Method for Deformation Correction
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- Reduces risks associated with relying on outdated or misaligned imaging data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
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
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