11 results about "Anatomical measurement" patented technology

This invention provides a system and method for determining the specifications of a left atrial appendage closure device based on two-dimensional (2D) intracardiac echocardiography (ICE). [Solution] In imaging procedures, 2D-ICE is used to acquire images of the patient's left atrium. A model of the left atrium is generated from the images of the left atrium. The model of the left atrium is used to validate subsequent imaging of the patient's left atrial appendage. Anatomical measurements from the validated subsequent imaging are used to select or identify a left atrial appendage closure device, for example, for the treatment of atrial fibrillation patients.

Surgical planning based on a three-dimensional (3D) model includes obtaining a 3D model of an anatomical region, wherein the anatomical region includes the patient's anatomical features; identifying at least one deformity, wherein the at least one deformity is identified with respect to a target anatomical value of the patient's anatomical features, wherein the target anatomical value includes a desired range into which the anatomical measurement should fall; and using the anatomical measurement, determining at least one planar correction to be made to at least one anatomical structure of the patient. Generating a 3D model using two-dimensional (2D) imaging data may include performing anatomical context processing, which includes annotating the model, contours, edges, or surfaces of the anatomical structure, as well as performing 2D-to-3D reconstruction to optimize the orientation, placement, and scale of the 3D digital volume modeling the anatomical structure, resulting in a 3D anatomical representation of the anatomical region as a 3D model.

Left atrial appendage occlusion device specifications from 2D ICE for use in the treatment of atrial fibrillation patients. Systems and methods for left atrial appendage occlusion device specification from two-dimensional (2D) intracardiac echo imaging (ICE). In the imaging procedure, the 2D ICE is used to acquire an image of the patient's left atrium. A model of the left atrium is generated from the image of the left atrium. The model of the left atrium is used to validate subsequent imaging of the left atrial appendage of the patient. Anatomical measurements from validated subsequent imaging may be used to select or specify a left atrial appendage occlusion device in order, for example, to treat atrial fibrillation patients.

A computer-implemented method for creating an activity-optimized cutting guides for surgical procedures includes receiving one or more pre-operative images depicting one or more anatomical joints of a patient, and creating a three-dimensional anatomical model of the one or more anatomical joints based on the one or more pre-operative images. One or more patient-specific anatomical measurements are determined based on the three-dimensional anatomical model. A statistical model of joint performance is applied to the patient-specific anatomical measurements to identify one or more cut angles for performing a surgical procedure. A patient-specific cutting guide is created that comprises one or more apertures positioned based on the one or more cut angles.

Systems and methods for evaluating a proposed valve-in-valve procedure for a patient in which a replacement transcatheter aortic valve will be deployed within a first bioprosthetic aortic valve. The methods include selecting predetermined benchmark measurements of a valve-in-valve combination. Images of anatomy of the patient are received. Anatomical measurements of the first bioprosthetic valve are obtained from the received images. The predetermined benchmark measurements and the anatomical measurements are reviewed. Based, at least in part, upon the review, risks of a valve-in-valve procedure for the patient are evaluated. The methods of the present disclosure can be used on baseline scans of a patient without a first bioprosthetic valve implanted; under these circumstances, dimensions of the first valve are determined by benchmark measurements. Where methods of the present disclosure are used on post-first implant scans, then the dimensions of the first valve are determined from the post-implant scans.

An anatomy visualization device may include a display, an optical sensor, and processing circuitry. The processing circuitry may be configured to capture, via the optical sensor, body registration points on a body of an individual, receive external anatomical measurements of the body, apply the external anatomical measurements to a body shape model, and determine an organ placement prediction for the body based on the application of external anatomical measurements to the body shape model. The organ placement prediction may include organ position information, organ size information, and organ shape information for a plurality of organs. The processing circuitry may also align the organ placement prediction with the body registration points and render, on the display, the organ placement prediction in alignment with the body registration points as an augmented reality object on the body.

The utility model discloses a measuring tool for determining an anatomical measuring point, relates to the technical field of measuring tools, and aims to solve the problems that a sliding block is easy to slide, the position is unstable and measuring errors are easy to generate in the anatomical measuring process in the prior art. A strip-shaped sliding groove is formed in the front end of the interior of the measuring plate, main alignment points are symmetrically arranged in the measuring plate along the two sides of the strip-shaped sliding groove respectively, main scale marks are symmetrically arranged on the front end face of the measuring plate along the upper portion and the lower portion of the strip-shaped sliding groove respectively, and a sliding plate is arranged at the front end of the strip-shaped sliding groove of the measuring plate. A sliding block is arranged in the strip-shaped sliding groove of the measuring plate, the sliding block is fixedly connected with the sliding plate, a stabilizing mechanism is arranged in the sliding block, and the stabilizing mechanism comprises a straight rod, a springing plate, a compression spring, a mounting plate and a pressing rod.

A sports helmet kit has a shell, attachable face guard, composite helmet liner, and fit pods to improve and customize the fit of the helmet to the wearer. The composite liner consists of a base liner and a selected group of fit elements, for example, fit pods, removably attached to the inner surface of the base liner (i.e., the surface of the base liner facing the wearer's head). The fit pods are selected from a set of fit pods having different properties, for example, different sizes, thicknesses, densities, and cross-sections. The selection of fit pods from the set may be aided by taking anatomical measurements of the wearer's head and analyzing the measurements with respect to the geometry of the helmet to produce a pressure map. The measurements may be taken by physical contact or by non-contact means. The fit pods may be selected to optimize a pressure map, and thus optimize the fit, for a given wearer of the helmet.

For anatomy measurement in a surgical system, a machine-learned model is used to determine the location or length. For example, in RYGB, the machine-learned model indicates how much of the bowel has been pulled or run. As another RYGB example, the machine-learned model indicates a length along the bowel to a current location. In yet another RYGB example, the machine-learned model indicates a location for incision based on a desired length. Using an image or images, such as a video stream from an endoscope, the artificial intelligence provides the measurement, avoiding running with estimated steps size or use an inserted ruler.

Image-guided navigation for spinal cord treatments and therapies are described. The image-guided navigation is augmented with anatomical measurement data related to spinal cord and vertebral anatomy. From these data and medical image data, an augmented model of spinal cord anatomy is generated and / or navigation data can be generated for localizing spinal cord structures, such as by mapping the anatomical measurement data to the medical image data. The augmented model data and / or navigation data can be used for surgical navigation, stimulation parameter setting, electrode configuration selection, pre-surgical planning, surgical visualization, and so on.

Systems and methods for left atrial appendage closure device specification from two dimensional (2D) Intracardiac Echo imaging (ICE). In an imaging procedure, 2D ICE is used to acquire images of the left atrium of a patient. A model of the left atrium is generated from the images of the left atrium. The model of the left atrium is used to validate subsequent imaging of the left atrial appendage of the patient. Anatomical measurements from the validated subsequent imaging may be used to select or specify a left atrial appendage closure device in order to, for example, treat atrial fibrillation patients.