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Assessment of hemodynamic parameters using 4D Flow MRI

Andersson, Mattias LU (2018) In Master’s Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering)
Abstract
Heart disease is one of the worldwide leading causes of death, and facilitating the work of physicians in this area is therefore of great importance. Imaging of the heart is one of many fields that is used for diagnosis and analysis of cardiac disease. Within this field, Magnetic Resonance Imaging (MRI) is a non-invasive technique that allows for acquisition of high quality images.

Blood flow throughout the healthy human body seems to follow certain patterns. Changes in the blood flow behaviour through the heart can be observed in the presence of cardiac disease. For the cardiac system, blood flow and parameters related to blood flow are important markers for such disease. This thesis aims to create a tool that uses blood flow data... (More)
Heart disease is one of the worldwide leading causes of death, and facilitating the work of physicians in this area is therefore of great importance. Imaging of the heart is one of many fields that is used for diagnosis and analysis of cardiac disease. Within this field, Magnetic Resonance Imaging (MRI) is a non-invasive technique that allows for acquisition of high quality images.

Blood flow throughout the healthy human body seems to follow certain patterns. Changes in the blood flow behaviour through the heart can be observed in the presence of cardiac disease. For the cardiac system, blood flow and parameters related to blood flow are important markers for such disease. This thesis aims to create a tool that uses blood flow data obtained from four-dimensional Flow MRI (4D Flow MRI) to calculate and assess hemodynamic (blood flow related) parameters that reflect such alterations in blood flow.

This hemodynamic assessment tool allows for easy visualisation and comparison of parameters in different regions of the heart, including the four cardiac chambers, aorta and pulmonary artery. Furthermore, the output of the tool allows for statistical analysis of hemodynamic parameters.

The tool was applied to a cohort of 4D Flow data sets. Examples of parameter visualisations are provided, and a statistical analysis of the parameters with regards to left ventricular ejection fraction was performed. This analysis was performed using self-organising feature maps, but did not show any significant results. This may be due to the heterogeneity of the data however, and not due to the tool in itself. (Less)
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author
Andersson, Mattias LU
supervisor
organization
course
FMAM05 20181
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Hemodynamics, Hemodynamic Parameters, 4D Flow, 4D Flow MRI, Blood flow, Cardiac Disease, Heart Disease, MRI, Magnetic Resonance Imaging, Visualisation
publication/series
Master’s Theses in Mathematical Sciences
report number
LUTFMA-3352-2018
ISSN
1404-6342
other publication id
2018:E34
language
English
id
8947058
date added to LUP
2018-06-19 16:19:41
date last changed
2018-06-19 16:19:41
@misc{8947058,
  abstract     = {Heart disease is one of the worldwide leading causes of death, and facilitating the work of physicians in this area is therefore of great importance. Imaging of the heart is one of many fields that is used for diagnosis and analysis of cardiac disease. Within this field, Magnetic Resonance Imaging (MRI) is a non-invasive technique that allows for acquisition of high quality images. 

Blood flow throughout the healthy human body seems to follow certain patterns. Changes in the blood flow behaviour through the heart can be observed in the presence of cardiac disease. For the cardiac system, blood flow and parameters related to blood flow are important markers for such disease. This thesis aims to create a tool that uses blood flow data obtained from four-dimensional Flow MRI (4D Flow MRI) to calculate and assess hemodynamic (blood flow related) parameters that reflect such alterations in blood flow. 

This hemodynamic assessment tool allows for easy visualisation and comparison of parameters in different regions of the heart, including the four cardiac chambers, aorta and pulmonary artery. Furthermore, the output of the tool allows for statistical analysis of hemodynamic parameters.

The tool was applied to a cohort of 4D Flow data sets. Examples of parameter visualisations are provided, and a statistical analysis of the parameters with regards to left ventricular ejection fraction was performed. This analysis was performed using self-organising feature maps, but did not show any significant results. This may be due to the heterogeneity of the data however, and not due to the tool in itself.},
  author       = {Andersson, Mattias},
  issn         = {1404-6342},
  keyword      = {Hemodynamics,Hemodynamic Parameters,4D Flow,4D Flow MRI,Blood flow,Cardiac Disease,Heart Disease,MRI,Magnetic Resonance Imaging,Visualisation},
  language     = {eng},
  note         = {Student Paper},
  series       = {Master’s Theses in Mathematical Sciences},
  title        = {Assessment of hemodynamic parameters using 4D Flow MRI},
  year         = {2018},
}