Title page for ETD etd-030408-151600

Document Type phd report

Author Name Huang, Xueying

Email Address xueying at wpi.edu

URN etd-030408-151600

Title Segmentation of Patient-Specific 3D Cardiac Magnetic Resonance Images of Human Right Ventricle

Degree PhD

Department Mathematical Sciences

Advisors
Dalin Tang, Advisor
Tal Geva, Co-Advisor
Andrew J. Powell, Co-Advisor

Keywords
CMRI
segmentation
digital contour
right ventricle
ventricle function analysis

Date of Presentation/Defense 2008-03-13

Availability unrestricted

Abstract
Right Ventricular (RV) dysfunction is a common cause of heart failure in patients with congenital heart defects and often leads to impaired functional capacity and premature death. 3D cardiac magnetic resonance imaging (CMR)-based RV/LV combination models with fluid-structure interactions have been introduced to perform mechanical analysis and optimize RV remodeling surgery. Obtaining accurate RV/LV morphology is a very important step in the model-constructing process. A semi-automatic segmentation process was introduced in this project to obtain RV/LV/Valve geometry from patient-specific 3D CMR images. A total of 420 contour results were obtained from one patient CMRI data using QMASS software package at Department of Cardiology of Children’s hospital. The digital contour data were automatically acquired using a self-developed program written in MATLAB. 3D visualizations of the RV/LV combination model at different phases throughout the cardiac cycle were presented and RV/LV volume curves were given showing the volume variation based on digital contour data under MATLAB environment. For the patient considered, the RV stoke volume (SV) is 190.8 ml (normal value is 60-136 ml) and ejection fraction is 43.5% (normal value is 47%-63%). In future work, the surgical, CMR imaging and computational modeling will be integrated together to optimize patch design and RV volume reduction surgery procedures to maximize recovery of RV cardiac function.

Files
H_Proj_final.pdf

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Document Type	phd report
Author Name	Huang, Xueying
Email Address	xueying at wpi.edu
URN	etd-030408-151600
Title	Segmentation of Patient-Specific 3D Cardiac Magnetic Resonance Images of Human Right Ventricle
Degree	PhD
Department	Mathematical Sciences
Advisors	Dalin Tang, Advisor Tal Geva, Co-Advisor Andrew J. Powell, Co-Advisor
Keywords	CMRI segmentation digital contour right ventricle ventricle function analysis
Date of Presentation/Defense	2008-03-13
Availability	unrestricted
Abstract Right Ventricular (RV) dysfunction is a common cause of heart failure in patients with congenital heart defects and often leads to impaired functional capacity and premature death. 3D cardiac magnetic resonance imaging (CMR)-based RV/LV combination models with fluid-structure interactions have been introduced to perform mechanical analysis and optimize RV remodeling surgery. Obtaining accurate RV/LV morphology is a very important step in the model-constructing process. A semi-automatic segmentation process was introduced in this project to obtain RV/LV/Valve geometry from patient-specific 3D CMR images. A total of 420 contour results were obtained from one patient CMRI data using QMASS software package at Department of Cardiology of Children’s hospital. The digital contour data were automatically acquired using a self-developed program written in MATLAB. 3D visualizations of the RV/LV combination model at different phases throughout the cardiac cycle were presented and RV/LV volume curves were given showing the volume variation based on digital contour data under MATLAB environment. For the patient considered, the RV stoke volume (SV) is 190.8 ml (normal value is 60-136 ml) and ejection fraction is 43.5% (normal value is 47%-63%). In future work, the surgical, CMR imaging and computational modeling will be integrated together to optimize patch design and RV volume reduction surgery procedures to maximize recovery of RV cardiac function.
Files	H_Proj_final.pdf