Decision-directed line detection with application to medical ultrasound

Richard N. Czerwinski, Douglas L. Jones, William D. O'Brien

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents a method of enhancing linear and curvilinear image features, such as those corresponding to tissue discontinuities in medical ultrasound. The method is an extension of a template based technique for line enhancement which produces a test statistic at each point by projecting the pixels near that point onto a line segment, varying the orientation of the segment to maximize the projected value, and retaining the projected value as the test statistic. In the past, we have not made use of information about which angle produced the maximum value at each point. In this paper, we compute a histogram of the angles near each point to gain an indication of the direction of larger scale linear features lying nearby. Mathematically, we wish to estimate a set of prior probabilities for the orientation of line segments that pass through each point. The priors can then be used to improve the power of the Bayesian line detection procedure. In addition, they can also be used to improve the visual quality of the image produced by plotting the test statistics on an image raster. We have found that such an image is revealing because it shows more sharply the edges of the linear components, making them more clearly visible and their fringes more distinguishable from the background. With the incorporation of prior information, the processed image shows a further improvement in visual and machine detectability of linear components, due to increased difference in gray level between points lying on edges and those lying away. This technique has potential to significantly improve the machine detectability of tissue discontinuities in medical ultrasound, as well as linear features in other forms of computed imaging.

Original languageEnglish (US)
Pages (from-to)698-708
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2710
DOIs
StatePublished - Dec 1 1996
EventMedical Imaging 1996 Image Processing - Newport Beach, CA, United States
Duration: Feb 12 1996Feb 15 1996

Keywords

  • Boundary detection
  • Detection theory
  • Image enhancement
  • Speckle imaging
  • Ultrasound

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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