Automated analysis of Doppler ultrasound velocity flow diagrams

Author

Tschirren, Juerg ; Lauer, Ronald M. ; Sonka, Milan

Author_Institution

Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA

Volume

20

Issue

12

fYear

2001

Firstpage

1422

Lastpage

1425

Abstract

A highly automated method for the identification and quantization of maximum blood velocity curves from Doppler ultrasound flow diagrams is presented. The method uses an image processing scheme to analyze video-recorded image sequences of flow diagrams. The sequences are acquired, a sequence of images relating to chronological cardiac cycles is extracted, and a maximum blood velocity envelope is determined and quantified. The results are verified against hand-traced reference curves. Excellent correlation of r = 0.99 is achieved.

Keywords

Doppler measurement; biomedical ultrasonics; blood flow measurement; image sequences; medical image processing; ultrasonic velocity measurement; Doppler ultrasound velocity flow diagrams; chronological cardiac cycles; flow diagrams; hand-traced reference curves; highly automated method; maximum blood velocity curves quantization; video-recorded image sequences; Blood; Cities and towns; Envelope detectors; Frequency; Image analysis; Image processing; Image sequence analysis; Low pass filters; Quantization; Ultrasonic imaging; Algorithms; Arteries; Blood Flow Velocity; Brachial Artery; Electrocardiography; Humans; Image Enhancement; Linear Models; Models, Cardiovascular; Rheology;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.974936

Filename

974936