Adaptive Temporal Resolution for Respiratory Motion Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current medical imaging technologies face challenges in achieving optimal temporal resolution for respiratory movement imaging, as selecting high temporal resolution for precise movement reproduction can result in higher radiation doses and increased demands on X-ray sources, while being patient-specific, requiring tailored settings for each individual.
Innovation Solution
A method for actuating medical imaging devices that automatically derives a patient-specific temporal resolution based on their respiratory curve, allowing for personalized image data set generation with adjusted radiation source and detector movements, optimizing image quality and reducing unnecessary radiation exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the highest possible temporal resolution is selected for data capture and image generation, then the temporal resolution of the time-resolved image data set is improved, but the radiation dose to the patient increases
Solution Approach 1:
The patent applies dynamics by making the temporal resolution adaptive rather than fixed. The system dynamically adjusts the temporal resolution based on the patient's respiratory characteristics detected during the examination. The control unit modifies imaging parameters in real-time according to the respiratory curve, allowing the temporal resolution to vary throughout the respiratory cycle - higher during critical phases and lower during stable phases, thus optimizing both image quality and radiation dose.
Solution Approach 2:
The patent changes the parameter of temporal resolution based on the patient's respiratory curve. The control unit derives characteristics from the respiratory curve and automatically adjusts imaging parameters including temporal resolution. This parameter adaptation allows the system to use lower temporal resolution when the patient's respiratory movement is slow or stable, thereby reducing radiation dose while maintaining sufficient image quality for irradiation planning.
2Measurement precision
If the highest possible temporal resolution is selected for data capture, then the temporal resolution is improved, but the demands on X-ray sources and their performance reserves increase
Solution Approach 1:
The system dynamically adjusts the temporal resolution setting based on the patient's actual respiratory characteristics. The control unit monitors the respiratory curve and adapts the imaging parameters accordingly, reducing the temporal resolution demand on the X-ray source when high temporal resolution is not clinically necessary, thus lowering the power and performance requirements of the X-ray source.
Solution Approach 2:
The patent changes the temporal resolution parameter automatically based on respiratory curve analysis. By deriving characteristics from the patient's respiratory pattern, the system adjusts the temporal resolution to the minimum necessary level, reducing the performance demands on the X-ray source while maintaining adequate image quality for the specific patient's respiratory rate and movement characteristics.
3Measurement precision
If the highest possible temporal resolution is selected, then the temporal resolution is improved, but the maximum possible extent of the measurement region is limited
Solution Approach 1:
The patent automatically adjusts the temporal resolution parameter based on the patient's respiratory curve characteristics. This parameter adaptation allows the system to reduce temporal resolution when the patient's respiratory movement is slow or has large stable phases, thereby extending the maximum possible extent of the measurement region that can be imaged within the available scan time and performance constraints.
4Measurement precision
If the highest possible temporal resolution is selected, then the temporal resolution is improved, but the duration of measurement data capture is limited
Solution Approach 1:
The system automatically adapts the temporal resolution parameter based on analysis of the patient's respiratory curve. By reducing the temporal resolution when high temporal resolution is not necessary for the patient's specific respiratory characteristics, the system extends the duration for which measurement data can be captured, allowing for more comprehensive imaging of the measurement region over time.
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
This approach enables the generation of image data sets that accurately capture respiratory movements with optimized temporal resolution, reducing radiation exposure and avoiding limitations on scan range or duration, thereby improving image quality and patient safety.
Implementation Method 1
With the assistance of at least one radiation source and at least one opposing detector, absorption data from the patient is captured from different capture angles
Implementation Method 2
absorption data from the patient is captured
Data Source
AI summary
A method is for actuating a medical imaging device for generating an image data set of a patient's measurement region affected by respiratory movement. In an embodiment, the method includes provisioning a respiratory curve of the patient describing the respiratory movement of the patient over a respiratory cycle; automatically deriving a measurement parameter based upon the respiratory curve, the measurement parameter derived determining a temporal resolution of the at least one slice image data set; and actuating the medical imaging device to generate the image data set based upon the measurement parameter. For a z position, a plurality of projection data sets from various projection angles are acquired with relative rotational movements between a radiation source of the medical device and the patient. The at least one slice image data set of the image data set is generated based upon the plurality of projection data sets acquired.