Adaptive Image Processing (AIP)
Using the Adaptive Image Processing (AIP), speckle noises are reduced while maintaining the clear boundary of a tissue as depicted by the reception signals. In addition, different tissues are displayed at different levels of brightness with AIP.
To examine the tissue structure, the system needs to reduce the speckles and identify and selectively enhance the boundary.
Ultrasound diagnosis of solid organs has been based on the examination of the difference of speckle patterns. In other image diagnosis modalities (CT and MRI), the same tissue is shown by the same brightness and heterogeneous tissues are represented by a different level of brightness. With the ultrasound system, the sonographer need not scrutinize the speckle patterns by narrowing the eyes to detect differences, but can easily differentiate the tissues by looking at the difference in brightness. Unlike the general speckle removal techniques, AIP does not spoil the resolution or the amount of information contained in the original images. The AIP image processing function is useful when it is difficult to see the differences of tissues.
ACC, Relief and FTC are image processing techniques used to highlight the boundary or profile of a tissue in the depth direction. AIP is a technique to clearly display the difference of tissues by stressing the features of signals of the two-dimensional plane. This image processing technique does not affect the frame rate.
Adaptive Image Processing (AIP) for speckle reduction: AIP clearly displays differences in tissues, reducing speckle noise while maintaining the frame rate. It can also display outlines more clearly by selectively emphasizing boundaries.