Joint probability discrimination between stationary tissue and blood velocity signals

Malene Schlaikjer, Jørgen Arendt Jensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

241 Downloads (Pure)


In CFM-mode the blood velocity estimates are overlaid onto the B-mode image. The velocity estimation gives non-zero velocity estimates in both the surrounding tissue and the vessels. A discrimination algorithm is needed to determine, which estimates represent blood flow and should be displayed. This study presents a new statistical discriminator. Investigation of the RF-signals reveals that features can be derived that distinguish the segments of the signal, which do an do not carry information on the blood flow. In this study 4 features, have been determined: (a) the energy content in the segments before and after echo-canceling, and (b) the amplitude variations between samples in consecutive RF-signals before and after echo-canceling. The statistical discriminator was obtained by computing the probability density functions (PDFs) for each feature through histogram analysis of data. The discrimination is performed by determining the joint probability of the features for the segment under investigation and choosing the segment type that is most likely. The method was tested on simulated data resembling RF-signals from the carotid artery.
Original languageEnglish
Title of host publication2001 IEEE International Ultrasonic Symposium Proceedings
Publication date2001
ISBN (Print)0-7803-7177-1
Publication statusPublished - 2001
EventIEEE International Ultrasonic Symposium 2001 - Atlanta, GA, United States
Duration: 7 Oct 200110 Oct 2001


ConferenceIEEE International Ultrasonic Symposium 2001
CountryUnited States
CityAtlanta, GA
SeriesI E E E International Ultrasonics Symposium. Proceedings

Bibliographical note

Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

Fingerprint Dive into the research topics of 'Joint probability discrimination between stationary tissue and blood velocity signals'. Together they form a unique fingerprint.

Cite this