Siemens Healthcare GmbH patent applications published on March 21st, 2024

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Summary of the patent applications from Siemens Healthcare GmbH on March 21st, 2024

Siemens Healthcare GmbH has recently filed patents related to medical imaging technologies. These patents include methods for pre-training machine-learning models using contrast-enhanced medical imaging data to predict time-related and semantic context information, as well as a method for reducing radiation exposure in digital subtraction angiography by generating virtual mask images.

Summary in bullet points:

  • Pre-training machine-learning models for predicting time-related and semantic context information from contrast-enhanced medical imaging data.
  • Reducing radiation exposure in digital subtraction angiography through virtual mask image generation.

Notable applications:

  • Improved accuracy and efficiency in analyzing contrast-enhanced medical images.
  • Enhanced diagnostic capabilities in medical imaging.
  • Safer and more efficient imaging services in hospitals, clinics, and imaging centers.



Patent applications for Siemens Healthcare GmbH on March 21st, 2024

Anatomy Masking for MRI (18369245)

Main Inventor

Andreas Greiser


POSITION DETERMINATION SYSTEM, MEDICAL IMAGING SYSTEM, METHOD FOR POSITION DETERMINATION AND REFERENCE ARRANGEMENT (18460876)

Main Inventor

Johann SUKKAU


METHOD FOR PROVIDING A COLLISION MODEL AND SYSTEM (18370377)

Main Inventor

Marcus Pfister


DENTAL COIL FOR A MAGNETIC RESONANCE SYSTEM (18255410)

Main Inventor

Stephan Biber


METHODS FOR TRANSMISSION OF MEDICAL DATASETS (18467118)

Main Inventor

Milan WUTTE


METHOD FOR GENERATING A VIRTUAL MASK IMAGE AND ANGIOGRAPHY APPARATUS (18369151)

Main Inventor

Michael Manhart


MEDICAL IMAGING DATA NORMALIZATION FOR ANIMAL STUDIES (17932311)

Main Inventor

Bernhard Geiger


METHOD FOR IDENTIFYING A CHANGE IN TRUNCATION, CONTROL FACILITY, CT APPARATUS, COMPUTER PROGRAM AND ELECTRONICALLY READABLE DATA CARRIER (18368329)

Main Inventor

Alois Regensburger


BUILDING A MACHINE-LEARNING MODEL TO PREDICT SEMANTIC CONTEXT INFORMATION FOR CONTRAST-ENHANCED MEDICAL IMAGING MEASUREMENTS (18470171)

Main Inventor

Martin KRAUS