Siemens Healthineers Ag

Siemens Healthcare Gmbh

Axel Joachim Krafft

Himanshu Bhat

Florian Maier

David Grodzki

Waqas Majeed

Dirk Franger

Manuel Schneider

Ralf Vogel

The disclosure relates to an extended-reality device having an interface, a computing unit, and a user interface. The extended-reality device may be configured to capture, using the interface, a procedure of an imaging examination using an imaging apparatus. The computing unit may be configured to determine information concerning the procedure of the imaging examination and to provide said information to a user of the extended-reality device using the user interface. The disclosure further relates to a system including an imaging apparatus with an extended-reality device, and to a method for providing information concerning a procedure of an imaging examination using the system.

Apparatus, system and method for supporting a procedure of an imaging examination

Techniques are provided for operating an MR scanner that comprises gradient coils configured to generate a field gradient along coordinate axes of a coil coordinate system. The techniques include receiving limit values concerning the field gradient in the coil coordinate system and an MR scan protocol. Expected orientations of a logical coordinate system are then determined and, for each one, a compliant value for a timing parameter is determined and stored in a database. The MR scanner is controlled to carry out an MR scan, and afterwards the orientation is set to a first orientation. A first value for the timing parameter according to the first orientation is determined based on the data stored in the database, and the MR scanner is controlled to carry out a scan sequence according to the first orientation and the first value.

Magnetic resonance imaging using a database of timing parameters

Embodiments provide a computer-implemented method for selecting thermal images for generating a temperature difference map through proton resonance frequency (PRF) thermometry, including: acquiring a set of baseline images prior to a thermal treatment of an organ of interest; identifying a subset of baseline images in a most stable motion state from the set of baseline images; averaging the subset of baseline images to generate a template image; determining an acceptance threshold based on an image similarity measure (ISM) between each of the set of baseline images and the template image; acquiring a set of thermal images during the thermal treatment; and selecting a subset of thermal images from the set of thermal images, wherein each of the subset of thermal images has the image similarity measure above the acceptance threshold.

Image-based retrospective gating of MR images for PRF thermometry

Growing community of inventors

Hemhofen, Germany

Axel Joachim Krafft