The content on this page is intended to healthcare professionals and equivalents.
Skin lines and nipple positions extracted from past images are projected onto the exposure table surface, making it possible to capture images that can be easily compared with past images. To compare the right and left breasts, the image of the opposite side can be inverted and projected onto the table.
Supports technologists in improving their imaging skills by using AI technology to analyze positioning from the images taken.
FUJIFILM’s medical AI technology brand "REiLI" aims to realize better medical care by combining the image processing technology that FUJIFILM has cultivated to date with cutting-edge AI technologies to provide diagnostic support for doctors in diagnostic imaging and improve workflow efficiency.
With one compression, it continuously performs low tube voltage (low energy) imaging close to the conventional mammography imaging and high tube voltage (high energy) imaging with a Cu filter, and automatically generates and displays a subtraction image of the obtained images.
This function reduces the compression pressure within the range (± 3 mm) where the thickness of the breast does not change after the completion of normal breast compression and therefore reduces the pain of the patient. The hysteresis*1 phenomenon is used to reduce the time that the pressure is at maximum pressure compared to normal compression methods.
Easy to use.
The position of the mammary gland in the breast is analyzed from pre-shot images taken at a low dose. Only the mammary gland area is used, enabling imaging with appropriate technical factors and dose. Even breast implants, for which it is often difficult to determine the correct manual technique can be automatically imaged by identifying the area of the implant.
Automatically selects the appropriate mammary gland area from pre-shot images
The technician can select the area manually during positioning, imagining the location of the mammary glands
Automatically selects the appropriate sensor from pre-shot images
Immediately after imaging, the AWS console automatically assesses the mammary gland volume and outputs the analyzed values to a DICOM Tag. Density Category thresholds can be set arbitrarily. It can assess not only the breast area but also the mammary gland volume in the mammary gland area.