Photon Counting X-Ray Phase-contrast Imaging System

Introduction

Photon counting imaging has the technical advantage of zero noise, which makes low-light flux X-ray imaging possible. It solves the technical shortcoming that traditional detectors cannot realize phase-contrast imaging. By adopting the principle of quasi-coaxial phase-contrast imaging, it solves the problem that grating method, interferometer method, diffraction enhancement method and other methods are difficult to be applied commercially. And absorbing materials with no difference in contrast. Such as pathological section, carbon fiber, etc., to meet the clinical, scientific research, industrial and other fields of application.

Features & Benefits

Photon counting X-ray detector:

direct conversion; large imaging area; fast imaging; robust and temperature-and-humidity tolerant

No coherent light required
5µm focal size with high spatial resolution
With extremely high cost performance, strong maintainability
The largest phase-contrast imaging area

The principle of coaxial phase contrast imaging

Using the principle of coaxial phase contrast imaging, the detector is pulled far to a certain distance, the phase difference is captured by the large imaging surface array chip, and the phase information is obtained by the intensity information back operation to obtain the phase contrast image.

High grayscale

Phase contrast images can clearly distinguish the density difference, while traditional grayscale images can hardly distinguish the contour, and the details are blurred.

Application field 1: Pathological detecting

Phase contrast imaging of pathological sections containing white calcified tumor tissue versus absorption imaging. Phase contrastimaging is rich in detail, and the white calcification is more accurately recognized.

Application field 2: Glue detecting

Analyze the glue dispersion range and directly feedback the adhesive effect. The glue application range is clearly identifiable.

Application field 3: Glue detecting

Clearly display the distribution status of glue bubbles, automatically judge and identify bubbles, and analyze the number and size of bubbles.

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