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

Research output: Contribution to journalArticlepeer-review

6 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 languageEnglish
Pages (from-to)280-288
Number of pages9
JournalAnnals of Nuclear Medicine
Volume34
Issue number4
DOIs
Publication statusPublished - 2020 Apr 1

Bibliographical note

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

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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