Generation of a Volume Image of an Elongated Examination Object
Simple SummaryContent extracted from patent full text and abstract with AI.
This invention relates to a tomography system that performs scans of elongated objects along different helix-shaped paths. It captures data from multiple scan trajectories, and individually these scan results are incomplete. By combining these incomplete datasets, the system generates a fused dataset that allows for the accurate reconstruction of detailed three- or four-dimensional volume images without certain image artifacts.
Use CasesContent extracted from patent full text and abstract with AI.
- Medical imaging for scanning long parts of the body, such as spine or limbs
- Industrial non-destructive testing of pipes, rods, or cables
- Veterinary imaging for animals with elongated bodies
- Geological or material research requiring high-resolution 3D scans of elongated samples
BenefitsContent extracted from patent full text and abstract with AI.
- Produces high-quality volume images from incomplete individual datasets
- Reduces or eliminates partial revolution artifacts in reconstructed images
- Enables accurate imaging of long or complex objects that may be challenging for conventional tomography
- Supports advanced diagnostic and research capabilities with reliable 3D or 4D spatial information
Technical Classifications (CPCs)
Main Classifications
Health, Food & Consumer Tech
Sub Classifications
Medical & Vet Science
CPC Codes
Inventors & Applicants
Applicants
Friedrich-alexander-universität Erlangen-nürnberg
Siemens Healthcare Gmbh
Patent Abstract
A tomography installation is configured to carry out a first scan along a first helix-segment-shaped trajectory section and to carry out a second scan along a second helix-segment-shaped trajectory section. A first data set is obtained during the first scan, and a second data set is obtained during the second scan. Taken by themselves in each case, both the first data set and the second data set are too incomplete for a reconstruction of a volume image without a partial revolution artifact. From the two data sets, a fused three- or four-dimensional data set is generated that is sufficiently complete for a reconstruction of a volume image without a partial revolution artifact.
Key Information
Publication No.
DE102015222589A1
Family ID
58640165
Publication Date
2017-05-18
Application No.
DE102015222589A
Application Date
2015-11-16
Priority Date
2015-11-16
Granted
Yes (2/5)
Possible Cooperation
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