Authors:
Brian Booth
and
Xiaobo Li
Affiliation:
University of Alberta, Canada
Keyword(s):
Ultrasound Image Processing, Boundary Point Detection, Gumbel Distribution, log-Wiebull Distribution, A-Mode Ultrasound, Data Fitting, Segmentation.
Related
Ontology
Subjects/Areas/Topics:
Image and Video Processing, Compression and Segmentation
;
Multimedia
;
Multimedia Signal Processing
;
Telecommunications
Abstract:
Due to high noise, low contrast, and other imaging artifacts, region boundaries in ultrasound images often do not conform to the assumptions of many image processing algorithms. Specifically, the beliefs that region boundaries have a high gradient magnitude or a high intensity can break down in this context. In this paper, we present an alternative way of detecting likely boundary points in ultrasound images by decomposing the image into
one-dimensional intensity scans. These intensity scans, mimicking traditional A-Mode ultrasound, are modeled using Gumbel distributions. Results show that the relationship between the modes of these distributions and regions boundaries is relatively strong.