Title :
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
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;
Journal_Title :
Medical Imaging, IEEE Transactions on
