Normal Dynamic Image Reference for Medical Diagnosis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge in medical imaging is the inefficiency and increased radiation exposure due to the lack of sufficient normal image data for dynamic images, leading to incorrect diagnoses and excessive re-radiographing, especially when comparing dynamic images with still images.
Innovation Solution
A medical information management system that associates and manages dynamic information obtained from healthy subjects with their attribute information, using a data structure to support diagnosis by comparing with normal dynamic images, reducing radiation exposure and improving diagnostic efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dynamic images are used for diagnosis without sufficient normal dynamic image data, then diagnostic capability is attempted, but diagnostic accuracy deteriorates due to lack of proper comparison standards
Solution Approach 1:
The system performs preliminary collection and organization of normal dynamic image data from healthy subjects before actual diagnosis. This advance preparation creates a reference database that enables accurate comparison during diagnostic processes, eliminating the need to work without proper baseline data
Solution Approach 2:
The system creates copies of normal dynamic images from healthy subjects and stores them as reference data. These copied normal images serve as comparison standards against which patient dynamic images can be evaluated, providing the missing diagnostic reference framework
2Reliability
If dynamic images are viewed completely for diagnosis, then diagnostic thoroughness is improved, but time consumption increases significantly
Solution Approach 1:
The system extracts and highlights only the suspicious or abnormal portions of dynamic images by comparing them against normal reference data. This extraction of critical information allows doctors to focus on relevant areas rather than reviewing entire lengthy dynamic image sequences, significantly reducing viewing time while maintaining diagnostic thoroughness
Solution Approach 2:
The system introduces an automated comparison mechanism as an intermediary between the raw dynamic images and the doctor's analysis. This intermediary process pre-processes the images by comparing them with normal references and flagging abnormalities, thereby filtering the information before it reaches the doctor for final assessment
3Reliability
If re-radiographing is performed due to erroneous diagnosis, then diagnostic verification is attempted, but radiation exposure increases considerably
Solution Approach 1:
The system uses copied normal dynamic images from healthy subjects as reference standards to verify patient images without requiring additional radiographing. This copy-based comparison method enables diagnostic verification while completely avoiding the harmful effect of repeated radiation exposure
Data Source
AI summary
A medical information management apparatus includes a hardware processor that manages first dynamic information obtained by performing dynamic radiographing on a first subject that does not have a disease and first attribute information of the first subject. The first dynamic information and the first attribution information is associated with each other.