Joint probability discrimination between stationary tissue and blood velocity signals

Malene Schlaikjer, Jørgen Arendt Jensen

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Abstract

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
Volume1-2
PublisherIEEE
Publication date2001
Pages1397-1400
ISBN (Print)0-7803-7177-1
DOIs
Publication statusPublished - 2001
EventIEEE International Ultrasonic Symposium 2001 - Atlanta, GA, United States
Duration: 7 Oct 200110 Oct 2001

Conference

ConferenceIEEE International Ultrasonic Symposium 2001
CountryUnited States
CityAtlanta, GA
Period07/10/200110/10/2001
SeriesI E E E International Ultrasonics Symposium. Proceedings
ISSN1051-0117

Bibliographical note

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