Publication Type |
thesis |
School or College |
School of Medicine |
Department |
Biomedical Informatics |
Author |
Duncan, Jeffrey D. |
Title |
New numerical method for noninvasive cardiac output measurement |
Date |
1995-12 |
Description |
The Synchronous Tracer Injection method (STI), based on inert gas techniques for determining the distribution of ventilation with respect to the ratio of ventilation to perfusion in the lung, relies upon mathematical models to describe gas exchange relationships in the lung. Solution of these models requires optimization of systems of nonlinear equations, a task that is complicated by the sensitivity to noise and the lack of global convergence of conventional optimization algorithms, The Fast Randomized Input (FRI) method, loosely based on multistart global optimization techniques, was developed to provide global solutions to the STI model equations in the presence of noisy data. The FRI method was tested on a variety of V/Q distributions representing normal and diseased lungs at levels of noise as high as 4%. In addition, the effect of increased F-i-O-2 on the STI calculation of effective shunt was tested. Additionally, the effect of model complexity on the uncertainty of solutions is addressed, and considerations for choice of model complexity are discussed. |
Type |
Text |
Publisher |
University of Utah |
Subject |
Tracer Injection Method |
Subject MESH |
Cardiac Output; Heart Function Tests |
Dissertation Institution |
University of Utah |
Dissertation Name |
MS |
Language |
eng |
Relation is Version of |
Digital reproduction of "New numerical method for noninvasive cardiac output measureme". Spencer S. Eccles Health Sciences Library. Print version of "New numerical method for noninvasive cardiac output measureme" available at J. Willard Marriott Library Special Collection. RC39.5 1995 .D85. |
Rights Management |
© Jeffrey D. Duncan. |
Format Medium |
application/pdf |
Format Extent |
1,028,218 bytes |
Identifier |
undthes,4122 |
Source |
Original: University of Utah Spencer S. Eccles Health Sciences Library (no longer available) |
Master File Extent |
1,028,255 bytes |
ARK |
ark:/87278/s6f191jw |
Setname |
ir_etd |
ID |
191246 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6f191jw |