Bladder Volume Measurement Using AI Shape Coefficients
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Patients with difficulty sensing when their bladder is full due to insufficient urine excretion, necessitating more accurate bladder volume measurement.
Innovation Solution
A bladder volume measuring device utilizing artificial intelligence learning on bladder ultrasound image big data to calculate a shape coefficient, enabling precise urine volume measurement by combining ultrasound images from multiple cross sections and applying weighted scores for shape determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If artificial intelligence learning is applied to determine bladder shape from ultrasound images, then measurement precision is improved, but device complexity increases
Solution Approach 1:
A shape coefficient database acts as an intermediary between the ultrasound imaging system and the volume calculation system. The determination unit queries pre-established shape coefficient data based on measured bladder shapes, avoiding the need for complex real-time AI learning algorithms while achieving accurate volume measurements through the mediator's pre-computed relationships.
2Measurement precision
If multiple ultrasound images from different cross sections are used to determine bladder shape, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system processes a limited number of key cross-sectional images (first, second, and optionally third images) rather than analyzing the entire ultrasound dataset. By selecting representative sections at specific angles (0°, 90°, and intermediate angles), the system achieves sufficient shape determination accuracy without the time cost of processing all available images.
3Productivity
If shape coefficient database is established with pre-stored shape information, then productivity is improved, but device complexity increases
Solution Approach 1:
Shape coefficient data is pre-calculated and stored in a database before actual measurements are performed. During operation, the system only needs to query and retrieve pre-computed values based on measured shape parameters, eliminating the need for complex real-time calculations and significantly improving measurement productivity.
Data Source
AI summary
According to the bladder volume measuring device according to the present invention, it is possible to calculate the shape coefficient based on information about the bladder shape generated from the determination unit that performs artificial intelligence learning on bladder ultrasound image big data and more accurately measure the amount of urine contained in the bladder by calculating the bladder volume based on the ultrasound image and the shape coefficient.