
pmid: 15478975
Pulmonary blood volume quantification is important both for diagnosis and for monitoring of the circulatory system. It requires employment of transpulmonary indicator dilution techniques, which are very invasive due to the need for double catheterization. This paper presents a new minimally invasive technique for blood volume quantification. An ultrasound contrast agent bolus is injected peripherally and detected by an ultrasound transducer in the central circulation. Several echocardiographic views permit simultaneous detection of contrast in different cardiac cavities and central vessels, and acoustic backscatter measurements produce multiple indicator dilution curves (IDCs). Contrast mean-transit-time differences are derived from the IDC analysis and multiplied times cardiac output for the assessment of blood volumes between different detection sites. For pulmonary blood volume estimates, the right ventricle and the left atrium IDCs are measured. The mean transit time of the IDC is estimated by specific modelling. The Local Density Random Walk and the First Passage Time models were tested for IDC interpolation and interpretation. The system was validated in vitro for a wide range of flows. The results show very accurate volume measurements. The volume estimate determination coefficient is greater than 0.999 for both model fits. A preliminary study in patients shows promising results.
Pulmonary Circulation, Blood Volume, Blood Volume Determination, Phantoms, Imaging, Models, Cardiovascular, Contrast Media, Indicator Dilution Techniques, Reproducibility of Results, Image Enhancement, Sensitivity and Specificity, Echocardiography, Image Interpretation, Computer-Assisted, Computer Simulation, Algorithms, Blood Flow Velocity
Pulmonary Circulation, Blood Volume, Blood Volume Determination, Phantoms, Imaging, Models, Cardiovascular, Contrast Media, Indicator Dilution Techniques, Reproducibility of Results, Image Enhancement, Sensitivity and Specificity, Echocardiography, Image Interpretation, Computer-Assisted, Computer Simulation, Algorithms, Blood Flow Velocity
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