Tomographic Image Processing for Multi-Plane Imaging Range Setting
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Solution Overview
Problem
Existing methods for setting imaging ranges in medical imaging, such as CT and MRI, are time-consuming and inaccurate due to reliance on manual operator input and vary based on skill, with existing automated methods failing to accurately set ranges in planes other than the sagittal plane.
Innovation Solution
An image processing apparatus and method that utilizes a processor to automatically set imaging ranges based on multiple tomographic images from different directions, including sagittal and coronal planes, using machine learning to detect landmarks and derive presence information for intervertebral discs, allowing precise determination of imaging planes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual setting of imaging range is performed by operator, then flexibility and adaptability are maintained, but time consumption increases and accuracy varies based on operator skill
Solution Approach 1:
The system performs self-service by automatically detecting landmarks and calculating imaging ranges without requiring operator intervention. The processor autonomously identifies anatomical landmarks in scout images and computes the optimal imaging range, eliminating the need for manual measurement and setting operations.
Solution Approach 2:
The patent replaces the mechanical/manual system of operator-based range setting with an automated computational system. The processor uses image processing algorithms to detect landmarks and calculate imaging ranges, substituting human manual operations with automated mechanical/computational processes that are both faster and more consistent.
2Productivity
If automated imaging range setting is performed using only sagittal images, then processing speed increases, but accuracy in other planes deteriorates
Solution Approach 1:
The patent transitions from two-dimensional analysis of single-plane images to three-dimensional spatial reasoning by integrating landmarks from multiple planes (sagittal, coronal, and axial). This multi-dimensional approach allows accurate determination of imaging ranges in all three anatomical planes simultaneously, overcoming the limitation of single-plane methods.
Solution Approach 2:
The system achieves multi-functionality by using a unified automated process that simultaneously determines imaging ranges for multiple anatomical planes. The same landmark detection and range calculation algorithms work across sagittal, coronal, and axial views, providing universal applicability across different imaging orientations without requiring separate manual adjustments for each plane.
Data Source
AI summary
A processor sets an imaging range based on a plurality of first tomographic images respectively representing a plurality of tomographic planes in a first direction for a subject and at least one second tomographic image representing a tomographic plane in a second direction intersecting the first direction. Accordingly, the imaging range can be accurately set.