Bandwidth of the ultrasound Doppler signal with applications in blood/tissue segmentation in the left ventricle

Sigve Hovda*, Haavard Rue, Bjørn Olstad

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A new estimator, Bandwidth Imaging, related to the bandwidth of the ultrasound Doppler signal is proposed as a classification function of blood and tissue signal in transthoracial echocardiography of the left ventricle. An in vivo experiment is presented, where the apparent error rate of Bandwidth Imaging is compared with the apparent error rate of Second-Harmonic Imaging on 15 healthy men. The apparent error rates are calculated from the 16 myocardial wall segments defined in [1]. A hypothesis test of Bandwidth Imaging having lower apparent error rate than Second-Harmonic Imaging is proved for a p-value of 0.94 in 3 segments in end diastole and in 1 segment in end systole. When data was averaged by a structural element of 5 radial, 3 lateral and 4 temporal samples the numbers of segments increased to 9 in end diastole and to 6 in end systole. This experiment indicates that Bandwidth Imaging can supply additional information for automatic border detection routines on endocardium.

Original languageEnglish (US)
Title of host publicationMedical Imaging and Informatics - 2nd International Conference, MIMI 2007, Revised Selected Papers
Pages233-242
Number of pages10
DOIs
StatePublished - Jul 1 2008
Event2nd International Conference on Medical Imaging and Informatics, MIMI 2007 - Beijing, China
Duration: Aug 14 2007Aug 16 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4987 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Medical Imaging and Informatics, MIMI 2007
CountryChina
CityBeijing
Period08/14/0708/16/07

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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