Bone Surface Localization in Ultrasound Using Image Phase-Based Features

Ilker Hacihaliloglu, Rafeef Abugharbieh, Antony J. Hodgson, Robert N. Rohling

Research output: Contribution to journalArticlepeer-review

105 Scopus citations

Abstract

Current practice in orthopedic surgery relies on intraoperative fluoroscopy as the main imaging modality for localization and visualization of bone tissue, fractures, implants and surgical tool positions. Ultrasound (US) has recently emerged as a potential nonionizing imaging alternative that promises safer operation while remaining relatively cheap and widely available. US images, however, often depict bone structures poorly, making automatic, accurate and robust localization of bone surfaces quite challenging. In this paper, we present a novel technique for automatic bone surface localization in US that uses local phase image information to derive symmetry-based features corresponding to tissue/bone interfaces through the use of 2-D Log-Gabor filters. We validate the performance of the proposed approach quantitatively using realistic phantom and in vitro experiments as well as qualitatively on in vivo data. Results demonstrate that the proposed technique detects bone surfaces with a localization mean error below 0.40 mm. Furthermore, small gaps between bone fragments can be detected with fracture displacement mean error below 0.33 mm for vertical misalignments, and 0.47 mm for horizontal misalignments. (E-mail: rafeef@ece.ubc.ca).

Original languageEnglish (US)
Pages (from-to)1475-1487
Number of pages13
JournalUltrasound in Medicine and Biology
Volume35
Issue number9
DOIs
StatePublished - Sep 2009
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Biophysics
  • Acoustics and Ultrasonics

Keywords

  • Bone segmentation
  • Fracture detection
  • Local phase features
  • Log-Gabor filters
  • Orthopaedic surgery
  • Phase symmetry
  • Ultrasound imaging

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