X-ray Imaging Apparatus Optimizing Radiography Conditions via Historical Data
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Solution Overview
Problem
Current X-ray imaging apparatuses face challenges in optimizing radiography conditions to achieve high-quality images while minimizing the dose of X-rays used, leading to either high-quality images at higher doses or lower-quality images at lower doses.
Innovation Solution
An X-ray imaging apparatus and control method that include an input device for patient information, a controller to search for previous X-ray images and radiography conditions, and set optimized radiography conditions for a main-shot based on quality analysis, allowing for high-quality images with reduced X-ray doses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If higher dose of X-rays is used, then image quality is improved, but radiation exposure to patient increases
Solution Approach 1:
The system performs preliminary actions by acquiring reference images and pre-processing data before the actual radiography. It retrieves historical patient data and performs quality analysis in advance to determine optimal radiography conditions, thereby avoiding the need for high doses during the main imaging process while still achieving high image quality through optimized parameters.
Solution Approach 2:
The system implements feedback by continuously monitoring and analyzing the quality of obtained images and comparing them with reference images. It uses this feedback to adjust and optimize radiography conditions, allowing the system to achieve high image quality with minimized radiation doses by learning from previous results and automatically tuning parameters.
2Object-affected harmful factors
If lower dose of X-rays is used, then radiation exposure is reduced, but image quality deteriorates
Solution Approach 1:
The system applies parameter changes by dynamically adjusting radiography parameters such as tube voltage, tube current, and exposure time based on analyzed patient characteristics and historical data. By optimizing these parameters for each specific case, the system achieves high image quality even at lower radiation doses, as the parameters are precisely tuned rather than using fixed high doses.
Solution Approach 2:
The system performs preliminary quality analysis and retrieves historical data before the actual imaging to determine optimal parameters in advance. This preliminary action allows the system to configure ideal radiography conditions beforehand, enabling low-dose imaging that still produces high-quality images through pre-calculated optimized settings.
3Measurement precision
If radiography conditions are optimized based on previous images, then image quality improves, but processing time increases
Solution Approach 1:
The system performs quality analysis and retrieves historical patient data in advance before the actual radiography process. By completing these preliminary actions beforehand, the system prepares optimized parameters in advance, which then can be applied quickly during the main imaging process, thus improving image quality without significantly increasing total processing time.
Solution Approach 2:
The system uses reference images and historical data as copies of previous successful imaging conditions. Instead of analyzing everything from scratch, it retrieves and adapts proven parameters from historical records, significantly reducing processing time while maintaining high image quality through copying of optimized settings.
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 the acquisition of high-quality X-ray images with lower X-ray doses by analyzing previous images and conditions, thereby improving image quality while reducing radiation exposure.
Implementation Method 1
irradiating X-rays onto a subject, such as a human body or an object
Implementation Method 2
receives the X-rays transmitted through the subject, converts the received X-rays into electrical signals
Data Source
AI summary
Disclosed herein are an X-ray imaging apparatus for optimizing radiography conditions upon radiography, and a control method thereof. The X-ray imaging apparatus includes: an input device configured to receive information about a patient; and a controller configured to conduct a search for a previously obtained X-ray image related to the information about the patient and a previously set radiography condition related to the information about the patient, and to set a radiography condition for a main-shot based on a result of the search.