Ultrasonic Apparatus Biopsy Decision via Image Correlation
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Solution Overview
Problem
Ultrasonic biopsies can cause mental and physical pain to patients due to needle insertion, and there is a need to determine whether a biopsy is necessary before performing it, as current methods lack effective criteria for decision-making.
Innovation Solution
An ultrasonic apparatus and method that matches areas of interest in ultrasound and X-ray images to determine if a biopsy is required by comparing characteristic information such as size, shape, texture, and brightness with reference information, and using subject parameters like tissue density and family history, while also updating reference rates based on true and false positive rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a biopsy is performed to obtain accurate diagnosis, then diagnostic accuracy is improved, but patient pain and discomfort increase
Solution Approach 1:
The system performs preliminary analysis of imaging data (ultrasound, X-ray, MRI) to assess tumor characteristics and predict biopsy outcomes before the actual biopsy procedure. This allows clinicians to evaluate whether a biopsy is truly necessary and to prepare appropriate guidance, thereby reducing unnecessary biopsies and associated patient pain while maintaining diagnostic accuracy when biopsies are performed.
Solution Approach 2:
The system introduces an intermediate assessment layer between imaging and biopsy decision-making. By analyzing multiple imaging modalities and generating comprehensive tumor characteristic reports, the system acts as a mediator that provides evidence-based guidance for biopsy decisions, reducing the need for invasive procedures while ensuring accurate diagnosis when biopsies are performed.
2Reliability
If multiple imaging modalities are integrated to improve diagnosis accuracy, then diagnostic reliability is improved, but system complexity increases
Solution Approach 1:
The system merges multiple imaging modalities (ultrasound, X-ray, MRI) into a unified analysis platform that automatically integrates and correlates data from different sources. This consolidation approach improves diagnostic reliability by providing comprehensive tumor characterization while managing system complexity through integrated processing and centralized control.
Solution Approach 2:
The system is designed as a multi-functional platform that can process and analyze various imaging modalities through a single integrated interface. This universal approach allows the system to handle multiple data types and perform comprehensive tumor assessment without requiring separate specialized systems for each imaging modality, thereby improving reliability while controlling complexity.
3Measurement precision
If comprehensive patient parameters are analyzed to determine biopsy necessity, then diagnostic accuracy is improved, but processing time increases
Solution Approach 1:
The system replaces manual analysis of patient parameters and imaging data with automated computational algorithms and machine learning models. This substitution of mechanical/manual processes with electronic and computational systems enables comprehensive analysis of multiple parameters (tumor size, shape, texture, imaging characteristics, patient history) to improve diagnostic accuracy while significantly reducing processing time compared to manual evaluation.
Data Source
AI summary
An ultrasonic apparatus and method for controlling the same, by which whether a biopsy is required is determined based on X-ray and ultrasound images. An ultrasonic apparatus includes an image processing unit for matching or correlating an area of interest in an ultrasound image of a subject and an area of interest in a X-ray image of the subject; a controller for analyzing the matched or matching area of interest and determining whether a biopsy is required for the subject; and a display for displaying the determination as to whether the biopsy is required.