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Preliminary reports of noninvasive accurate method to measure pulmonary vascular capacity in normal volunteers / 中国应用生理学杂志
Chinese Journal of Applied Physiology ; (6): 326-329, 2015.
Article in Chinese | WPRIM | ID: wpr-255023
ABSTRACT
<p><b>OBJECTIVE</b>Because the traditional loop of breathing control and regulation effect on blood circulation, there was rare study of pulmonary vein capacity. We need a noninvasive and accurate pulmonary vascular capacity measurement and analysis method.</p><p><b>METHODS</b>Twelve normal volunteers were performed a total lung CT scan, image data analysis processing by computer software, the whole lungs from the apex to the base of lung with 40-50 layers by hand-cut, the connection between adjacent layers automatically by a computer simulation, the full pulmonary vascular (≥ 0.6 mm) were treated by high-accuracy three-dimensional imaging technology after removing the interference, and then calculate the whole lung and pulmonary vascular.</p><p><b>RESULTS</b>The whole lung of the 12 normal volunteers from the apex to the base of lung CT scan image layers was 530 ± 98 (range, 431-841). The total capacity of lung and pulmonary vascular blood was 3705 ± 857 (range, 2398-5383) ml, and the total volume of the pulmonary vascular blood was 125 ± 32 (range, 94-201) ml. The pulmonary vein vascular blood volume was 63 ± 16 (range, 47-100) ml.</p><p><b>CONCLUSION</b>The method of measuring the three-dimensional imaging of pulmonary vascular capacity by analyzing lung CT scan data is available and accurate.</p>
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Computer Simulation / Image Processing, Computer-Assisted / Tomography, X-Ray Computed / Healthy Volunteers / Lung Limits: Humans Language: Chinese Journal: Chinese Journal of Applied Physiology Year: 2015 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Computer Simulation / Image Processing, Computer-Assisted / Tomography, X-Ray Computed / Healthy Volunteers / Lung Limits: Humans Language: Chinese Journal: Chinese Journal of Applied Physiology Year: 2015 Type: Article