOSIS APPARATUS, MEDICAL INFORMATION PROCESSING APPARATUS AND MEDICAL INFORMATION PROCESSING METHOD

A medical image diagnosis apparatus for use in a therapeutic procedure to a subject includes processing circuitry. The processing circuitry is configured to determine a status of a current therapeutic procedure; determine at least one proposed preset of settings of the medical image diagnosis apparatus according to the status of the current therapeutic procedure; and perform a control in accordance with the at least one proposed preset.

ULTRASOUND DIAGNOSIS APPARATUS AND IMAGE PROCESSING METHOD

An ultrasound diagnosis apparatus includes processing circuitry. The processing circuitry obtains three-dimensional medical image data, taken by using an ultrasound probe, of a region including a heart valve of a patient and a catheter inserted into a heart chamber of the patient. The processing circuitry determines an advancing direction of a tip end part of the catheter by obtaining information on a position and a posture of the tip end part included in the three-dimensional medical image data, by using at least one selected from shape information indicating the shape of the tip end part and reflection characteristic information indicating ultrasound reflection characteristics of the tip end part. The processing circuitry generates a display image from the three-dimensional medical image data in accordance with the position and the advancing direction of the tip end part. The processing circuitry causes the display image to be displayed.

Medical X-ray devices and methods for operating medical X-ray devices
11244433 · 2022-02-08 · ·

Methods are provided for operating a medical X-ray device to improve the image quality of an X-ray examination. In one example, the method includes recording at least one first X-ray image of a body region as a mask image; providing a first subsequent image and recording a second X-ray image of the body region, wherein the second X-ray image represents the body region at a later recording time than the first subsequent image; determining a degree of deviation relating to a deviation between the first subsequent image and the second X-ray image; determining an averaging amount in dependence on the degree of deviation; generating a second subsequent image from the second X-ray image or from the first subsequent image together with the second X-ray image, wherein the averaging amount specifies the proportions in which the first subsequent image and the second X-ray image are mixed; and forming an overall image from the mask image and the second subsequent image.