TEE Image Parameter Estimation Using Patient-Specific CT Anatomy
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Solution Overview
Problem
Existing transesophageal echocardiography techniques face challenges in accurately estimating medical images due to anatomical differences among patients, requiring manual parameter setting and lacking precision and efficiency in providing pre-procedure plans, especially for operators with limited experience.
Innovation Solution
An image processing apparatus and method that utilizes CT images to specify features of the esophagus and estimate transesophageal echocardiography parameters, including transducer path and imaging settings, based on pre-defined templates and automated feature recognition, enhancing precision and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional estimation techniques using pre-specified human body models and heart models are used, then the estimation process is simple, but the precision of the estimation result is low due to not considering anatomical differences among different patients
Solution Approach 1:
The system performs preliminary extraction of anatomical features from CT images and pre-calculates optimal imaging parameters before the actual transesophageal echocardiography procedure. This preliminary action allows the system to adapt to each patient's specific anatomy in advance, improving estimation precision while maintaining operational simplicity during the procedure.
Solution Approach 2:
The system changes the parameters of the estimation model by using patient-specific anatomical features extracted from CT images (such as esophagus position, heart orientation, chamber dimensions) rather than relying on fixed pre-specified models. This parameter adaptation allows the estimation to reflect individual anatomical variations, significantly improving precision.
2Productivity
If manual parameter setting is used for estimating transesophageal echocardiography images, then the estimation can be customized, but the efficiency and productivity are low
Solution Approach 1:
The system performs automated extraction of anatomical features from CT images and automatically calculates optimal imaging parameters without requiring manual intervention. The processing circuitry independently completes the entire estimation workflow, from feature extraction to parameter determination, significantly improving efficiency while maintaining ease of operation through a user-friendly interface.
Solution Approach 2:
The system replaces the manual mechanical process of parameter setting with an automated computational system. The processing circuitry uses image processing algorithms and anatomical feature recognition to automatically determine imaging parameters, substituting manual operation with automated mechanical-computational processes, thereby大幅提高 productivity.
3Reliability
If experienced operators perform manual transesophageal echocardiography imaging, then the imaging quality can be maintained, but the process remains difficult and time-consuming due to the need to imagine spatial directions
Solution Approach 1:
The system pre-calculates and stores the optimal transducer path, orientation angles, and imaging parameters based on the patient's CT scan data before the procedure. This preliminary preparation eliminates the need for operators to mentally calculate spatial relationships during the procedure, reducing time loss while maintaining image quality through precise, pre-determined parameters.
Solution Approach 2:
The system introduces an intermediary computational model that translates complex three-dimensional spatial relationships into simplified two-dimensional imaging parameters. This intermediary processing layer handles the complex spatial imagination task, allowing operators to directly follow pre-calculated guidance without needing to mentally visualize complex spatial orientations, thereby reducing time and maintaining reliability.
Data Source
AI summary
An image processing apparatus according to an embodiment includes processing circuitry configured: to obtain a medical image to be labeled; to obtain first image data taken by implementing a first imaging method; to specify a feature related to a first organ in the first image data; to receive an imaged range that is in second image data to be taken by implementing a second imaging method and is related to a second organ; to specify a feature related to the imaged range of the second organ corresponding to the imaged range of the second organ in the first image data; and to estimate an imaging parameter that corresponds to the imaged range of the second organ corresponding to the second imaging method, on the basis of the feature related to the first organ and the feature related to the imaged range of the second organ in the first image data.