Detection and measurement of fetal abdominal contour in ultrasound images via local phase information and iterative randomized hough transform

Weiming Wang, Jing Qin, Lei Zhu, Dong Ni, Yim Pan Chui, Pheng Ann Heng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

Due to the characteristic artifacts of ultrasound images, e.g., speckle noise, shadows and intensity inhomogeneity, traditional intensity-based methods usually have limited success on the segmentation of fetal abdominal contour. This paper presents a novel approach to detect and measure the abdominal contour from fetal ultrasound images in two steps. First, a local phase-based measure called multiscale feature asymmetry (MSFA) is de ned from the monogenic signal to detect the boundaries of fetal abdomen. The MSFA measure is intensity invariant and provides an absolute measurement for the signi cance of features in the image. Second, in order to detect the ellipse that ts to the abdominal contour, the iterative randomized Hough transform is employed to exclude the interferences of the inner boundaries, after which the detected ellipse gradually converges to the outer boundaries of the abdomen. Experimental results in clinical ultrasound images demonstrate the high agreement between our approach and manual approach on the measurement of abdominal circumference (mean sign difference is 0.42% and correlation coef cient is 0.9973), which indicates that the proposed approach can be used as a reliable and accurate tool for obstetrical care and diagnosis.
Original languageEnglish
Pages (from-to)1261-1267
Number of pages7
JournalBio-Medical Materials and Engineering
Volume24
Issue number1
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

Keywords

  • fetal abdominal contour
  • iterative randomized Hough transform
  • multiscale feature asymmetry
  • Ultrasound images

ASJC Scopus subject areas

  • Biomaterials
  • Biomedical Engineering

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