Automated Scout Scan Examination for Anatomical Deviation Detection
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Solution Overview
Problem
In tomographic medical imaging, anatomical abnormalities in the scout scan region but outside the clinical scan region may go unnoticed due to low resolution and signal-to-noise issues, which can lead to missed incidental findings.
Innovation Solution
A medical system equipped with an anatomical detection module that automatically detects and localizes anatomical deviations in tomographic medical scout image data, enabling the detection of abnormalities that may be difficult for humans to identify.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If scout scan is acquired for low resolution and high signal to noise, then acquisition speed is improved, but detection precision of anatomical abnormalities deteriorates
Solution Approach 1:
The system segments the detection task into two stages: first, an automated detection algorithm processes the low-resolution scout scan to identify potential abnormalities; second, only regions containing detected abnormalities are selected for high-resolution clinical scanning. This segmentation allows the low-resolution scan to serve its speed function while the algorithm compensates for the precision limitation.
Solution Approach 2:
An automated detection algorithm acts as an intermediary between the low-resolution scout scan and the high-resolution clinical scan. The algorithm processes the scout scan data, identifies suspicious regions, and guides subsequent high-resolution imaging, thereby bridging the gap between fast low-resolution acquisition and accurate abnormality detection.
2Area of stationary object
If scout scan covers large region, then coverage area is improved, but image quality deteriorates
Solution Approach 1:
The imaging process is segmented into a broad coverage phase (scout scan) and a focused detail phase (clinical scan). The scout scan rapidly covers the entire region of interest at low resolution, then the system segments out specific sub-regions containing abnormalities for detailed high-resolution imaging, thus achieving both wide coverage and high image quality where needed.
Solution Approach 2:
The system applies different quality levels to different regions: the majority of the coverage area is imaged at low resolution for speed, while specific local regions containing abnormalities are imaged at high resolution for diagnostic quality. This local quality approach optimizes the trade-off between coverage area and image quality.
3Productivity
If automated detection algorithm is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system replaces manual review of scout scans with an automated detection algorithm that uses computational methods to identify abnormalities. This substitution of mechanical/manual processes with automated computational processes increases productivity while the added complexity is confined to software rather than hardware.
Data Source
AI summary
Disclosed herein is a medical system (100, 300, 400) comprising a memory (110) storing machine executable instructions (120). The medical system further comprises an anatomical detection module (122). The anatomical detection module is configured for detecting an anatomical deviation in response to inputting tomographic medical scout image data (124). The anatomical detection module is configured for outputting a localization (126) of the anatomical deviation in the tomographic medical scout image data if the anatomical deviation is detected. The medical system further comprises a processor (104) configured for controlling the medical system. Execution of the machine executable instructions causes the processor to: receive (200) the tomographic medical scout image data, receive (202) the localization of the anatomical deviation from the anatomical detection module in response to inputting the tomographic medical scout image data into the anatomical detection module, and provide (204) a warning signal (128) if the localization is received.