System and method for obtaining medical ultrasound images
By using deep learning neural networks to analyze images and probe positions during ultrasound examinations, images relevant to medical diagnosis are automatically identified and saved, solving the problem of missed images by ultrasound physicians and improving diagnostic accuracy and hospital efficiency.
CN114760929BActive Publication Date: 2026-07-07KONINKLIJKE PHILIPS NV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- KONINKLIJKE PHILIPS NV
- Filing Date
- 2020-11-13
- Publication Date
- 2026-07-07
AI Technical Summary
Technical Problem
In current ultrasound examinations, sonographers may miss images relevant to the medical diagnostic process, leading to incomplete diagnoses, increased need for repeat examinations, reduced efficiency, and increased medical costs.
Method used
Using machine learning models, especially deep learning neural networks, the system analyzes ultrasound images and probe positions to automatically identify images relevant to the medical diagnostic process and bookmarks them when necessary to ensure that the relevant images are saved.
Benefits of technology
It improves the accuracy of image preservation, reduces the need for repeated examinations, and increases diagnostic accuracy and hospital productivity.
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Smart Images
Figure CN114760929B_ABST
Abstract
A system for obtaining medical ultrasound images of a subject includes a probe including an ultrasound transducer for capturing ultrasound images, a memory including instruction data representing a set of instructions, and a processor configured to communicate with the memory and run the set of instructions. The set of instructions, when run by the processor, causes the processor to receive an ultrasound image acquired by the probe, provide the image as input to a trained model, receive an indication from the model as to whether the image includes an image relevant to a medical diagnostic process, and determine whether to bookmark the image based on the received indication.
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