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

SCHWARZ, Daniel, Tomáš KAŠPÁREK, Ivo PROVAZNÍK and Jiří JARKOVSKÝ. A Deformable Registration Method for Automated Morphometry of MRI Brain Images in Neuropsychiatric Research. IEEE Transactions on Medical Imaging. New York: IEEE, 2007, vol. 26, No 4, p. 452-461. ISSN 0278-0062.

Basic information

Original name

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

Name in Czech

Metoda pružné registrace pro automatickou morfometrii obrazů mozku z MRI v neuropsychiatrickém výzkumu

Authors

SCHWARZ, Daniel (203 Czech Republic, guarantor), Tomáš KAŠPÁREK (203 Czech Republic), Ivo PROVAZNÍK (203 Czech Republic) and Jiří JARKOVSKÝ (203 Czech Republic)

Edition

IEEE Transactions on Medical Imaging, New York, IEEE, 2007, 0278-0062

---

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30000 3. Medical and Health Sciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 3.275

RIV identification code

RIV/00216224:14110/07:00022048

Organization unit

Faculty of Medicine

UT WoS

000245599200003

Keywords in English

MRI;image processing;schizophrenia;image registration;computational neuroanatomy

Tags

computational neuroanatomy, image processing, image registration, MRI, schizophrenia

Tags

International impact, Reviewed

---

Abstract

V originále

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 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.

In Czech

Článek přispívá zejméína do oblasti metod registrace medicínských obrazů s využitím nelineárních prostorových transformací. Řeší se zde problémy související s porovnávání multimodálních dat z MRI od různých subjektů. Registrace je řízena lokálními silami odvozenými z multimodální bodové podobnostní metriky, která je odhadnuta s využitím vzájmeného histogramu a tkáňových pravděpodobnostních map.

---

Links

MSM0021622404, plan (intention)

Name: Vnitřní organizace a neurobiologické mechanismy funkčních systémů CNS Investor: Ministry of Education, Youth and Sports of the CR, The internal organisation and neurobiological mechanisms of functional CNS systems under normal and pathological conditions.