Joint probability discrimination between stationary tissue and blood velocity signals

Malene Schlaikjer; Jørgen Arendt Jensen

doi:10.1109/ULTSYM.2001.991982

Joint probability discrimination between stationary tissue and blood velocity signals

Malene Schlaikjer
, Jørgen Arendt Jensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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 language	English
Title of host publication	2001 IEEE International Ultrasonic Symposium Proceedings
Volume	1-2
Publisher	IEEE
Publication date	2001
Pages	1397-1400
ISBN (Print)	0-7803-7177-1
DOIs	https://doi.org/10.1109/ULTSYM.2001.991982
Publication status	Published - 2001
Event	2001 IEEE Ultrasonics Symposium - Atlanta, United States Duration: 7 Oct 2001 → 10 Oct 2001 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7781

Conference

Conference	2001 IEEE Ultrasonics Symposium
Country/Territory	United States
City	Atlanta
Period	07/10/2001 → 10/10/2001
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7781

Series	I E E E International Ultrasonics Symposium. Proceedings
ISSN	1051-0117

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

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title = "Joint probability discrimination between stationary tissue and blood velocity signals",

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.",

author = "Malene Schlaikjer and Jensen, \{J{\o}rgen Arendt\}",

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; 2001 IEEE Ultrasonics Symposium, IUS 2001 ; Conference date: 07-10-2001 Through 10-10-2001",

year = "2001",

doi = "10.1109/ULTSYM.2001.991982",

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Schlaikjer, M & Jensen, JA 2001, Joint probability discrimination between stationary tissue and blood velocity signals. in 2001 IEEE International Ultrasonic Symposium Proceedings. vol. 1-2, IEEE, I E E E International Ultrasonics Symposium. Proceedings, pp. 1397-1400, 2001 IEEE Ultrasonics Symposium, Atlanta, Georgia, United States, 07/10/2001. https://doi.org/10.1109/ULTSYM.2001.991982

Joint probability discrimination between stationary tissue and blood velocity signals. / Schlaikjer, Malene; Jensen, Jørgen Arendt.
2001 IEEE International Ultrasonic Symposium Proceedings. Vol. 1-2 IEEE, 2001. p. 1397-1400 (I E E E International Ultrasonics Symposium. Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Jensen, Jørgen Arendt

N1 - 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

PY - 2001

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N2 - 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.

AB - 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.

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DO - 10.1109/ULTSYM.2001.991982

M3 - Article in proceedings

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PB - IEEE

T2 - 2001 IEEE Ultrasonics Symposium

Y2 - 7 October 2001 through 10 October 2001

ER -

Joint probability discrimination between stationary tissue and blood velocity signals

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