Title :
Automated quantification in tissue Doppler imaging
Author :
Criton, AL ; Loupas, T. ; Routh, HF ; Pesque, PR
Author_Institution :
ATL Ultrasound, USA
Abstract :
Tissue Doppler mapping is an emerging Color Doppler imaging technology, which measures and displays the velocity of moving tissue such as the myocardium. Several clinical studies have shown that the ability to accurately measure myocardial velocity may prove a valuable diagnostic tool in characterizing regional heart function. To address these measurement needs, a quantification technique has been developed which combines grayscale edge detection with Doppler tracking to automatically trace the myocardial structures of interest on the M-mode image throughout the cardiac cycle. These traces are then used to obtain accurate velocity waveforms such as the mean velocity and velocity gradient waveforms within the myocardium. This paper provides an algorithmic description of the automated quantification technique, and presents an overview of some of the clinical results obtained so far
Keywords :
Doppler measurement; echocardiography; edge detection; medical image processing; muscle; ultrasonic velocity measurement; algorithmic description; automated quantification; automated quantification technique; clinical results; clinical studies; emerging Color Doppler imaging technology; medical diagnostic imaging; moving tissue velocity; myocardial structures tracing; myocardium; tissue Doppler imaging; Detectors; Gray-scale; Image edge detection; Myocardium; Signal processing algorithms; State estimation; Target tracking; Ultrasonic imaging; Ultrasonic variables measurement; Velocity measurement;
Conference_Titel :
Computers in Cardiology 1998
Conference_Location :
Cleveland, OH
Print_ISBN :
0-7803-5200-9
DOI :
10.1109/CIC.1998.731732