Detail publikace

A Deformable Registration Method for Automated Morphometry of MRI Brain Images in Neuropsychiatric Research

SCHWARZ, D. PROVAZNÍK, I.

Originální název

A Deformable Registration Method for Automated Morphometry of MRI Brain Images in Neuropsychiatric Research

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

Image registration methods play a crucial role in computational neuroanatomy. This paper mainly contributes to the field of image registration with the use of nonlinear spatial transformations. Particularly, problems connected to matching magnetic resonance imaging (MRI) brain image data obtained from various subjects and with various imaging conditions are solved here. Registration is driven by local forces derived from multimodal point similarity measures which are estimated with the use of joint intensity histogram and tissue probability maps. A spatial deformation model imitating principles of continuum mechanics is used. Five similarity measures are tested in an experiment with image data obtained from the Simulated Brain Database and a quantitative evaluation of the algorithm is presented. Results of application of the method in automated spatial detection of anatomical abnormalities in first-episode schizophrenia are presented.

Klíčová slova

Computational neuroanatomy, deformable registration, first-episode schizophrenia, magnetic resonance imaging.

Autoři

SCHWARZ, D.; PROVAZNÍK, I.

Rok RIV

2007

Vydáno

1. 4. 2007

Nakladatel

IEEE

Místo

USA

ISSN

0278-0062

Periodikum

IEEE TRANSACTIONS ON MEDICAL IMAGING

Ročník

26

Číslo

4

Stát

Spojené státy americké

Strany od

452

Strany do

461

Strany počet

10

BibTex

@article{BUT45079,
  author="Daniel {Schwarz} and Valentine {Provazník}",
  title="A Deformable Registration Method for Automated Morphometry of MRI Brain Images in Neuropsychiatric Research",
  journal="IEEE TRANSACTIONS ON MEDICAL IMAGING",
  year="2007",
  volume="26",
  number="4",
  pages="452--461",
  issn="0278-0062"
}