Spectral Map Image Generation for Energy-Resolved Clinical Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge in clinical imaging is unlocking the full potential of multispectral images generated by energy-resolved techniques, which adds complexity to decision-making due to the additional dimension in data, often leading to missed clinically relevant findings.
Innovation Solution
A method and system for generating medical images from spectral maps of raw multispectral data using energy-resolved imaging, involving data processing and selection of appropriate spectral maps based on the scope of analysis, enabling higher resolution and improved contrast, and reducing radiation dose.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multispectral imaging data is acquired using energy-resolved techniques, then image resolution and contrast are improved, but decision-making complexity increases
Solution Approach 1:
The patent segments the complex multispectral data by generating multiple spectral maps, each representing different tissue types or pathologies. This segmentation allows clinicians to focus on specific spectral ranges relevant to their diagnostic needs, reducing the overwhelming complexity of the full spectral dataset while maintaining high resolution and contrast benefits.
Solution Approach 2:
The patent introduces spectral maps as intermediary representations between the raw multispectral data and clinical interpretation. These spectral maps serve as a bridge that translates complex spectral information into clinically relevant visualizations, making the data more interpretable without losing the high resolution and contrast advantages of energy-resolved imaging.
2Reliability
If multiple spectral ranges are analyzed, then diagnostic accuracy is improved, but analysis time increases
Solution Approach 1:
The patent performs preliminary processing to generate multiple spectral maps before clinical analysis. By pre-computing these spectral representations during the imaging process, the system prepares diagnostic information in advance, allowing clinicians to quickly reference pre-generated spectral maps rather than performing time-consuming spectral analysis during patient consultation.
Solution Approach 2:
The patent enables dynamic selection and adjustment of spectral maps based on clinical needs. Clinicians can interactively explore different spectral ranges and combinations, allowing the analysis to adapt to specific diagnostic questions without requiring complete analysis of all possible spectral data, thus balancing diagnostic accuracy with analysis time.
3Ease of operation
If conventional image processing is used, then workflow simplicity is maintained, but clinically relevant findings are missed
Solution Approach 1:
The patent implements automated processing that generates appropriate spectral maps and highlights clinically relevant findings without requiring manual intervention. The system automatically identifies and presents significant spectral features, allowing the imaging system to serve itself in preparing diagnostic information while maintaining workflow simplicity for clinicians.
Solution Approach 2:
The patent transforms conventional imaging parameters into spectral domain representations, creating new visualizations that reveal clinically relevant information invisible to conventional processing. By changing from spatial-only to spectral-spatial parameters, the system uncovers additional diagnostic information while maintaining user-friendly presentation through standardized spectral map displays.
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
The method provides higher resolution and improved contrast in medical images, reduces radiation exposure, and assists clinicians with automated processing for better decision-making, all while allowing for a single scan.
Implementation Method 1
photon-counting detector, which registers the interactions of individual photons. By keeping track of the deposited energy in each interaction, the detector pixels of the detector each record an approximate energy spectrum
Data Source
Figure 1~2
AI summary
The invention relates to a technique for generating a medical image from a spectral map generated from raw multispectral medical imaging data acquired by means of an energy-resolved medical imaging technique. A computer-implemented method (100), performed by a computing device (200), comprises receiving (S102) raw multispectral medical imaging data, which were acquired by means of an energy-resolved medical imaging technique. A scope of analysis of the received (S102) raw multispectral medical imaging data is determined (S106). At least one spectral map is selected (S108). The selecting (S108) is based on the determined (S106) scope of analysis. The received (S102) raw multispectral medical imaging data are processed (S112) for generating (S114) at least one medical image based on the at least one generated (S110) spectral map.