Medical Imaging Subject Specification via Camera Distance Analysis
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Solution Overview
Problem
Existing medical imaging apparatuses face difficulties in setting the imaging position when multiple persons are included in the camera image, as it is unclear which person is the subject, making it challenging to automate the process.
Innovation Solution
A medical imaging apparatus and control method that includes a camera image acquisition unit, a person extraction unit, and a subject specification unit, which extracts persons from the camera image and specifies the subject based on the distance between them and a reference position set on the patient table, allowing for accurate identification and positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated imaging position setting is implemented using camera images, then productivity is improved, but reliability deteriorates when multiple persons are included in the image
Solution Approach 1:
The patent segments the subject identification process into multiple independent analysis dimensions: distance to patient table, distance to imaging position, body orientation detection, and anatomical landmark recognition. Each dimension independently evaluates the extracted persons, and the final subject identification is determined by综合分析 all segments, thereby maintaining high reliability even when multiple persons are present in the camera image.
2Measurement precision
If deep learning models are used for subject identification, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary processing layer that receives camera images and performs preliminary person extraction using deep learning, then feeds the extracted person data to multiple analysis modules (distance calculation, orientation detection, landmark recognition). This intermediary structure allows the system to leverage the power of deep learning for accurate person detection while distributing the overall processing complexity across multiple specialized, manageable modules rather than requiring one extremely complex monolithic model.
Data Source
AI summary
Provided are a medical imaging apparatus and a control method of the same for specifying a subject from among a plurality of persons included in a camera image.There is provided a medical imaging apparatus that captures a medical image of a subject placed on a patient table, the medical imaging apparatus including: a camera image acquisition unit that acquires a camera image including the patient table; a person extraction unit that extracts a person from the camera image; and a subject specification unit that specifies the subject from among a plurality of the persons extracted by the person extraction unit, based on a distance between each of the plurality of persons and a reference position set based on the patient table.