Abstract
We present the development and validation of an image based speckle tracking methodology, for determining temporal 2D axial and lateral displacement and strain
fields from ultrasound video streams. We refine a multiple scale region matching
approach incorporating novel solutions to known speckle tracking problems. Key
contributions include automatic similarity measure selection to adapt to varying
speckle density, quantifying trajectory fields and spatio-temporal elastograms.
Results are validated using tissue mimicking phantoms and \emph{in vitro} data,
before applying them to \emph{in vivo} musculoskeletal ultrasound sequences. The
method presented has the potential to improve clinical knowledge of tendon
pathology from carpel tunnel syndrome, inflammation from implants, sport injuries,
and many others.
| Translated title of the contribution | Computer vision elastography: speckle adaptive motion estimation for elastography using ultrasound sequences |
|---|---|
| Original language | English |
| Pages (from-to) | 755 - 766 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Medical Imaging |
| Volume | 24 (6) |
| DOIs | |
| Publication status | Published - Jun 2005 |