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Automated registration of magnetic resonance imaging and optoacoustic tomography data for experimental studies


Ren, Wuwei; Skulason, Hlynur; Schlegel, Felix; Rudin, Markus; Klohs, Jan; Ni, Ruiqing (2019). Automated registration of magnetic resonance imaging and optoacoustic tomography data for experimental studies. Neurophotonics, 6(2):025001.

Abstract

Multimodal imaging combining optoacoustic tomography (OAT) with magnetic resonance imaging (MRI) enables spatiotemporal resolution complementarity, improves accurate quantification, and thus yields more insights into physiology and pathophysiology. However, only manual landmark based coregistration of OAT-MRI has been used so far. We developed a toolbox (RegOA), which frames an automated registration pipeline to align OAT with high-field MR images based on mutual information. We assessed the performance of the registration method using images acquired on one phantom with fiducial markers and in vivo/ex vivo data of mouse heads/brain. The accuracy and robustness of the registration are improved using a two-step registra- tion method with preprocessing of OAT and MRI data. The major advantages of our approach are minimal user input and quantitative assessment of the registration error. The registration with MR and standard reference atlas enables regional information extraction, facilitating the accurate, objective, and rapid analysis of large groups of rodent OAT and MR images.

Abstract

Multimodal imaging combining optoacoustic tomography (OAT) with magnetic resonance imaging (MRI) enables spatiotemporal resolution complementarity, improves accurate quantification, and thus yields more insights into physiology and pathophysiology. However, only manual landmark based coregistration of OAT-MRI has been used so far. We developed a toolbox (RegOA), which frames an automated registration pipeline to align OAT with high-field MR images based on mutual information. We assessed the performance of the registration method using images acquired on one phantom with fiducial markers and in vivo/ex vivo data of mouse heads/brain. The accuracy and robustness of the registration are improved using a two-step registra- tion method with preprocessing of OAT and MRI data. The major advantages of our approach are minimal user input and quantitative assessment of the registration error. The registration with MR and standard reference atlas enables regional information extraction, facilitating the accurate, objective, and rapid analysis of large groups of rodent OAT and MR images.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Neonatology
Dewey Decimal Classification:610 Medicine & health
Uncontrolled Keywords:Radiological and Ultrasound Technology, Radiology Nuclear Medicine and imaging, Neuroscience (miscellaneous)
Language:English
Date:3 April 2019
Deposited On:20 Jun 2019 14:31
Last Modified:25 Sep 2019 00:36
Publisher:SPIE - International Society for Optical Engineering
ISSN:2329-423X
OA Status:Green
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1117/1.nph.6.2.025001
Official URL:https://www.spiedigitallibrary.org/journals/neurophotonics/volume-6/issue-02/025001/Automated-registration-of-magnetic-resonance-imaging-and-optoacoustic-tomography-data/10.1117/1.NPh.6.2.025001.full
PubMed ID:30989087

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