MRI CT Volume Image Sectional Reconstruction via Correlation Parameters
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Solution Overview
Problem
Current medical image diagnostic apparatuses face challenges in accurately and efficiently generating sectional images from volume data, requiring precise positioning and anatomical knowledge, which hinders the accuracy and promptness of medical diagnosis.
Innovation Solution
The development of a medical image diagnostic and display apparatus that calculates correlation parameters to automatically form sectional images within a three-dimensional image coordinate system, allowing for accurate and prompt diagnosis without the need for precise positioning or anatomical knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a two-dimensional image is used for reading imaging results, then the imaging process is simplified and positioning accuracy is improved, but a long time is consumed for data processing to generate the two-dimensional image from volume data
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing correlation parameters (such as affine transformation matrices) during the imaging process. These parameters are computed in advance and saved in the database, so that when reading results, the system can directly retrieve and apply these pre-computed parameters to generate sectional images without performing time-consuming data processing operations at reading time.
2Measurement precision
If precise positioning and anatomical knowledge are required for generating sectional images, then the accuracy of sectional position is improved, but the complexity of operation and device complexity increase
Solution Approach 1:
The patent implements self-service by enabling the system to automatically calculate correlation parameters and generate sectional images without requiring operator intervention for positioning or anatomical knowledge. The imaging apparatus autonomously performs the complex calculations and image generation tasks that would otherwise require skilled operators to manually position and reconstruct images, thereby eliminating the need for precise manual positioning and anatomical expertise.
3Stability of the object's composition
If the same section is reproduced using past imaging data with apparatus coordinate system reference, then consistency is improved, but it becomes difficult to reproduce the same section when positional relation between patient and apparatus is not fixed
Solution Approach 1:
The patent applies parameter changes by transforming the coordinate reference system from apparatus-based to patient-based coordinates. Instead of using fixed apparatus coordinate systems that require consistent positioning, the system calculates and uses correlation parameters that map volume data to sectional images based on patient anatomy. This allows the same sectional views to be reproduced regardless of the patient's position or orientation in the apparatus, providing both consistency and flexibility.
Data Source
AI summary
A medical image diagnostic apparatus has an imaging unit that images volume data of a region-of-interest of an object, an extracting unit that extracts a characteristic point from the volume data; and, a generating unit that generates an observation sectional image from the volume data using the characteristic point and correlation parameters.