1 July 1990 Application of statistical pattern recognition and image processing in ultrasound tissue characterization
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Abstract
This paper consists of two parts. The first part considers the limitations imposed by statistical properties of ultrasound images. Through this analysis the minimum detectable tumor size from an ultrasound Bscan using the current state of the art is determined the second part describes an improvement to a successful tissue-characterization algorithm that adds several image processing steps to compute the tissuecharacterization features. The inclusion of such steps will enable the tissue-characterization algorithm to take advantage of visual cues similar to those that a clinician would use to differentiate various organs and segments of the image. This in turn expands the applicability of the present tissue-characterization algorithm from multivariate to multiorgan and multidisease cases.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Reza Momenan, Reza Momenan, Murray H. Loew, Murray H. Loew, Robert F. Wagner, Robert F. Wagner, Brian S. Garra, Brian S. Garra, Michael F. Insana, Michael F. Insana, } "Application of statistical pattern recognition and image processing in ultrasound tissue characterization", Proc. SPIE 1233, Medical Imaging IV: Image Processing, (1 July 1990); doi: 10.1117/12.18906; https://doi.org/10.1117/12.18906
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