Artifact Detection in Medical Imaging Scans
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Solution Overview
Problem
Non-invasive imaging technologies face challenges in detecting and avoiding artifact areas within the anatomical scan range, which can result in non-diagnostic, obscured, or blurry images, leading to increased scan times, data storage and processing requirements, and unnecessary radiation exposure.
Innovation Solution
A system and method that utilize a processor to detect artifact areas within the scan range and generate artifact area indicators, allowing for pre-scan detection and display of potential artifact locations, enabling patients to be repositioned to avoid these areas, thereby preventing artifacts from appearing in images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If artifact detection and avoidance procedures are implemented, then image quality and diagnostic accuracy are improved, but scan time and system complexity increase
Solution Approach 1:
The system performs artifact detection and generates artifact area indicators before the actual diagnostic scan. By identifying artifact-prone regions in advance using preliminary imaging and detection algorithms, the system allows for patient repositioning or scan parameter adjustment before committing to a full diagnostic scan, thereby preventing wasted scan time on artifact-contaminated images
Solution Approach 2:
The system implements a feedback loop where artifact detection results are fed back to adjust scan parameters or patient positioning. The artifact area indicators provide real-time feedback that enables operators to modify the scan plan before execution, creating a closed-loop system that continuously optimizes image quality while minimizing unnecessary scanning
2Measurement precision
If comprehensive artifact detection is performed, then diagnostic accuracy is improved, but data storage and processing requirements increase
Solution Approach 1:
The system extracts and isolates only the artifact-affected regions from the full scan data using artifact area indicators. By identifying and separating artifact-contaminated areas from the rest of the image data, the system allows for selective processing and storage of only the diagnostically relevant artifact-free regions, significantly reducing data storage and processing requirements while maintaining diagnostic accuracy
Solution Approach 2:
The imaging data is segmented into artifact-affected and artifact-free regions based on detection results. This segmentation enables the system to process, store, and analyze only the necessary artifact-free portions of the scan, reducing overall data volume while preserving all diagnostically important information
3Object-affected harmful factors
If artifact detection and patient repositioning are implemented, then radiation exposure is reduced, but scan time and system complexity increase
Solution Approach 1:
The system performs artifact detection and generates visual indicators before the diagnostic scan begins. By providing advance notice of artifact-prone areas through preliminary detection and artifact area indicators, the system enables patient repositioning or scan parameter adjustment before radiation exposure occurs, thereby reducing unnecessary radiation dose without requiring complex real-time intervention systems during scanning
Data Source
AI summary
Systems and methods for obtaining images are described. A method may include detecting a patient residing on a table proximate the system and detecting one or more artifact areas within an anatomical scan range of the patient. In some examples, the method can include generating an artifact area indicator for the system to display, wherein the artifact area indicator comprises data indicating a location for each of the one or more artifact areas that reside within the anatomical scan range of the patient.