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Home Healthcare Ultrasound Systems ARIETTA 750 DeepInsight ARIETTA 750 DeepInsight:Pure Image

ARIETTA 750 DeepInsight - Pure Image

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The high-end model that makes users feel closer to premium class performance such as DeepInsight technology.

The content on this page is intended to healthcare professionals and equivalents.

ARIETTA 750 DeepInsight Incorporates Three Imaging Technologies

DeepInsight, which is an advanced noise reduction technology, eFocusing PLUS and Carving Imaging. The combination of these technologies enhances the signal from the tissues and delivers higher image quality with far less examiner dependency.

DeepInsight Technology
Realize high visibility by rich gradation expression

High visibility is realized in observation area. DeepInsight Technology, which used AI technology*1 in the development of image processing, is evolved to distinguish electrical noises and extract more tissue information so that images with rich gradation can be provided.

eFocusing PLUS
Extract the whole image homogeneously

In addition to the sensitivity improvement, homogenous images can be acquired with high resolution in wider area of display. It is expected to prevent the overlook of information in wide area observations. eFocusing PLUS has enhanced tissue delineation performance as a result of its transmission beam design change and evolution of receiving technology.

Focused at all depths

Carving Imaging
Emphasize the tissue structure keeping the tissue expression

Tissue structures such as vessel wall can be delineated clearly keeping the texture and the expression of surrounding tissue. The evolved edge emphasis processing technology can extract the structures effectively.

Pure Symphonic Architecture

Definite imaging technologies succeeded from premium class models delivers all users high image quality that allows the detection of even fine changes.

  • *1 The technology was developed and designed using machine learning, one of AI technologies.
    The performance and accuracy of the system do not automatically change after implementation.