Title page for etd-0619112-124716


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URN etd-0619112-124716
Author Zhong-De Lai
Author's Email Address No Public.
Statistics This thesis had been viewed 5571 times. Download 524 times.
Department Computer Science and Engineering
Year 2011
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title The implementation of visualization tool for dynamic 4D flow-sensitive MR data
Date of Defense 2012-06-08
Page Count 74
Keyword
  • Phase Contrast
  • Magnetic Resonance Imaging
  • 4D Flow-sensitive MRI
  • Visualization
  • Blood Flow Pattern
  • Abstract Based on many studies and experiments, blood flow patterns are associated with cardiovascular diseases and it usually is a sign of cardiovascular disease when the blood flow becomes unusual. Magnetic resonance (MR) imaging is a non-invasive medical technique and the characteristic of phase contrast can use to measure the flow velocity and patterns in vivo.
    As far as we know, for the cardiovascular of region of interest, 4D Flow-sensitive MRI technology is good at spatial coverage and temporal resolutions.It is easier for the researcher to analyze blood flow patterns in the clinical diagnosis by visualization processing.
    EnSight (CEI, USA), a kind of commercial software, is often used to do visualization processing of data of 4D Flow-sensitive MRI. However, before visualization of the data, several actions must be completed, such as ROI selection, correction or conversion of data, and etc.
    Therefore, our thesis hopes to develop a simple but practical user interface tool for 4D Flow-sensitive MRI data. From reading the file and ROI selection to correction and conversion of data as well as the visualization processing are completed by this tool. It provides researchers a rapid examination of data and analysis of blood flow patterns in the diagnosis.
    Advisory Committee
  • Hsu-Hsia Peng - chair
  • Ming-Ting Wu - co-chair
  • Tzu-Chao Chuang - co-chair
  • Tzu-Cheng Chao - co-chair
  • Cheng-Wen Ko - advisor
  • Files
  • etd-0619112-124716.pdf
  • Indicate in-campus at 2 year and off-campus access at 5 year.
    Date of Submission 2012-06-19

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