CT Projection Image Correction via Iterative Dose Normalization
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Solution Overview
Problem
CT image reconstruction is compromised by fluctuations in radiation dose during CT scans, leading to inconsistencies in projection images and potentially poor imaging quality, which can result in false medical diagnoses or inaccurate treatment positioning.
Innovation Solution
A system and method for correcting projection images by performing iterative corrections based on differences between images at different gantry angles, using correction coefficients to normalize the images and reduce radiation dose variations, involving preprocessing and post-processing steps to enhance image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If CT scan is performed at multiple gantry angles to improve image coverage, then imaging completeness is improved, but radiation dose inconsistency increases
Solution Approach 1:
The patent applies parameter changes by modifying the radiation dose parameters across different gantry angles through correction coefficients. The system adjusts the effective radiation dose delivered to the subject at each angle by changing exposure parameters, thereby achieving uniform dose distribution while maintaining complete angular coverage for reliable imaging.
Solution Approach 2:
The patent implements feedback mechanisms by measuring the actual radiation dose at each gantry angle and using this information to calculate correction coefficients. These coefficients are then applied to adjust subsequent exposures, creating a closed-loop system that continuously optimizes dose uniformity across all imaging angles.
2Manufacturing precision
If projection images are corrected using iterative methods to improve image quality, then imaging quality is improved, but processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the complex correction process into distinct iterative stages: initial projection image acquisition, correction coefficient calculation, image correction application, and quality assessment. Each stage processes specific data elements separately, making the overall complex process more manageable and computationally efficient.
Solution Approach 2:
The patent implements partial action by performing corrections on selected projection images rather than all images simultaneously. The iterative method applies corrections progressively to subsets of data, achieving high-quality results through multiple passes rather than requiring excessive computational resources in a single step.
Data Source
AI summary
A method for correcting projection images in CT image reconstruction is provided. The method may include obtaining a plurality of projection images of a subject. Each of the plurality of projection images may correspond to one of the plurality of gantry angles. The method may further include correcting a first projection image of the plurality of projection images according to a process for generating a corrected projection image. The process may include performing, based on the first projection image and a second projection image of the plurality of projection images, a first correction on the first projection image to generate a preliminary corrected first projection image. The process may also include performing, based on at least part of the preliminary corrected first projection image, a second correction on the preliminary corrected first projection image to generate a corrected first projection image corresponding to the first gantry angle.