Medical Image Filtering via Thickness-Based Interpolation
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Solution Overview
Problem
Medical imaging systems face issues with gray scale non-uniformities and banding artifacts due to discontinuous image acquisition and mismatched image slabs, leading to information loss when conventional methods attempt to reduce these artifacts.
Innovation Solution
A method and system for filtering medical image data using interpolation elements based on slice thickness, generating intermediate images, calculating difference images, truncating and smoothing them with pre-defined thresholds, and combining with original images using weighting factors to reduce banding artifacts while controlling resolution loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional methods remove images on the boundary of image slabs to reduce banding, then banding artifacts are reduced, but information is lost
Solution Approach 1:
The patent introduces an intermediary filtering process that operates on the image data without removing boundary images. The filter uses a kernel that spans across image slab boundaries to smoothly transition between slabs, eliminating banding artifacts while retaining all original image information. This intermediary filtering approach avoids the information loss inherent in direct image removal methods.
Solution Approach 2:
The patent changes the parameter of image processing from discrete image removal to continuous filtering with adjustable kernel parameters. By modifying the filter kernel parameters (such as kernel size and weighting functions), the system can control the degree of banding reduction while preserving image information, allowing optimization between artifact reduction and information retention.
2Stability of the object's composition
If filtering is applied to reduce banding artifacts, then image uniformity is improved, but resolution may be degraded
Solution Approach 1:
The patent applies local quality by using a filtering approach that adapts to local image characteristics. The filter kernel is designed to operate locally at each pixel position, applying appropriate smoothing only where needed to reduce banding while preserving high-frequency details and edges in other regions. This localized processing maintains resolution in critical areas while achieving uniformity where required.
Solution Approach 2:
The patent employs partial action by applying filtering with controlled strength and scope. The filter can be configured to apply only partial smoothing in specific regions or with specific kernel sizes, allowing the system to achieve sufficient gray scale uniformity without excessive filtering that would degrade overall image resolution. The filtering is applied selectively rather than uniformly across all image data.
Data Source
AI summary
A method and system for filtering medical images is described. The described method of filtering medical images includes receiving image data including a plurality of images from an image scan, determining a number of interpolation elements based on a slice thickness of the plurality of images, and filtering the image data using the determined interpolation elements.