Shimadzu Corporation

Takaya Yamamoto

Keiichi Tanno

Naoki Hasegawa

David Thibault Pelletier

An X-ray fluoroscopic imaging apparatus includes an imaging unit, an X-ray image acquisition unit configured to acquire an X-ray image, a target distribution learning identification unit for outputting distribution of a target appearing in an X-ray image using a learning model, an image quality improvement processing unit, and a display unit. The image quality improvement processing unit is configured to switch, using a learning identification result by a target distribution learning identification unit, between a first image processing mode for performing image quality improvement processing on an X-ray image and a second image processing mode for performing image quality improvement processing on the X-ray image without using the learning identification result.

X-ray fluoroscopic imaging apparatus

This X-ray fluoroscopic imaging apparatus is provided with: an imaging unit; an X-ray image acquisition unit for acquiring an X-ray image; a blood vessel extracted image acquisition unit for acquiring a blood vessel extracted image; a composite image generation unit for generating a second composite image in which the X-ray image and the blood vessel extracted image are composed; and a region of interest setting unit for setting a region of interest in which a device is reflected. The composite image generation unit is configured to generate the second composite image by aligning the positions of the X-ray image and the blood vessel extracted image, based on the device and the blood vessel image reflected in the region of interest.

X-ray fluoroscopic imaging apparatus and X-ray image processing method

In this radiation fluoroscopic imaging apparatus, an image processing unit is configured to generate a first image by performing first image processing that clarifies a blood vessel as an imaging target when capturing a plurality of contrast agent images and generate a plurality of second images used to generate a differential long image by performing second image processing.

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Kyoto, Japan

Takaya Yamamoto