On monitoring structural changes of anisotropic tissues by means of statistical analysis of ultrasonic images.
An investigation into statistical properties of ultrasonic image texture from three-dimensional clusters of anisotropic scatterers is carried out. The structural properties of the clusters are modeled after those of soft biological tissues, such as skeletal muscle tissues, both in their healthy condition and at the early stage of degenerative diseases. The average axial autocorrelation function of the intensity of the image texture is used to characterize and monitor changes of the geometrical properties of the tissue components. A distinct local increase of the autocorrelation is observed within a range of small time shifts, and it is explained in terms of the structure of the time-domain backscattered signal from each individual scatterer. It is shown that such an increase is sensitive to structural variations of the cluster similar to those occurring at the early stage of several muscular diseases.
Pecorari
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Department of Engineering Science & Mechanics, Pennsylvania State University, University Park 16802.
D016880:Anisotropy; D003627:Data Interpretation, Statistical; D006801:Humans; D008991:Monitoring, Physiologic; D009136:Muscular Dystrophies / Q000000981:diagnostic imaging; D014463:Ultrasonography