Deconvolution of In Vivo Ultrasound B-Mode Images

Jørgen Arendt Jensen, Bjarne Stage, Jan Mathorne, Torben Gravesen

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

An algorithm for deconvolution of medical ultrasound images is presented. The procedure involves estimation of the basic one-dimensional ultrasound pulse, determining the ratio of the covariance of the noise to the covariance of the reflection signal, and finally deconvolution of the rf signal from the transducer. Using pulse and covariance estimators makes the approach self-calibrating, as all parameters for the procedure are estimated from the patient under investigation. An example of use on a clinical, in-vivo image is given. A 2 × 2 cm region of the portal vein in a liver is deconvolved. An increase in axial resolution by a factor of 2.4 is obtained. The procedure can also be applied to whole images, when it is ensured that the rf signal is properly measured. A method for doing that is outlined.
Original languageEnglish
JournalUltrasonic Imaging
Volume15
Issue number2
Pages (from-to)122-133
ISSN0161-7346
DOIs
Publication statusPublished - 1993

Keywords

  • Signal processing
  • Estimation
  • Deconvolution
  • Image improvement

Fingerprint Dive into the research topics of 'Deconvolution of In Vivo Ultrasound B-Mode Images'. Together they form a unique fingerprint.

Cite this