Peak velocities measurement by MRI using 2-D flow and 4-D flow

Cardiovascular diseases (CVD) has become a more common disease in the 21st century, especially in the developed countries. As such, there is an increasing demand for Cardiac Magnetic Resonance Imaging (CMR) for diagnosing, assessing and monitoring of CVD. CMR does not only provide the morphological...

Full description

Saved in:
Bibliographic Details
Main Author: Tan, Valarine Li Yin
Other Authors: Mohammed Yakoob Siyal
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78298
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-78298
record_format dspace
spelling sg-ntu-dr.10356-782982023-07-07T17:33:46Z Peak velocities measurement by MRI using 2-D flow and 4-D flow Tan, Valarine Li Yin Mohammed Yakoob Siyal School of Electrical and Electronic Engineering Siemens Healthcare Pte. Ltd. Chung Yiu-Cho DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Cardiovascular diseases (CVD) has become a more common disease in the 21st century, especially in the developed countries. As such, there is an increasing demand for Cardiac Magnetic Resonance Imaging (CMR) for diagnosing, assessing and monitoring of CVD. CMR does not only provide the morphological information of the anatomy but it is also capable of providing important functional information such as the blood flow dynamics, which is also known as hemodynamic of the heart. However, one major disadvantage of using CMR to quantify blood flow is that it requires long post image acquisition processing time. To quantify blood flow from the MR images, extensive post-acquisition data analysis is needed and therefore it is a time consuming and tedious analysis. However, this disadvantage and limitation should not deter people from using CMR. There are many other advantages that MRI has over the other imaging modality including the ability of imaging soft tissues and it does not involve the use of ionising radiation. To overcome the limitation, a tool can be built to improve the procedure and time needed for post-processing. This report describes a new graphic user interface (GUI) designed and built to simplify the process of post-processing of the MR images. It provides a tool to extract and process velocity information from phase contrast (PC) MR images, without the need for time-consuming post data acquisition analysis. Analysis of MR images acquired from healthy volunteers was also performed using the GUI as part of the process to test and determine the accuracy of the GUI. The analysis and results will also be discussed in the later part of this report. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-17T02:53:58Z 2019-06-17T02:53:58Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78298 en Nanyang Technological University 59 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::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Tan, Valarine Li Yin
Peak velocities measurement by MRI using 2-D flow and 4-D flow
description Cardiovascular diseases (CVD) has become a more common disease in the 21st century, especially in the developed countries. As such, there is an increasing demand for Cardiac Magnetic Resonance Imaging (CMR) for diagnosing, assessing and monitoring of CVD. CMR does not only provide the morphological information of the anatomy but it is also capable of providing important functional information such as the blood flow dynamics, which is also known as hemodynamic of the heart. However, one major disadvantage of using CMR to quantify blood flow is that it requires long post image acquisition processing time. To quantify blood flow from the MR images, extensive post-acquisition data analysis is needed and therefore it is a time consuming and tedious analysis. However, this disadvantage and limitation should not deter people from using CMR. There are many other advantages that MRI has over the other imaging modality including the ability of imaging soft tissues and it does not involve the use of ionising radiation. To overcome the limitation, a tool can be built to improve the procedure and time needed for post-processing. This report describes a new graphic user interface (GUI) designed and built to simplify the process of post-processing of the MR images. It provides a tool to extract and process velocity information from phase contrast (PC) MR images, without the need for time-consuming post data acquisition analysis. Analysis of MR images acquired from healthy volunteers was also performed using the GUI as part of the process to test and determine the accuracy of the GUI. The analysis and results will also be discussed in the later part of this report.
author2 Mohammed Yakoob Siyal
author_facet Mohammed Yakoob Siyal
Tan, Valarine Li Yin
format Final Year Project
author Tan, Valarine Li Yin
author_sort Tan, Valarine Li Yin
title Peak velocities measurement by MRI using 2-D flow and 4-D flow
title_short Peak velocities measurement by MRI using 2-D flow and 4-D flow
title_full Peak velocities measurement by MRI using 2-D flow and 4-D flow
title_fullStr Peak velocities measurement by MRI using 2-D flow and 4-D flow
title_full_unstemmed Peak velocities measurement by MRI using 2-D flow and 4-D flow
title_sort peak velocities measurement by mri using 2-d flow and 4-d flow
publishDate 2019
url http://hdl.handle.net/10356/78298
_version_ 1772826587096416256