Adaptive CTP Scan Targeting for Stroke Detection
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Solution Overview
Problem
Current CT scanning protocols have limited coverage, particularly with CTP scans that only cover a small portion of the brain, missing about 25% of ischemic strokes and suffering from low image resolution, and the proposed 'Neuron Perfused Blood Volume Imaging' method reduces resolution to extend coverage.
Innovation Solution
A method and system that perform nCT and CTA scans to detect characteristics of a region of interest, allowing for targeted CTP scans with improved field of view and image resolution without the need for a whole-brain CTP scanner, incorporating automatic and semi-automatic image processing to enhance detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If CTP scan coverage is extended to the whole brain, then the detection coverage is improved, but the image resolution deteriorates
Solution Approach 1:
The patent applies local quality by performing CTP scans only on detected regions of interest rather than the entire brain. The system identifies suspicious areas from nCT and CTA images, then concentrates scanning resources on those specific locations, maintaining high image resolution while improving detection coverage for stroke lesions.
2Measurement precision
If CTP scan is performed on the standardized position covering MCA territory only, then the image resolution is maintained, but the detection coverage deteriorates
Solution Approach 1:
The patent implements dynamics by making the CTP scan field of view adaptive rather than fixed. The system dynamically determines the scan region based on detected regions of interest from nCT and CTA images, allowing the coverage area to vary according to the patient's specific condition while maintaining high image resolution.
3Area of stationary object
If a whole-brain CTP scanner is implemented, then the detection coverage is improved, but the device complexity and cost increase
Solution Approach 1:
The patent applies segmentation by dividing the brain into multiple regions and performing CTP scans selectively on detected regions of interest rather than scanning the entire brain at once. This approach allows comprehensive coverage to be achieved through multiple targeted scans using existing scanners, avoiding the need for complex whole-brain CTP scanner infrastructure.
Data Source
AI summary
To improve the scanning effect, a scanning method is provided, which comprises the steps of performing at least one of an nCT scan and a CTA scan on an object so as to obtain a set of images; detecting characteristics of a region of interest based on the set of images; and performing a CTP scan on the region of interest by adopting the characteristics to obtain a CTP image. By deriving the characteristics of the region of interest, e.g. a lesion or an area covering the lesion, before performing the CTP scan, and by adapting the subsequent CTP scan based on the characteristics of the region of interest, the drawback introduced by a limited scan area of the CTP scanner is mitigated, or even overcome.