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dc.contributor.advisor von Ramm, Olaf T en_US
dc.contributor.author Guo, Yuan en_US
dc.date.accessioned 2012-09-04T13:17:39Z
dc.date.available 2012-09-04T13:17:39Z
dc.date.issued 2012 en_US
dc.identifier.uri http://hdl.handle.net/10161/5869
dc.description Thesis en_US
dc.description.abstract <p>In the United States, heart failure is a leading cause of hospitalization. The medical industry places great emphasis on diagnosing heart disease through cardiac metrics like ejection fraction. Left ventricular ejection fraction is a commonly used diagnostic indicator for heart efficiency and is measured with echocardiography through different volume calculation techniques. However, ejection fraction results can drastically vary from one examiner to another. Generally cardiologists still give ejection fraction measurements a plus or minus 10 percent error range. </p><p>A program developed at Duke called 4DViz is robust enough for users to process 3D ultrasound data. 4DViz allows examiners to determine heart chamber volumes by constructing a surface model over an imaged heart chamber with many mouse click inputs. Through 4DViz programming, a viable approach for calculating ejection fraction is attempted in this thesis. Using feature tracking, surface drawing, and voxel filling, the new approach aims to reduce examiner input and improve ejection fraction consistency. Water filled balloons were used to calibrate the algorithm's parameters. In testing, several volunteers were asked to use the 4DViz. Their results are compared to volume measurements where user input was standard. The results show promise and may remove some of the inconsistency behind ejection fraction measurements.</p> en_US
dc.subject Biomedical engineering en_US
dc.subject Medical imaging and radiology en_US
dc.subject 4DViz en_US
dc.subject Ultrasound en_US
dc.subject Volume en_US
dc.title Techniques for Quantitation of Left Ventricular Volume in Ultrasound Using 4DViz en_US
dc.type Thesis en_US
dc.department Biomedical Engineering en_US

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