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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151506
Doc. No : ET23298
Main Entry : Lei Sui
Title Proper : Automated Left Ventriculogram Boundary Delineat ion
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Heart diseases are the leading cause of death in the US. Left ventriculogram (LVG)is widely used for diagnosis and prognosis of left ventricle (LV) diseases. End dias-tole (ED) and end systole (ES) boundaries from LVG are interested in because oftheir importance of assessing heart diseases. Currently manual tracing is the onlyreliable way to obtain these boundaries, which is tedious. Automated LVG boundarydelineation has been studied for decades, but none have ever been able to compare tomanual tracing in terms of accuracy.The goal of this project is to design some algorithms to delineate the ED and ESboundaries born LVGs so that the ED and ES volumes and ejection fraction (EF)derived fall into the interobserver variability range. In this dissertation, a systematic3-st age approach is discussed to fulfill the task, including a pixel Bayesian classifier,a shape calibrator and a rejection classifier.The pixel Bayesian classifier places the pixels in the image into 3 classes, thebackground class, the ED-not-ES class and ES class. Then ED and ES regions are....-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46535.pdf
Title and statement of responsibility and : Automated Left Ventriculogram Boundary Delineat ion [Thesis]
 
 
 
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