Acquisition and processing of the radio-frequency signal in echocardiography: a new global approach.

Recently there has been an increasing interest in the use of the "raw" radio-frequency (RF) signal generated in echocardiography for use in tissue-characterization to distinguish between normal and pathological myocardium, for automatic delineation of the endocardial border without being limited by the weak contrast of the traditional video images, and for use in contrast echography, where it could offer the possibility to visualize perfusion using intravenous contrast injections. One of the main problems in this kind of research is the acquisition of the signal having a high frequency and large bandwidth. We have developed a new global method for the acquisition of this RF signal. To digitize the data, a video sequencer is used. In this way it becomes possible to sample all available data generated by the echographic equipment during at least 1 s. This means that all data of the complete sector scan during a complete heart-cycle can be digitized without using any data reduction technique or triggering on the electrocardiogram. The advantage of this approach is that all characteristics of the signal can be studied, without being limited by data reduction techniques used during acquisition. This method enables us to calculate parameters such as "integrated backscatter," or to investigate the signal more extensively, e.g., by using spectrum analysis. We can compare different regions of the myocardium and examine them during the heart-cycle, all within the same beat. We have also written a software package for the processing of the large amount of data resulting from the acquisition.

[1]  Patrick Wambacq,et al.  LUCI: a portable software package for different fields of image processing research , 1992, Electronic Imaging.

[2]  J. G. Miller,et al.  Abnormal myocardial acoustic properties in diabetic patients and their correlation with the severity of disease. , 1992, Journal of the American College of Cardiology.

[3]  J. G. Miller,et al.  Quantitative characterization of myocardium with ultrasonic imaging. , 1988, The Journal of nuclear medicine and allied sciences.

[4]  J. G. Miller,et al.  On-line assessment of ventricular function by automatic boundary detection and ultrasonic backscatter imaging. , 1992, Journal of the American College of Cardiology.

[5]  T J Hall,et al.  Parametric Ultrasound Imaging from Backscatter Coefficient Measurements: Image Formation and Interpretation , 1990, Ultrasonic imaging.

[6]  N Bom,et al.  Ultrasonic myocardial integrated backscatter and myocardial wall thickness in animal experiments. , 1990, Ultrasound in medicine & biology.

[7]  Gary H. Glover,et al.  Spectral Characterization and Attenuation Measurements in Ultrasound , 1983 .

[8]  Samuel Meerbaum,et al.  Attenuation Correction in Echocardiography , 1986 .

[9]  L Landini,et al.  Normal Ultrasonic Myocardial Reflectivity in Athletes with Increased Left Ventricular Mass: A Tissue Characterization Study , 1992, Circulation.

[10]  R L Popp,et al.  Recent experience with ultrasonic tissue characterization. , 1992, The American journal of cardiology.

[11]  J E Heiserman,et al.  Ultrasonic tissue characterization: detection of acute myocardial ischemia in dogs. , 1985, Circulation.

[12]  F J Ten Cate,et al.  Safety and efficacy of a new transpulmonary ultrasound contrast agent: initial multicenter clinical results. , 1990, Journal of the American College of Cardiology.

[13]  J. G. Miller,et al.  Ultrasonic tissue characterization with integrated backscatter. Acute myocardial ischemia, reperfusion, and stunned myocardium in patients. , 1989, Circulation.

[14]  J W Miller,et al.  The Dependence of Ultrasonic Attenuation and Backscatter on Collagen Content in Dog and Rabbit Hearts , 1980, Circulation research.