Photon-Counting CT Thrombus Detection for Stroke Therapy
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Solution Overview
Problem
Current methods for therapeutic decision-making in ischemic stroke lack accurate and timely data for assessing the success and risks of treatments such as drug-based lysis therapy or mechanical thrombectomy, particularly due to the challenge of identifying thrombus location and vascular wall integrity with high spatial resolution and energy-resolved data.
Innovation Solution
A method and system utilizing photon-counting computed tomography data to receive, determine the location of a thrombus, and generate decision-supporting data for the thrombus and vascular wall, enabling high spatial and energy-resolved imaging to support therapeutic decisions, including the generation of computed tomography angiographic images and application of machine learning algorithms for precise data extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional computed tomography methods are used for thrombus detection, then the examination can be performed with standard equipment, but the spatial resolution and energy-resolved data quality are insufficient for accurate therapeutic decision-making
Solution Approach 1:
The patent employs photon-counting detectors that measure the energy of individual photons, enabling energy-resolved imaging. This parameter change from conventional detection to photon-counting detection provides both high spatial resolution and spectral information, resolving the contradiction between measurement precision and device complexity by fundamentally changing the detection parameter
Solution Approach 2:
The patent adds an energy dimension to the traditional spatial imaging by implementing energy-resolved photon-counting detection. This creates a four-dimensional dataset (three spatial dimensions plus energy dimension), allowing simultaneous assessment of anatomical structure and material composition, thereby achieving high measurement precision without sacrificing essential imaging capabilities
2Reliability
If high-resolution imaging is used to accurately locate thrombus and assess vascular wall integrity, then therapeutic decision accuracy improves, but the complexity and cost of the imaging system increases
Solution Approach 1:
The patent segments the imaging process into distinct functional components: photon detection, energy resolution, spatial localization, and material characterization. This segmentation allows each component to be optimized independently, achieving high therapeutic decision accuracy through specialized processing of specific data aspects rather than requiring uniformly complex imaging across all parameters
Solution Approach 2:
By changing the detection parameter to photon-counting with energy resolution, the system achieves reliable therapeutic decision-making through multiple parameters simultaneously (spatial position, energy spectrum, attenuation characteristics) rather than relying on a single complex imaging modality
3Measurement precision
If detailed data on thrombus location and vascular wall integrity is obtained, then the accuracy of risk estimation for bleeding complications improves, but the time required for data processing and analysis increases
Solution Approach 1:
The patent performs preliminary data processing by generating energy-resolved images and extracting thrombus location and vascular wall characteristics during the imaging acquisition phase. This preliminary action prepares the data in advance for rapid clinical assessment, reducing the time required for subsequent analysis while maintaining high measurement precision
Solution Approach 2:
The patent replaces manual analysis of complex imaging data with automated computational algorithms that process photon-counting data. This substitution of mechanical/manual processing with automated computational systems enables detailed thrombus characterization without proportionally increasing processing 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 provides accurate, high-resolution data for improved therapeutic decision-making in ischemic stroke, enabling better estimation of treatment success and risks, and allowing for standardized and reproducible therapeutic decisions.
Implementation Method 1
receiving photon-counting computed tomography data relating to an examination region
Implementation Method 2
a computed tomography angiographic image is generated based on the photon-counting computed tomography data
Data Source
AI summary
A method is for providing decision-supporting data. In an embodiment, the method includes receiving photon-counting computed tomography data relating to an examination region; determining a location of a thrombus in the examination region, based on the photon-counting computed tomography data received; generating the decision-supporting data, relating to at least one of the thrombus and a vascular wall in a region of the thrombus, based on the photon-counting computed tomography data received and the location of the thrombus determined; and providing the decision-supporting data generated.