Publication detail

Automated 3D Brain Tumor Edema Segmentation in FLAIR MRI

DVOŘÁK, P. BARTUŠEK, K.

Original Title

Automated 3D Brain Tumor Edema Segmentation in FLAIR MRI

English Title

Automated 3D Brain Tumor Edema Segmentation in FLAIR MRI

Type

abstract

Language

en

Original Abstract

The aim of this work is to develop a fully automatic method for peritumoral region segmentation in 3D FLAIR MRI. FLAIR was selected because of the visibility and manifestation of tumor edemas in this image type. The main reason for the edema segmentation is the tumor classification. This will be carried out by applying the resulting mask to perfusion MR images. Since perfusion images are of a very low contrast, the pathological area, it means the tumor and a potential edema around it, has to be detected and segmented in another type of MR images.

English abstract

The aim of this work is to develop a fully automatic method for peritumoral region segmentation in 3D FLAIR MRI. FLAIR was selected because of the visibility and manifestation of tumor edemas in this image type. The main reason for the edema segmentation is the tumor classification. This will be carried out by applying the resulting mask to perfusion MR images. Since perfusion images are of a very low contrast, the pathological area, it means the tumor and a potential edema around it, has to be detected and segmented in another type of MR images.

Keywords

Brain tumor, Image segmentation, MRI

Released

05.10.2013

Publisher

Springer

Location

Toulouse

ISBN

0968-5243

Periodical

MAGMA – Magnetic Resonance Materials in Physics, Biology and Medicine

Year of study

26

Number

1 Supplement

State

US

Pages from

489

Pages to

490

Pages count

2

Documents

BibTex


@misc{BUT100785,
  author="Pavel {Dvořák} and Karel {Bartušek}",
  title="Automated 3D Brain Tumor Edema Segmentation in FLAIR MRI",
  annote="The aim of this work is to develop a fully automatic method for peritumoral region segmentation in 3D FLAIR MRI. FLAIR was selected because of the visibility and manifestation of tumor edemas in this image type. The main reason for the edema segmentation is the tumor classification. This will be carried out by applying the resulting mask to perfusion MR images. Since perfusion images are of a very low contrast, the pathological area, it means the tumor and a potential edema around it, has to be detected and segmented in another type of MR images.",
  address="Springer",
  chapter="100785",
  doi="10.1007/s10334-013-0385-4",
  institution="Springer",
  number="1 Supplement",
  year="2013",
  month="october",
  pages="489--490",
  publisher="Springer",
  type="abstract"
}