Motion Compensation for CT Image Segmentation
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Solution Overview
Problem
Computed Tomography (CT) images often suffer from motion-induced artifacts due to the movement of small features during data acquisition, which distorts images and complicates segmentation tasks such as vessel detection and tracking.
Innovation Solution
A method and system that identifies locations of motion within an image volume, estimates and corrects motion artifacts prior to segmentation, generating a final motion-compensated image for accurate feature segmentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion compensation is applied to correct motion artifacts, then image quality and segmentation accuracy are improved, but device complexity and processing time increase
Solution Approach 1:
The patent applies motion compensation before segmentation by detecting motion artifacts in the original image, estimating motion vectors, and generating a motion-compensated image that is then used for segmentation. This preliminary correction of motion artifacts improves segmentation accuracy without requiring complex modifications to the segmentation algorithm itself.
Solution Approach 2:
The patent introduces a motion compensation module as an intermediary between image acquisition and segmentation. This module detects motion artifacts, estimates motion parameters, and generates corrected images, serving as a bridge that improves overall system performance without directly complicating the segmentation process.
2Reliability
If motion compensation processing is performed, then diagnostic accuracy is improved, but processing time increases
Solution Approach 1:
The motion compensation is performed as a preliminary step before segmentation, allowing the system to correct motion artifacts once and then proceed with segmentation on the already-corrected image. This approach improves diagnostic accuracy while avoiding repeated processing iterations.
Solution Approach 2:
The patent estimates motion parameters (such as motion vectors and displacement) from the detected motion artifacts and uses these parameters to correct the image. By changing the image parameters based on estimated motion, the system efficiently reduces artifacts without requiring extensive processing time.
Data Source
AI summary
According to some embodiments, system and methods are provided comprising determining one or more image locations at which motion occurred within an image volume of an object containing movable anatomical features prior to segmenting the movable anatomical features; estimating motion at each of the one or more image locations; correcting one or more motion artifacts in the image volume at each of the one or more image locations, where motion was estimated resulting in the generation of a final motion compensated image; and segmenting one or more features of interest in the final motion compensated image. Numerous other aspects are provided.