Method for Deformation Correction

Publication: DE102020201928A1
Published: 2021-08-12
Family Size: 3
Granted: Yes (1/3)

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

This invention describes a method for correcting deformations when overlaying preoperative 3D medical images with new real-time images during a procedure. It involves segmenting anatomical structures from preoperative scans, matching them with current image data (even in the presence of medical instruments), determining discrepancies between images, and calculating rules to adjust for deformations. The corrected images are then displayed for medical professionals, improving image accuracy during interventions.

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

  • Image-guided surgeries, such as neurosurgery or orthopedics, for precise navigation using updated, corrected medical images
  • Assisting minimally invasive procedures where accurate overlay of preoperative imaging is required
  • Improving accuracy in biopsies or tumor resections by accounting for anatomical changes or movements
  • Training medical professionals using precise, real-time matched imaging data

BenefitsContent extracted from patent full text and abstract with AI.

  • Enhances precision during medical procedures by compensating for anatomical deformations or patient movement
  • Reduces risks associated with relying on outdated or misaligned imaging data
  • Supports better decision-making during surgeries with more accurate overlays
  • Can improve patient outcomes due to increased accuracy of interventions
  • Facilitates complex procedures where anatomical structures may shift during the operation

Technical Classifications (CPCs)

Main Classifications

Physics & Measurement

Sub Classifications

Computing & Calculating

CPC Codes

G06T3/14G06T5/80G06T7/12G06T7/149G06T7/337

Inventors & Applicants

Applicants

Univ Friedrich Alexander Er

Siemens Healthcare Gmbh

Patent Abstract

A method for deformation correction includes receiving a preoperative 3D image data set from an examination region of an examination object, generating a segmented 3D image data set by segmenting an anatomical structure in the preoperative 3D image data set, and acquiring image data from the examination region. A medical object is arranged in the examination region. The medical object is identified in the image data, and the segmented 3D image data set is registered with the image data. An overlay data set is generated and displayed based on the segmented 3D image data set and the image data. A position of a deviation between the image data and the segmented 3D image data set is defined, and a deformation rule is determined for the reduction of the deviation between the image data and the segmented 3D image data set. The corrected overlay data set is generated and provided.

Key Information

Publication No.

DE102020201928A1

Family ID

76968562

Publication Date

2021-08-12

Application No.

DE102020201928A

Application Date

2020-02-17

Priority Date

2020-02-07

Granted

Yes (1/3)

Possible Cooperation

For further information please contact the transfer office.