Siemens Healthcare Gmbh

Siemens Aktiengesellschaft

Jian Min Wang

Anja Borsdorf

Roman Schaffert

Stephan Biber

Hai Jun Wang

Benno Heigl

Zeng He He

Li Ma

Markus Weiss

The disclosure relates to a computer-implemented method for the provision of a transformation instruction for registering a 2D image with a 3D image. The method includes: receiving the 2D image and the 3D image; generating input data based on the 2D image having contour pixels and the 3D image having contour voxels; applying a trained function to the input data for identification of contour pixels of the 2D image and contour voxels of the 3D image, wherein at least one parameter of the trained function is adjusted based on a comparison of training contour pixels with comparison contour pixels and a comparison of training contour voxels corresponding thereto with comparison contour voxels; determining the transformation instruction based on the identified contour pixels of the 2D image and the contour voxels corresponding thereto of the 3D image for registering the 2D image with the 3D image; and providing the transformation instruction.

Registering a two-dimensional image with a three-dimensional image

A method for determining or updating a registration between a 3D image of a region of interest and a set of at least two 2D images of the same region of interest includes selecting at least one respective contour point in the 3D image for each 2D image. A 2D position of a respective depiction of each contour point is determined in the respective 2D image. At least one condition for the registration parameters that needs to be fulfilled is determined, for each contour point, to map the respective contour point to the respective 2D position in the respective 2D image. An updated set of registration parameters is determined by solving a set of equations or an optimization problem that depends on the conditions.

Determining a registration between a 3D image and a set of at least two 2D images

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.

2D/3D registration

A method for registering a three-dimensional image data record of a target region of a patient with a two-dimensional x-ray image is provided. The method includes selecting at least one rigid reference structure with an associated contour; establishing a two-dimensional gradient x-ray image and a three-dimensional gradient data record of the image data record; finding a neighborhood in the gradient x-ray image from a plurality of neighborhoods extending about test points for a plurality of contour points; establishing local two-dimensional displacement information by comparison of the contour points with the associated comparison points; establishing movement parameters of a three-dimensional movement model describing a movement of the target region between recording of the image data record and the x-ray image from the local two-dimensional displacement information; and establishing a registration transformation describing the registration by correcting the test transformation based on the movement parameters.

Method for 2D/3D registration, computational apparatus, and computer program

Methods for updating a 2D/3D registration between a three-dimensional image data set corresponding to a target area subjected to a movement and a plurality of two-dimensional projection images of the target area include: selecting a plurality of contour points along a contour, the contour being visible in a first projection image and a three-dimensional image data set registered therewith, the plurality of contour points being associated with a rigid object in the target area; determining a displacement of each contour point of the plurality of contour points between the first projection image and a successively captured second projection image; obtaining movement information for each contour point of the plurality of contour points based on the determined displacement, the movement information describing a movement of the rigid object; and updating the registration based on the obtained movement information.

Methods for updating 2D/3D registration on movement and computing device

In a method for acquiring magnetic resonance signals from a first shoulder or an opposite second shoulder of a patient, a shoulder coil anterior part and a shoulder coil posterior part are provided. A base plate is engageable with a moveable support element connecting the shoulder coil posterior part to the base plate to permit lateral movement and 90 degree rotation of the shoulder coil posterior part. With the base plate beneath the patient, the shoulder coil posterior part is placed below the first shoulder and the shoulder coil anterior part is placed above the first shoulder to permit acquisition of magnetic resonance measurements. To acquire signals from the opposite second shoulder, the shoulder coil posterior part is moved across the base plate to be positioned beneath the second shoulder and is rotated by 90 degrees. The shoulder coil anterior part is placed above the rotated shoulder coil posterior part.

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Shenzhen, Germany

Jian Min Wang