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Segmentation of the cardiovascular tree in 4D from PC-MRI images

Öberg, Peter LU (2013) In LUTFMA-3244-2013 FMA820 20122
Mathematics (Faculty of Technology) and Numerical Analysis
Abstract
Investigating the dynamics of blood flow is essential to understanding the cardiovascular system and its pathologies. Phase Contrast Magnetic Resonance Imaging (PC-MRI) enables acquisition of 4-dimensional time resolved velocity experiments. Slice-by-slice analysis of the data is time consuming and cumbersome. In this master thesis a simple but eective algorithm for fully automatic
visualization of the entire cardiovascular tree based on 4D PC-MRI velocity data. The achieved visualization portrays the cardiovascular vessel tree.The purposed segmentation algorithm is implemented in MATLAB and combined with the existing software Segment and Fourflow for visualization. Clinical data shows very promising visualization of the cardiovascular... (More)
Investigating the dynamics of blood flow is essential to understanding the cardiovascular system and its pathologies. Phase Contrast Magnetic Resonance Imaging (PC-MRI) enables acquisition of 4-dimensional time resolved velocity experiments. Slice-by-slice analysis of the data is time consuming and cumbersome. In this master thesis a simple but eective algorithm for fully automatic
visualization of the entire cardiovascular tree based on 4D PC-MRI velocity data. The achieved visualization portrays the cardiovascular vessel tree.The purposed segmentation algorithm is implemented in MATLAB and combined with the existing software Segment and Fourflow for visualization. Clinical data shows very promising visualization of the cardiovascular tree. (Less)
Please use this url to cite or link to this publication:
author
Öberg, Peter LU
supervisor
organization
alternative title
Automatisk segmentering av kärlträdet från 4D flödes MR bilder
course
FMA820 20122
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Fourflow, Segment flow, PC-MRI, visualization, 4D, flow, Cardiovascular tree, noise reduction
publication/series
LUTFMA-3244-2013
report number
LUTFMA-3244-2013
ISSN
1404-6342
other publication id
2013: E13
language
English
id
3802999
date added to LUP
2013-09-20 12:11:57
date last changed
2013-09-20 12:11:57
@misc{3802999,
  abstract     = {Investigating the dynamics of blood flow is essential to understanding the cardiovascular system and its pathologies. Phase Contrast Magnetic Resonance Imaging (PC-MRI) enables acquisition of 4-dimensional time resolved velocity experiments. Slice-by-slice analysis of the data is time consuming and cumbersome. In this master thesis a simple but eective algorithm for fully automatic
visualization of the entire cardiovascular tree based on 4D PC-MRI velocity data. The achieved visualization portrays the cardiovascular vessel tree.The purposed segmentation algorithm is implemented in MATLAB and combined with the existing software Segment and Fourflow for visualization. Clinical data shows very promising visualization of the cardiovascular tree.},
  author       = {Öberg, Peter},
  issn         = {1404-6342},
  keyword      = {Fourflow,Segment flow,PC-MRI,visualization,4D,flow,Cardiovascular tree,noise reduction},
  language     = {eng},
  note         = {Student Paper},
  series       = {LUTFMA-3244-2013},
  title        = {Segmentation of the cardiovascular tree in 4D from PC-MRI images},
  year         = {2013},
}