Attenuation correction based weighting for tomographic inconsistency detection
By enhancing the linear attenuation coefficient mapping and attenuation correction techniques within the ROI, the image blurring problem caused by inconsistencies in tomographic imaging in nuclear imaging systems was resolved, improving image quality and reconstruction accuracy within the ROI.
CN115774281BActive Publication Date: 2026-07-07SIEMENS MEDICAL SOLUTIONS USA INC
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SIEMENS MEDICAL SOLUTIONS USA INC
- Filing Date
- 2022-09-08
- Publication Date
- 2026-07-07
AI Technical Summary
Technical Problem
Existing nuclear imaging systems suffer from image blurring when dealing with tomographic inconsistencies, particularly in the brain, abdomen, chest, and heart regions. Current techniques struggle to effectively correct inconsistencies caused by motion within the region of interest.
Method used
By using ROI-enhanced linear attenuation coefficient mapping, the brightness of voxels in the region of interest (ROI) is enhanced, and components are identified and corrected through attenuation correction and inconsistency determination, thus reconstructing high-quality images.
Benefits of technology
It improves image quality within the region of interest, reduces the impact of inconsistency correction on the actual ROI, and achieves more accurate image reconstruction.
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Smart Images
Figure CN115774281B_ABST
Abstract
A system and method includes determining a region of interest of an imaged object, generating a first linear attenuation coefficient map of the imaged object, the first linear attenuation coefficient map being generated to associate voxels of the region of interest of the imaged object with a greater linear attenuation coefficient than voxels of other regions of the imaged object, attenuation correcting a plurality of tomographic frames of the imaged object based on the first linear attenuation coefficient map to generate a second plurality of tomographic frames, and determining a tomographic inconsistency of the second plurality of tomographic frames. Some aspects further include generating a second linear attenuation coefficient map of the imaged object, attenuation correcting the plurality of tomographic frames based on the second linear attenuation coefficient map to generate a third plurality of tomographic frames, and reconstructing a three-dimensional image based on the third plurality of tomographic frames and the determined tomographic inconsistency.
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