Method for non staring of image recording by parallel processors, involves using block matching algorithm and generation of histograms, where histogram based similarity measures and shift vectors are detected

Simple SummaryContent extracted from patent full text and abstract with AI.

This patent describes a method for recording images, specifically for x-ray digital subtraction angiographies, using parallel processors. It employs a block matching algorithm combined with histogram analysis to detect similarities and movement (shift vectors) between parts of the image, allowing for improved image recording without needing the system to maintain a constant, unmoving ('staring') observation.

Use CasesContent extracted from patent full text and abstract with AI.

• Medical imaging, especially digital subtraction angiography for blood vessel visualization
• Real-time processing in x-ray imaging systems
• Other imaging systems requiring motion correction (e.g., CT or MRI)
• Security screening and industrial NDT (Non-Destructive Testing) imaging involving movement
• Any application needing fast, parallel image matching and movement detection

BenefitsContent extracted from patent full text and abstract with AI.

• Enables faster image processing through parallel computation
• Improves image clarity by correcting for movement during recording
• Reduces artifacts and errors from patient or object movement
• Allows for more flexible and robust imaging system design
• Enhances accuracy of diagnostic imaging in medical applications

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Patent Abstract

The method involves using a block matching algorithm and generating histograms. Histogram-based similarity measures and shift vectors are detected. A two dimensional non-staring image is recorded for x-ray image of the digital subtraction angiographies. The block-matching algorithm is arranged on a graph sheet with parallel processors, which evaluates the shift vectors by histogram based similarity measures.