Empirical Bayes Estimation of Tissue Scatterer Distribution from Ultrasonic Echo
Date
12-Nov-2017
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Abstract
In ultrasonic medical imaging, in addition to the
boundaries of organs, blood vessels, etc., speckle patterns generated
as interference of echoes from small scatterers in living
tissue are often observed. Speckle pattern has information on
the tissue properties and can be efficiently used as local position
information for measuring tissue motions, for example. On the
other hand, these are the main factor for lowering the image
resolution. In this study, we aim to improve the resolution
of ultrasonic imaging by restoring the scatterer distribution
within the tissues from the echo. Statistics calculated from the
restored scatterer distribution are expected to contribute to the
construction of new indicators for tissue properties diagnosis.
boundaries of organs, blood vessels, etc., speckle patterns generated
as interference of echoes from small scatterers in living
tissue are often observed. Speckle pattern has information on
the tissue properties and can be efficiently used as local position
information for measuring tissue motions, for example. On the
other hand, these are the main factor for lowering the image
resolution. In this study, we aim to improve the resolution
of ultrasonic imaging by restoring the scatterer distribution
within the tissues from the echo. Statistics calculated from the
restored scatterer distribution are expected to contribute to the
construction of new indicators for tissue properties diagnosis.