Segmentering af arterier i hjernen fra proton

FACULTY OF ENGINEERING AND SCIENCE
AALBORG UNIVERSITY
INSTITUTE OF ELECTRONIC SYSTEMS
TITLE:
Segmentation of arteries in the brain
based on protonweighted MRI.
TIME PERIOD:
6th semester,
February 4th to May 27th, 2003
PROJECT GROUP:
621 - 2003 IN6
GROUP MEMBERS:
Stephen Schreiber Aaes
Mikkel Sandberg Andersen
Sanne Christensen
Tommy Jensen
Allan Møller Nielsen
Rikke Ottesen
Jeanette Bødker Pedersen
SUPERVISOR:
Lasse Riis Østergaard
NO. OF COPIES: 10
NO. OF PAGES IN MAIN REPORT: 79
NO. OF PAGES IN APPENDICES: 30
NO. OF PAGES IN TOTAL: 116
ABSTRACT:
The purpose of this project is to improve an
existing system for segmentation. The purpose
of the segmentation is to detect arteries in the
brain based upon Magnetic Resonans Imaging
scannings.
Methods, which have been applied to
improve the system are: Watershed segmentation,
feature extraction, fuzzy information
granulation and reconstruction.
The watershed segmentation is implemented
in the form of a downhill Maximum
Gradient Path algorithm and the following
features are extracted from the segmented
data: Circularity, narrowness and histogram
consistency. The features are used in classifying
between the classes of artery or
non-artery. The data are then processed so that
the output appears to be a coherent arterial
system.
The report concludes that the three main
areas of the developed system, segmentation,
feature extraction and fuzzy classifying and
reconstruction has been analyzed, designed
and implementet. Furthermore an integration
of the system areas, in such a way that a
complete test of the system could be performed,
was not successfull. It is evaluated,
that an improved method for calculation of
circularity and narrowness would improve the
possibilities of completing a total integration
of the areas of the system.