Customized FreeSurfer-based brain atlas for diffeomorphic anatomical registration through exponentiated lie algebra tool

Min Seok Baek; Hanna Cho; Young Hoon Ryu; Chul Hyoung Lyoo

doi:10.1007/s12149-020-01445-y

Customized FreeSurfer-based brain atlas for diffeomorphic anatomical registration through exponentiated lie algebra tool

Min Seok Baek, Hanna Cho, Young Hoon Ryu, Chul Hyoung Lyoo

Department of Neurology

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

Objective: Digital brain template and atlas designed for a specific group provide advantages for the analysis and interpretation of neuroimaging data, but require a significant workload for development. We developed a simple method to create customized brain atlas for diffeomorphic anatomical registration through exponentiated lie algebra (DARTEL) tool using FreeSurfer-generated volume-of-interest (FSVOI) images and validated. Methods: ¹⁸F-florbetaben positron emission tomography (PET) and magnetic resonance (MR) imaging data were obtained from 248 participants of Alzheimer’s disease spectrum (from cognitively normal to Alzheimer’s disease dementia). To create a customized atlas, MR images of 84 amyloid-negative controls were first processed with FreeSurfer to obtain individual FSVOI and with DARTEL tool to create DARTEL template. Individual FSVOI images were spatially normalized, and each voxel was then labelled with a VOI label with maximum probability. Using these template and atlas, all images were normalized, and the regional standardized uptake value ratios (SUVR) were measured. Results: ¹⁸F-florbetaben SUVR values measured with customized atlas showed excellent one-to-one correlation with SUVR measured with individual FSVOI in all regions, and thereby showed almost identical between-group comparison results and outperformed the classic methods. Conclusions: Customized FreeSurfer-based brain atlas for DARTEL tool is easy to create and useful for the analysis of PET and MR images with high adaptability and reliability for broad research purposes.

Original language	English
Pages (from-to)	280-288
Number of pages	9
Journal	Annals of Nuclear Medicine
Volume	34
Issue number	4
DOIs	https://doi.org/10.1007/s12149-020-01445-y
Publication status	Published - 2020 Apr 1

Bibliographical note

Funding Information:
This research was supported by a grant from Korean Neurological Association (KNA-19-MI-12), faculty research Grant of Yonsei University College of Medicine for (6-2018-0068), Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2017R1A2B2006694) and the Ministry of Education (NRF-2018R1D1A1B07049386), and a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health & Welfare, Republic of Korea (Grant Number: HI18C1159).

Publisher Copyright:
© 2020, The Japanese Society of Nuclear Medicine.

All Science Journal Classification (ASJC) codes

Radiology Nuclear Medicine and imaging

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10.1007/s12149-020-01445-y

Cite this

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title = "Customized FreeSurfer-based brain atlas for diffeomorphic anatomical registration through exponentiated lie algebra tool",

abstract = "Objective: Digital brain template and atlas designed for a specific group provide advantages for the analysis and interpretation of neuroimaging data, but require a significant workload for development. We developed a simple method to create customized brain atlas for diffeomorphic anatomical registration through exponentiated lie algebra (DARTEL) tool using FreeSurfer-generated volume-of-interest (FSVOI) images and validated. Methods: 18F-florbetaben positron emission tomography (PET) and magnetic resonance (MR) imaging data were obtained from 248 participants of Alzheimer{\textquoteright}s disease spectrum (from cognitively normal to Alzheimer{\textquoteright}s disease dementia). To create a customized atlas, MR images of 84 amyloid-negative controls were first processed with FreeSurfer to obtain individual FSVOI and with DARTEL tool to create DARTEL template. Individual FSVOI images were spatially normalized, and each voxel was then labelled with a VOI label with maximum probability. Using these template and atlas, all images were normalized, and the regional standardized uptake value ratios (SUVR) were measured. Results: 18F-florbetaben SUVR values measured with customized atlas showed excellent one-to-one correlation with SUVR measured with individual FSVOI in all regions, and thereby showed almost identical between-group comparison results and outperformed the classic methods. Conclusions: Customized FreeSurfer-based brain atlas for DARTEL tool is easy to create and useful for the analysis of PET and MR images with high adaptability and reliability for broad research purposes.",

author = "Baek, {Min Seok} and Hanna Cho and Ryu, {Young Hoon} and Lyoo, {Chul Hyoung}",

note = "Funding Information: This research was supported by a grant from Korean Neurological Association (KNA-19-MI-12), faculty research Grant of Yonsei University College of Medicine for (6-2018-0068), Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2017R1A2B2006694) and the Ministry of Education (NRF-2018R1D1A1B07049386), and a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health & Welfare, Republic of Korea (Grant Number: HI18C1159). Publisher Copyright: {\textcopyright} 2020, The Japanese Society of Nuclear Medicine.",

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doi = "10.1007/s12149-020-01445-y",

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AU - Baek, Min Seok

AU - Cho, Hanna

AU - Ryu, Young Hoon

AU - Lyoo, Chul Hyoung

N1 - Funding Information: This research was supported by a grant from Korean Neurological Association (KNA-19-MI-12), faculty research Grant of Yonsei University College of Medicine for (6-2018-0068), Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2017R1A2B2006694) and the Ministry of Education (NRF-2018R1D1A1B07049386), and a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health & Welfare, Republic of Korea (Grant Number: HI18C1159). Publisher Copyright: © 2020, The Japanese Society of Nuclear Medicine.

PY - 2020/4/1

Y1 - 2020/4/1

N2 - Objective: Digital brain template and atlas designed for a specific group provide advantages for the analysis and interpretation of neuroimaging data, but require a significant workload for development. We developed a simple method to create customized brain atlas for diffeomorphic anatomical registration through exponentiated lie algebra (DARTEL) tool using FreeSurfer-generated volume-of-interest (FSVOI) images and validated. Methods: 18F-florbetaben positron emission tomography (PET) and magnetic resonance (MR) imaging data were obtained from 248 participants of Alzheimer’s disease spectrum (from cognitively normal to Alzheimer’s disease dementia). To create a customized atlas, MR images of 84 amyloid-negative controls were first processed with FreeSurfer to obtain individual FSVOI and with DARTEL tool to create DARTEL template. Individual FSVOI images were spatially normalized, and each voxel was then labelled with a VOI label with maximum probability. Using these template and atlas, all images were normalized, and the regional standardized uptake value ratios (SUVR) were measured. Results: 18F-florbetaben SUVR values measured with customized atlas showed excellent one-to-one correlation with SUVR measured with individual FSVOI in all regions, and thereby showed almost identical between-group comparison results and outperformed the classic methods. Conclusions: Customized FreeSurfer-based brain atlas for DARTEL tool is easy to create and useful for the analysis of PET and MR images with high adaptability and reliability for broad research purposes.

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Customized FreeSurfer-based brain atlas for diffeomorphic anatomical registration through exponentiated lie algebra tool

Abstract

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