Medical Image Post-Editing Using Buffered Attribute Transfer
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Solution Overview
Problem
The post-editing of medical images obtained from devices like MRI and CT scanners is time-consuming and inefficient, requiring manual setting of numerous parameters, which hinders workflow efficiency and standardization across different devices and locations.
Innovation Solution
A method that involves extracting and buffering image attributes from a model image data set, allowing these attributes to be automatically transferred and applied to new image data sets for consistent display, thereby simplifying and speeding up the post-editing process, and enabling standardization and automation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual parameter setting is used in post-editing software, then flexibility and customization are improved, but time consumption and workflow efficiency deteriorate
Solution Approach 1:
The patent applies preliminary action by automatically transferring image attributes from a model data set to a new data set before the user needs to view or edit it. The system pre-configures display parameters, windowing settings, and other image attributes in advance, eliminating the need for manual parameter setting and significantly reducing post-editing time while maintaining consistent quality standards.
2Adaptability or versatility
If manual parameter setting is used, then adaptability to different cases is improved, but standardization and consistency across different devices deteriorate
Solution Approach 1:
The patent applies copying by creating and using a model data set that contains pre-configured image attributes. These attributes are copied from the model to new data sets, ensuring consistent and standardized display parameters across different examinations and devices. The copying mechanism maintains reliability while allowing adaptability through the selection of appropriate model data sets for different clinical scenarios.
3Loss of time
If standard parameter settings are provided, then initial setup time is reduced, but the need for manual adjustment and customization increases
Solution Approach 1:
The patent applies self-service by enabling the automatic transfer of image attributes from a model data set to new data sets without requiring manual intervention. The system serves itself by automatically configuring display parameters, windowing settings, and other attributes based on the selected model, eliminating the need for users to manually adjust parameters while still providing adaptability through model selection.
4Manufacturing precision
If comprehensive parameter settings are manually configured, then image quality and precision are improved, but device complexity and operational difficulty increase
Solution Approach 1:
The patent applies extraction by separating the complex parameter configuration into a pre-defined model data set that is extracted and applied as a complete package. Instead of requiring users to manually configure numerous individual parameters, the system extracts the necessary image attributes from the selected model and automatically applies them to the new data set, maintaining precision while reducing software complexity and operational difficulty.
Data Source
AI summary
A method is for post-editing a first image data set using a post-editing software program, the image having initially been obtained using an image producing medical examination device, and a second post-edited image data set including an image attribute, which characterizes the post-editing of the second image data set. The second image data set is loaded into the post-editing software, whereby there the image attribute is extracted from the second image data set and buffered. The first image data set is then post-edited by transferring the buffered image attribute onto it. An advantage of the method lies in the fact that the post-editing and display of the first image data set occur in a quick and simple manner.