CT Image Artifact Removal via Truncated Region Segmentation
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Solution Overview
Problem
Conventional CT image reconstruction methods struggle to effectively remove artifacts caused by objects in truncated regions outside the scan field of view, leading to incomplete diagnostic images.
Innovation Solution
A CT image generating method that acquires projection measurement data, reconstructs initial scan images including both main and truncated region images, and performs artifact removal reconstruction specifically on slice images with substances causing artifacts in the truncated regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If artifact removal reconstruction is performed based on main region image only, then processing complexity is reduced, but artifact removal effectiveness deteriorates when objects are present in truncated regions
Solution Approach 1:
The patent segments the image into main region and truncated region, and separately processes each region. The truncated region image is reconstructed and processed independently to detect objects, and then this detection information is used to guide artifact removal in the main region image. This segmentation allows targeted processing without requiring complex full-image analysis.
Solution Approach 2:
The patent performs preliminary reconstruction of the truncated region image to detect objects before performing artifact removal reconstruction on the main region image. This preliminary action of detecting objects in the truncated region enables the system to activate artifact removal algorithms only when necessary, improving effectiveness without always increasing complexity.
2Reliability
If truncated region image is reconstructed and processed, then artifact removal effectiveness is improved, but processing time and computational load increase
Solution Approach 1:
The patent applies partial action by only processing the truncated region image for object detection purposes, rather than fully reconstructing and processing the entire image. The system reconstructs the truncated region image just enough to detect objects, then uses this partial information to guide artifact removal in the main region, avoiding unnecessary full-image processing.
Solution Approach 2:
The truncated region image serves as an intermediary that provides object detection information without requiring full diagnostic processing. This intermediary structure allows the system to obtain necessary detection data from the truncated region while avoiding the time cost of complete reconstruction and analysis of the entire image volume.
3Productivity
If only main region image is reconstructed, then processing speed is improved, but diagnostic completeness deteriorates when objects are in truncated regions
Solution Approach 1:
The patent segments the imaging task into two parts: rapid reconstruction of the main region image for immediate diagnostic review, and separate reconstruction/processing of the truncated region image for object detection. This segmentation maintains fast processing of the primary diagnostic area while separately handling the truncated region to prevent information loss.
Solution Approach 2:
The system performs preliminary reconstruction of the truncated region image to detect objects that might cause artifacts, before finalizing the main region image processing. This preliminary action ensures that no diagnostic information is lost due to undetected objects in the truncated region, while maintaining overall processing efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate artifact removal reconstruction even when artifacts are present in truncated regions, improving the readability and diagnostic accuracy of CT images by effectively combining main and truncated region images.
Implementation Method 1
a detector is used to acquire data of X-rays passing through the body of a patient
Data Source
AI summary
A Computed Tomography (CT) image generating method and an image data reconstruction device are provided. The method includes acquiring projection measurement data of a subject scanned by a CT device, reconstructing an initial scan image on the basis of the projection measurement data, wherein the initial scan image includes a plurality of slice images, and at least one of the slice images includes a main region image within a scan field of view and a truncated region image out of the scan field of view, determining whether a particular type of substance is present in the plurality of slice images, and performing artifact removal reconstruction on at least one of the slice images in response to determining that the substance is present in a truncated region image of the slice images, the artifact removal reconstruction being used to remove, from the slice images, artifacts caused by the substance.