Spectral Imaging Data Compression via Intermediate Extraction
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Solution Overview
Problem
Conventional spectral imaging methods in medical imaging require significant computing resources and storage space, and often fail to meet the diverse viewing requirements of physicians, with limited functionality and accuracy in transmitting high-quality medical images.
Innovation Solution
A method and system for spectral imaging that involves obtaining scan data, determining spectral intermediate data, and generating target spectral images, including noise or denoised data, using processing parameters to perform weighting operations and adjust image quality, allowing for efficient data transmission and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spectral imaging is performed using conventional methods with full raw data reconstruction, then image quality and diagnostic information are improved, but computing resources and storage space are excessively consumed
Solution Approach 1:
The patent extracts and transmits only spectral intermediate data (such as material decomposition data or basis material images) from the examination device to the reconstruction device, rather than transmitting all raw spectral data. This extraction of essential information reduces data volume while maintaining the capability to generate high-quality spectral images with accurate material characterization.
Solution Approach 2:
The patent segments the spectral imaging process into two distinct stages: (1) acquisition of spectral intermediate data at the examination device, and (2) reconstruction of spectral images at the reconstruction device. This segmentation allows the examination device to perform only essential measurements and transmit compressed intermediate results, while the reconstruction device performs computationally intensive image generation, thereby reducing overall data transmission and storage requirements.
2Productivity
If spectral intermediate data is transmitted between devices, then data transmission efficiency is improved, but image reconstruction accuracy may be compromised
Solution Approach 1:
The patent introduces spectral intermediate data as an intermediary representation that bridges the examination device and reconstruction device. This intermediate form contains essential spectral information in a compressed format, enabling efficient transmission while preserving sufficient information for accurate image reconstruction. The intermediary data acts as a lossless or near-lossless representation that maintains diagnostic quality.
3Adaptability or versatility
If multiple types of spectral images are generated to satisfy different physician requirements, then diagnostic versatility is improved, but processing complexity and time are increased
Solution Approach 1:
The patent performs preliminary processing at the examination device to generate spectral intermediate data that contains all necessary information for creating multiple types of spectral images. By preparing this intermediate representation in advance with complete spectral material decomposition information, the system enables flexible generation of various image types (such as virtual non-contrast images, monoenergetic images, or material-specific images) at the reconstruction device without repeating complex acquisition processes, thereby reducing overall processing complexity.
Data Source
AI summary
The present disclosure is related to methods and systems for spectral imaging. The method may include obtaining scan data of a target subject, determining spectral intermediate data based on the scan data, and generating a target spectral image based on the spectral intermediate data.