Published June 7, 2005 | Version v1
Journal article

Progress towards in vitro quantitative imaging of human femur using compound quantitative ultrasonic tomography

  • 1. Laboratoire de Mecanique et d'Acoustique UPR CNRS 7051, 31 chemin Joseph Aiguier, 13402 Marseille Cedex 20 (France)
  • 2. Laboratoire d'Imagerie Parametrique UMR CNRS 7623, 15, rue de l'Ecole de medecine, 75006 Paris (France)

Description

The objective of this study is to make cross-sectional ultrasonic quantitative tomography of the diaphysis of long bones. Ultrasonic propagation in bones is affected by the severe mismatch between the acoustic properties of this biological solid and those of the surrounding soft medium, namely, the soft tissues in vivo or water in vitro. Bone imaging is then a nonlinear inverse-scattering problem. In this paper, we showed that in vitro quantitative images of sound velocities in a human femur cross section could be reconstructed by combining ultrasonic reflection tomography (URT), which provides images of the macroscopic structure of the bone, and ultrasonic transmission tomography (UTT), which provides quantitative images of the sound velocity. For the shape, we developed an image-processing tool to extract the external and internal boundaries and cortical thickness measurements. For velocity mapping, we used a wavelet analysis tool adapted to ultrasound, which allowed us to detect precisely the time of flight from the transmitted signals. A brief review of the ultrasonic tomography that we developed using correction algorithms of the wavepaths and compensation procedures are presented. Also shown are the first results of our analyses on models and specimens of long bone using our new iterative quantitative protocol

Availability note (English)

Available online at http://stacks.iop.org/0031-9155/50/2633/pmb5_11_013.pdf or at the Web site for the journal Physics in Medicine and Biology (ISSN 1361-6560) http://www.iop.org/

Additional details

Publishing Information

Journal Title
Physics in Medicine and Biology
Journal Volume
50
Journal Issue
11
Journal Page Range
p. 2633-2649
ISSN
0031-9155
CODEN
PHMBA7