A Protocol for Correction of Machine Dependency for Ultrasound Imaging

Abstract

When analyzing ultrasound images, the processed data depends strongly on the settings of the equipment. So, the overall gain, Time-Gain-Compensation(TGC) , Diffraction and Focusing, pre-and post processing of the gray levels, all play a role in the estimation of the texture parameters. To correct for these dependencies, we used images from tissue mimicking phantom with the same settings of the ultrasound equipment as during the clinical procedure. The acoustic properties of the phantom have been estimated in the device developed for acoustic microscopy.