Digital Radiography Long-Length Imaging With Automatic Parameter Stitching
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Solution Overview
Problem
Existing long-length imaging technologies in digital radiography require manual adjustment of parameters by operators, leading to complexity and instability in image stitching due to human intervention.
Innovation Solution
A method and device that automatically determine imaging parameters based on the anatomy of interest using a digital radiography device, employing algorithms to identify key nodes and generate a long-length image by stitching X-ray images captured at specified positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual parameter adjustment by operators is used in existing long-length imaging technologies, then the imaging process can be completed, but the operation becomes complicated and the imaging quality becomes unstable
Solution Approach 1:
The system automatically determines imaging parameters (exposure times, image capture times, overlapping extent, initial position, subsequent position) based on the anatomy part of interest without requiring manual operator input. The computer executes algorithms to self-determine all parameters, eliminating human factors that cause instability and complexity
Solution Approach 2:
The system dynamically adjusts multiple imaging parameters (exposure time, capture timing, overlapping extent, source and detector positions) based on the specific anatomy being imaged. These parameters are automatically optimized for each imaging scenario rather than being manually set, resolving the contradiction between operational simplicity and imaging quality stability
2Ease of operation
If automatic parameter determination is implemented, then operation complexity is reduced, but the system complexity increases
Solution Approach 1:
The patent replaces manual mechanical adjustment of imaging parameters with an automated computer-based system that uses algorithms to determine parameters. The computer executes software routines that automatically calculate exposure times, positions, and other parameters based on input data about the anatomy, substituting human cognitive and manual operations with automated computational processes
Solution Approach 2:
The system introduces a computer as an intermediary between the operator and the imaging parameters. Instead of the operator directly setting parameters, the computer acts as a mediator that receives anatomical information, processes it through algorithms, and outputs optimized parameter settings, thereby simplifying the operator's task while managing system complexity through structured software
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
Simplifies the imaging process by reducing human error, ensuring stable and high-quality long-length image generation.
Implementation Method 1
The scintillator screen 121 is intended to convert energy from ionization radiation to light radiation of different frequencies
Implementation Method 2
the image sensing array 122 receives emitted light excited by incident radiation and creates digital images
Data Source
AI summary
A long-length imaging method based on digital radiography, and an image processing system and a computer-readable memory medium to implement the method. According to one respect of the invention, the long-length imaging method based on digital radiography comprises the following steps: A. determining a part of interest of an anatomy of an object; B. determining imaging parameters of digital radiography based on the part of interest, the imaging parameters at least including a plurality of specified positions of imaging components, wherein the plurality of specified positions are configured to make X-ray images captured at the plurality of specified positions by the imaging components include the part of interest of the anatomy of the object; and C. generating a long-length image in relation to the part of interest of the anatomy of the object based on the X-ray images at the plurality of specified positions.