Medical Imaging Apparatus Standard View Alignment
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Solution Overview
Problem
Medical imaging devices face challenges in displaying images in a standard view for accurate diagnosis, particularly for fetal nuchal translucency measurements, where existing methods require manual enlargement, reduction, rotation, and translation, and lack standardized image magnification, leading to inconsistencies in measurement accuracy.
Innovation Solution
A method and apparatus that transform medical images, such as ultrasound images, by performing enlargement, reduction, rotation, and shifting based on landmark points to align with a standard view, while displaying a fitness rate to ensure accurate alignment and measurement compliance with diagnostic modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual transformation methods (enlargement, reduction, rotation, translation) are used to align medical images with standard views, then image alignment can be achieved, but the process becomes time-consuming and operator-dependent, reducing efficiency and consistency
Solution Approach 1:
The system pre-defines standard view parameters (position, size, direction) for different diagnostic modes before actual image processing. By preparing transformation templates in advance based on anatomical landmarks and standard measurement protocols, the system eliminates the need for time-consuming manual adjustments during diagnosis, while ensuring consistent alignment accuracy across different operators and sessions.
Solution Approach 2:
The system automatically performs image transformation operations by detecting anatomical landmarks and computing optimal transformation parameters without requiring manual intervention. The apparatus self-adjusts image geometry (enlargement, reduction, rotation, translation) to match standard views, reducing both time consumption and operator dependency while maintaining alignment precision through algorithmic consistency.
2Measurement precision
If standardized image magnification is implemented for fetal NT measurement, then measurement consistency improves, but the system complexity increases due to the need for automated landmark detection and transformation parameter calculation
Solution Approach 1:
The system introduces anatomical landmarks as intermediary reference points between the raw medical image and the standard view requirements. By detecting key anatomical features (such as fetal head landmarks) and using them as mediators for transformation calculations, the system achieves standardized magnification and alignment without requiring complex direct image-to-standard mapping algorithms, thus reducing overall system complexity while maintaining measurement consistency.
Solution Approach 2:
The system manages complexity by focusing transformation operations on a limited set of critical parameters (position, size, direction) rather than manipulating all image properties. By changing only the necessary geometric parameters to achieve standard view compliance while keeping other image characteristics unchanged, the system maintains measurement consistency without requiring overly complex multi-parameter adjustment mechanisms.
3Productivity
If automated image transformation is implemented to meet standard view requirements, then diagnostic efficiency improves, but the risk of automated errors and incorrect alignment increases
Solution Approach 1:
The system incorporates feedback mechanisms where transformation results are validated against predefined standard view criteria. After automatic transformation operations are performed, the system checks whether the transformed image meets the required position, size, and direction parameters for the standard view. This feedback loop ensures that automated transformations maintain high reliability by detecting and correcting any alignment deviations before final display or measurement.
Solution Approach 2:
The system pre-establishes validation rules and acceptance criteria for transformation operations based on standard diagnostic protocols. By preparing these verification standards in advance, the system can quickly assess whether automated transformations have achieved correct alignment without requiring complex real-time analysis, thus maintaining both high productivity and reliability through pre-defined quality checks.
Data Source
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AI summary
Provided are a method and medical imaging apparatus for displaying a medical image suitable for a standard view. The method includes acquiring information related to at least one landmark point in the medical image; and displaying a view of the medical image that satisfies requirements included in a standard view, through a display unit, based on the at least one landmark point.