X-ray Intensity Margin Correction via Expansion Rate Allocation

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Solution Overview

Problem

Hybrid pixel array detectors face challenges in correcting intensity distribution distortions at the margin, leading to reduced detection area and undetectable gaps between detectors due to signal interference from outside pixel positions and potential gradients.

Innovation Solution

A processing apparatus and method that calculate an expansion rate for X-ray intensity data on the margin side, generating an allocation function to redistribute data and correct intensity distribution distortions, allowing for expanded detection regions and reduced gaps between detectors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a guard ring is formed on the margin of the detector, then noise and leak current are suppressed, but the sensitive region becomes distorted and pixels cover a larger area causing signal interference from outside pixel positions

Engineering Contradiction:
Improvenoise suppressionVSAvoidpixel position accuracy
Core Design Contradiction:
ReliabilityVSManufacturing precision

Solution Approach 1:

The patent applies parameter changes by introducing an expansion rate parameter that quantifies the distortion of the sensitive region. By calculating this expansion rate from intensity distribution data and using it to correct pixel positions, the system maintains the guard ring structure for noise suppression while compensating for its distorting effect on pixel positioning and signal accuracy.

Inventive Principle:
Principle #35Parameter changes

2Area of stationary object

If the detection region is expanded to reduce gaps between detectors, then the undetectable gap is reduced, but the intensity distribution distortion at the margin increases

Engineering Contradiction:
Improvedetection areaVSAvoidintensity distribution uniformity
Core Design Contradiction:
Area of stationary objectVSManufacturing precision

Solution Approach 1:

The patent applies preliminary action by pre-calculating the expansion rate from intensity distribution data obtained during a calibration phase. This pre-computed correction parameter is then stored and applied to subsequent measurements, allowing the system to expand the detection region while maintaining intensity distribution uniformity through the预先-determined correction factor.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If virtual pixels are introduced to allocate count values, then gaps between read-out chips are addressed, but the complexity of the data processing algorithm increases

Engineering Contradiction:
Improvedata completenessVSAvoidalgorithm complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies the taking out principle by extracting the essential correction information (expansion rate) from the complex intensity distribution data. Instead of using complex virtual pixel allocation algorithms, the system extracts a single correction parameter that captures the marginal distortion effect, significantly simplifying the data processing while maintaining data completeness.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS10748253B2Processing apparatus, method, and program
Publication Date: 2020.08.18 RIGAKU CORP
  • US10748253B2 patent drawing
  • US10748253B2 patent drawing
  • US10748253B2 patent drawing

AI summary

A processing apparatus that enables margin correction of X-ray intensity data includes a calculation unit configured to calculate an expansion rate of X-ray intensity data detected in a unit region on a marginal side on a basis of an intensity distribution resulted from detection of uniform X-ray and a first function generation unit configured to generate an allocation function that allocates the X-ray intensity data detected in the unit region on the marginal side to an outside unit region, on the basis of the expansion rate. Enabling margin correction on the basis of the intensity distribution resulting from detection of uniform X-ray makes it possible to correct the distortion of intensity distribution on the marginal side. As a result, it is possible to expand the detection region of X-ray intensity data.