The heart disease is caused by the alterations in the biological tissue of its muscles. The myocardium alterations have been analysed and evaluated on echocardiographic images. The statistical parameters of the heart texture on the defined region of interest present information about the state of myocardium. There are hundreds of the texture parameters, which could be used to evaluate the heart tissue structure. The goal was to choose the most informative ones by applying the statistical analysis techniques. The Fisher statistics has been applied for hypothesis testing to define the most informative texture parameters. The data for the certain position of a transducer has been compiled for sound and heart patients. Two kinds of echocardiographic images (native and harmonic ones) have been used for analysis. The most informative texture parameters on evaluating changes in myocardium structure proved to be: local mean intensity, the form of local histogram, local variance and run-length nonuniformity. The statistical analysis was limited to the measurements of the most informative position of the transducer from the compiled database.