Study of Coronary Sinus Flow Reserve Through Transesophageal Doppler Echocardiography in Normal Subjects

OBJECTIVE - To evaluate the Coronary Flow Reserve in the Coronary Sinus through transesophageal Doppler echocardiography in normal subjects. METHODS - We obtained technically adequate flow samples for analysis in 10 healthy volunteers (37±8 years, 5 men) with no history of heart or systemic disease and with mean left ventricular mass index by transthoracic echocardiography of 87±18 g/m². Coronary sinus flow velocity was recorded within the coronary sinus with the patient in a resting condition and during intravenous adenosine infusion at a dose of 140 µg/kg/min for 4 minutes. Recording of coronary sinus blood flow was possible in all cases with measurement of peak systolic, diastolic, and retrograde velocities (PSV, PDV, and PRV, cm/sec), mean systolic and diastolic velocities (MSV and MDV, cm/sec), and systolic and diastolic velocity time integral (VTI S and VTI D, cm/sec). RESULTS - The coronary flow reserve was calculated as the ratio between the blood flow in the basal state and the maximum measured hyperemic blood flow with adenosine infusion. Results are shown as mean and standard deviations. (CFR = PSV + PDV -- PRV/basal PSV): 1st min = 2.2±0.21; 2nd min = 3±0.3; 3rd min = 3.4±0.37; 4th min = 3.6 ± 0.33. CONCLUSION - Although coronary sinus flow had significantly increased in the first minute, higher velocities were seen at third and fourth minutes, indicating that these should be the best times to study coronary sinus flow with intravenous adenosine in continuous infusion.

Tableau encyclopedique et methodique des trois règnes de la nature: Botanique.

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Tableau encyclopedique et methodique des trois règnes de la nature: Botanique.

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Tableau encyclopedique et methodique des trois règnes de la nature: Botanique.

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Development of a semi-automatic self learning pattern recognition system for the control of electronic boards

This project was funded under the Applied Research Grants Scheme administered by Enterprise Ireland. The project was a partnership between Galway - Mayo Institute of Technology and an industrial company, Tyco/Mallinckrodt Galway. The project aimed to develop a semi - automatic, self - learning pattern recognition system capable of detecting defects on the printed circuits boards such as component vacancy, component misalignment, component orientation, component error, and component weld. The research was conducted in three directions: image acquisition, image filtering/recognition and software development. Image acquisition studied the process of forming and digitizing images and some fundamental aspects regarding the human visual perception. The importance of choosing the right camera and illumination system for a certain type of problem has been highlighted. Probably the most important step towards image recognition is image filtering, The filters are used to correct and enhance images in order to prepare them for recognition. Convolution, histogram equalisation, filters based on Boolean mathematics, noise reduction, edge detection, geometrical filters, cross-correlation filters and image compression are some examples of the filters that have been studied and successfully implemented in the software application. The software application developed during the research is customized in order to meet the requirements of the industrial partner. The application is able to analyze pictures, perform the filtering, build libraries, process images and generate log files. It incorporates most of the filters studied and together with the illumination system and the camera it provides a fully integrated framework able to analyze defects on printed circuit boards.

The system of animate nature; the Gifford lectures delivered in the University of St. Andrews in the years 1915 and 1916, by J. Arthur Thomson.

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The system of animate nature; the Gifford lectures delivered in the University of St. Andrews in the years 1915 and 1916, by J. Arthur Thomson.

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