Multi-Energy Radiographic Image Processing for Tissue-Specific Emphasis
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Solution Overview
Problem
Existing radiographic imaging technologies struggle to individually specify and emphasize soft part tissues and bony part structures in radiographic images due to their similar attenuation coefficients and variations among subjects, making it difficult to generate accurate and detailed images for diagnosis.
Innovation Solution
A radiographic image processing device and program that utilize a structure recognition unit to identify structures using multiple images taken with different energy radiations, calculate attenuation coefficients, and perform image processing to emphasize specific structures, such as the lungs, heart, and bones, by employing a learned model to recognize and differentiate tissues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subtraction processing is used to generate soft part or bony part images, then images for diagnosis can be generated, but it is difficult to individually specify each soft part tissue due to small differences in attenuation coefficients and subject variations
Solution Approach 1:
The invention segments the image processing by first identifying specific structures of interest (bones, organs, lesions) and then performing subtraction processing tailored to each structure. This allows individual specification of each tissue type despite small attenuation coefficient differences, as the processing is customized for each anatomical structure rather than applying a uniform subtraction approach.
Solution Approach 2:
The invention applies different image processing parameters and attenuation coefficients locally to different anatomical structures. By determining structure-specific attenuation coefficients and applying localized subtraction processing, the system achieves high precision in individual tissue specification while accounting for subject variations in different body regions.
2Measurement precision
If multiple radiographic images with different energy radiations are acquired and processed, then structure recognition accuracy is improved, but processing complexity increases
Solution Approach 1:
The invention performs preliminary structure identification and attenuation coefficient determination before executing the main subtraction processing. By pre-identifying structures of interest and calculating their specific attenuation coefficients in advance, the system reduces the complexity of the subsequent image processing while maintaining high structure recognition accuracy.
Solution Approach 2:
The system automatically determines structure-specific attenuation coefficients and processing parameters without requiring manual intervention. The processing device self-adapts by identifying structures and calculating appropriate parameters based on the acquired multi-energy images, reducing operational complexity while improving recognition accuracy.
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
Enables accurate and efficient specification of structures within radiographic images, allowing for improved diagnostic capabilities by emphasizing and distinguishing between different tissues, including lesions and artifacts, without being affected by individual subject variations.
Implementation Method 1
radiographic images used for diagnosis and the like are not limited to so-called projection images, and there is a case where a soft part image where soft part tissues of a subject are extracted (or emphasized) and/or a bony part image where a bony part of a subject is extracted are used. The soft part image and/or the bony part image are generated by so-called subtraction processing. The subtraction processing is processing for giving predetermined weight to two types of radiographic images, which are taken using radiations having energies and the like different from each other, and calculating a difference between the radiographic images; and is processing using an attenuation coefficient of the radiation that varies depending on each composition.
Implementation Method 2
A radiographic imaging device imaging a subject using radiation, such as an X-ray, has been spread in the past.
Data Source
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AI summary
There are provided a radiographic image processing device and a program that individually specify structures included in a subject. A radiographic image processing device (30) includes a radiographic image acquisition unit (33) that acquires a plurality of radiographic images of a specific subject (Obj) taken using radiations having energies different from each other, a structure recognition unit (34) that recognizes structures, which is included in the subject, using the radiographic images, an attenuation coefficient calculation unit (35) that calculates attenuation coefficients µ of the radiation for the structures, which are recognized by the structure recognition unit (34), using recognition results of the structure recognition unit and the plurality of radiographic images, and an image processing unit (36) that performs image processing on the radiographic images using the attenuation coefficients.