Method for 2D-3D Registration, Computing Device and Computer Program

Simple SummaryContent extracted from patent full text and abstract with AI.

This patent describes a method and a computing system for aligning two-dimensional (2D) x-ray images with three-dimensional (3D) medical imaging data. By analyzing gradients and contour points in both 2D and 3D images, the invention optimizes registration and detects precise movements or displacements in a target region, allowing for accurate mapping between 2D and 3D images.

Use CasesContent extracted from patent full text and abstract with AI.

• Image-guided surgery, where accurate registration of live x-ray images with preoperative 3D scans is essential
• Radiotherapy planning, to ensure that patient positioning derived from x-ray images matches the 3D anatomical plan
• Medical diagnostics, for fusing real-time x-ray and CT/MRI images for improved evaluation
• Robotic-assisted interventions, enabling real-time image registration to guide precise actions
• Orthopedic or dental implant placement with enhanced 2D-3D image correspondence

BenefitsContent extracted from patent full text and abstract with AI.

• Enables highly accurate mapping between 2D x-ray and 3D imaging data
• Improves precision of interventions and treatments that rely on image fusion
• Allows for compensation of patient movement or shifting between scans
• Reduces the risk of errors during procedures that depend on imaging guidance
• Supports automation and real-time updating in medical imaging workflows

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Patent Abstract

A method includes, following specification of an initial transformation as a test transformation that is to be optimized, determining a 2D gradient x-ray image and a 3D gradient dataset of the image dataset, carrying out, for each image element of the gradient comparison image, a check for selection as a contour point, and determining an environment best corresponding to a local environment of the contour point and extending around a comparison point in the gradient x-ray image for all contour points in the at least one gradient comparison image. Local 2D displacement information is determined by comparing the contour points with the associated comparison points, and motion parameters of a 3D motion model describing a movement of the target region between the acquisition of the image dataset and the x-ray image are determined from the displacement information and a registration transformation describing the registration.