@inproceedings{1a3ad0163d984e6fba19ced3652b8a52,
title = "Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain",
abstract = "Infant brain atlases are essential for characterizing structural changes in the developing brain. Volumetric and cortical atlases are typically constructed independently, potentially causing discrepancies between tissue boundaries and cortical surfaces. In this paper, we present a method for surface-volume consistent construction of longitudinal brain atlases of infants from 2 weeks to 12 months of age. We first construct the 12-month atlas via groupwise surface-constrained volumetric registration. The longitudinal displacements of each subject with respect to different time points are then transported parallelly to the 12-month atlas space. The 12-month cortico-volumetric atlas is finally warped temporally to each month prior to the 12th month using the transported displacements. Experimental results indicate that the longitudinal atlases generated are consistent in terms of tissue boundaries and cortical surfaces, hence allowing joint surface-volume analysis to be performed in a common space.",
keywords = "Cortical surface, Infant brain atlas, Longitudinal trajectory, Neurodevelopment",
author = "{the UNC/UMN Baby Connectome Project Consortium} and Sahar Ahmad and Zhengwang Wu and Gang Li and Li Wang and Weili Lin and Yap, {Pew Thian} and Dinggang Shen",
note = "Funding Information: Fig. 4. Cortical surface atlases overlaid onto the volumetric atlases constructed by the proposed and baseline methods Acknowledgment. This work utilizes approaches developed in part by NIH grants (AG053867, EB008374, MH107815, MH116225, MH117943, 1U01MH110274) and the efforts of the UNC/UMN Baby Connectome Project Consortium. Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019 ; Conference date: 13-10-2019 Through 17-10-2019",
year = "2019",
doi = "10.1007/978-3-030-32245-8_90",
language = "English",
isbn = "9783030322441",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "815--822",
editor = "Dinggang Shen and Pew-Thian Yap and Tianming Liu and Peters, {Terry M.} and Ali Khan and Staib, {Lawrence H.} and Caroline Essert and Sean Zhou",
booktitle = "Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings",
address = "Germany",
}