A collection of 157 individual neuromelanin-sensitive images accompanied by non-linear neuromelanin-sensitive atlas and a probabilistic locus coeruleus atlas

Tae-Ho Lee; Sun Hyung Kim; Joshua Neal; Benjamin Katz; Il Hwan Kim

doi:10.1016/j.dib.2024.110140

A collection of 157 individual neuromelanin-sensitive images accompanied by non-linear neuromelanin-sensitive atlas and a probabilistic locus coeruleus atlas

Data Brief. 2024 Feb 1:53:110140. doi: 10.1016/j.dib.2024.110140. eCollection 2024 Apr.

Authors

Tae-Ho Lee^{1

2}, Sun Hyung Kim³, Joshua Neal¹, Benjamin Katz^{4

2}, Il Hwan Kim⁵

Affiliations

¹ Department of Psychology, Virginia Tech, USA.
² School of Neuroscience, Virginia Tech, USA.
³ Department of Psychiatry, University of North Carolina, Chapel Hill, USA.
⁴ Department of Human Development and Family Science, Virginia Tech, USA.
⁵ Department of Anatomy and Neurobiology, University of Tennessee Health Science Center, USA.

Abstract

The current dataset aims to support and enhance the research reliability of neuromelanin regions in the brainstem, such as locus coeruleus (LC), by offering raw neuromelanin-sensitive images. The dataset includes raw neuromelanin-sensitive images from 157 healthy individuals (8-64 years old). In addition, leveraging individual neuromelanin-sensitive images, a non-linear neuromelanin-sensitive atlas, generated through an iterative warping process, is included to tackle the common challenge of a limited field of view in neuromelanin-sensitive images. Finally, the dataset encompasses a probabilistic LC atlas generated through a majority voting approach with pre-existing multiple atlas-based segmentations. This process entails warping pre-existing atlases onto individual spaces and identifying voxels with a majority consensus of over 50 % across the atlases. This LC probabilistic atlas can minimize uncertainty variance associated with choosing a specific single atlas.

Keywords: Locus Coeruleus (LC) probability atlas; Multi-atlas-based majority voting; Neuromelanin-sensitivity image; Non-linear neuromelanin-sensitive atlas.