Intra-left ventricular blood flow analysis to determine cardiac performance and dysfunction indices

Heart failure (HF) is one of the most common diseases in the developed world and is increasingly prevalent in developing countries, especially among the ageing population. It causes left ventricular (LV) dysfunction, involves high healthcare cost and has high mortality. Traditionally, HF patients we...

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Main Author: Le, Thu Thao
Other Authors: Tan Ru San
Format: Theses and Dissertations
Language:English
Published: 2016
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Online Access:https://hdl.handle.net/10356/68257
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-682572023-03-11T17:56:53Z Intra-left ventricular blood flow analysis to determine cardiac performance and dysfunction indices Le, Thu Thao Tan Ru San Sridhar Idapalapati School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering Heart failure (HF) is one of the most common diseases in the developed world and is increasingly prevalent in developing countries, especially among the ageing population. It causes left ventricular (LV) dysfunction, involves high healthcare cost and has high mortality. Traditionally, HF patients were grouped into diastolic HF and systolic HF. However, these terms are now abandoned due to the fact that diastolic dysfunction exists in all symptomatic HF patients and systolic dysfunction, to a lesser extent, has been observed in diastolic HF. HF patients are currently stratified based on their LV ejection fraction (EF), which is a measure of systolic performance, into HF with preserved EF (HFpEF) and reduced EF (HFrEF). Although HFpEF is becoming prevalent, due to its complex mixture of diastolic and systolic dysfunction, as well as various degrees of LV remodelling, it remains a challenge to diagnose and provide pharmalogical therapies to HFpEF and thus, treatment and prognosis of HFpEF are mostly unaltered for the past 3 decades. With the advancement of non-invasive cardiac imaging modalities in recent years, cardiac haemodynamic information, which is crucial to diagnosis and disease management, can now be directly measured or derived without the need for invasive catheterization. In this thesis, intra-left ventricular flow was derived from echocardiographic colour Doppler flow images using vector flow mapping (VFM) technique. In chapter 3, intra-LV flow patterns of HF patients with different extent of diastolic and systolic dysfunction, as well as normal controls were described in both diastole and systole. From the flow information obtained using VFM, quantitative assessment of LV diastolic and systolic performance was then developed and applied to small groups of HF patients in the following chapters. DOCTOR OF PHILOSOPHY (MAE) 2016-05-25T04:19:12Z 2016-05-25T04:19:12Z 2016 Thesis Le, T. T. (2016). Intra-left ventricular blood flow analysis to determine cardiac performance and dysfunction indices. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/68257 10.32657/10356/68257 en 143 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Le, Thu Thao
Intra-left ventricular blood flow analysis to determine cardiac performance and dysfunction indices
description Heart failure (HF) is one of the most common diseases in the developed world and is increasingly prevalent in developing countries, especially among the ageing population. It causes left ventricular (LV) dysfunction, involves high healthcare cost and has high mortality. Traditionally, HF patients were grouped into diastolic HF and systolic HF. However, these terms are now abandoned due to the fact that diastolic dysfunction exists in all symptomatic HF patients and systolic dysfunction, to a lesser extent, has been observed in diastolic HF. HF patients are currently stratified based on their LV ejection fraction (EF), which is a measure of systolic performance, into HF with preserved EF (HFpEF) and reduced EF (HFrEF). Although HFpEF is becoming prevalent, due to its complex mixture of diastolic and systolic dysfunction, as well as various degrees of LV remodelling, it remains a challenge to diagnose and provide pharmalogical therapies to HFpEF and thus, treatment and prognosis of HFpEF are mostly unaltered for the past 3 decades. With the advancement of non-invasive cardiac imaging modalities in recent years, cardiac haemodynamic information, which is crucial to diagnosis and disease management, can now be directly measured or derived without the need for invasive catheterization. In this thesis, intra-left ventricular flow was derived from echocardiographic colour Doppler flow images using vector flow mapping (VFM) technique. In chapter 3, intra-LV flow patterns of HF patients with different extent of diastolic and systolic dysfunction, as well as normal controls were described in both diastole and systole. From the flow information obtained using VFM, quantitative assessment of LV diastolic and systolic performance was then developed and applied to small groups of HF patients in the following chapters.
author2 Tan Ru San
author_facet Tan Ru San
Le, Thu Thao
format Theses and Dissertations
author Le, Thu Thao
author_sort Le, Thu Thao
title Intra-left ventricular blood flow analysis to determine cardiac performance and dysfunction indices
title_short Intra-left ventricular blood flow analysis to determine cardiac performance and dysfunction indices
title_full Intra-left ventricular blood flow analysis to determine cardiac performance and dysfunction indices
title_fullStr Intra-left ventricular blood flow analysis to determine cardiac performance and dysfunction indices
title_full_unstemmed Intra-left ventricular blood flow analysis to determine cardiac performance and dysfunction indices
title_sort intra-left ventricular blood flow analysis to determine cardiac performance and dysfunction indices
publishDate 2016
url https://hdl.handle.net/10356/68257
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