title: A semi-automated pipeline for the segmentation of rhesus macaque hippocampus: validation across a wide age range.
abstract: This report outlines a neuroimaging pipeline that allows a robust, high-throughput, semi-automated, template-based protocol for segmenting the hippocampus in rhesus macaque (Macaca mulatta) monkeys ranging from 1 week to 260 weeks of age. The semiautomated component of this approach minimizes user effort while concurrently maximizing the benefit of human expertise by requiring as few as 10 landmarks to be placed on images of each hippocampus to guide registration. Any systematic errors in the normalization process are corrected using a machine-learning algorithm that has been trained by comparing manual and automated segmentations to identify systematic errors. These methods result in high spatial overlap and reliability when compared with the results of manual tracing protocols. They also dramatically reduce the time to acquire data, an important consideration in large-scale neuroradiological studies involving hundreds of MRI scans. Importantly, other than the initial generation of the unbiased template, this approach requires only modest neuroanatomical training. It has been validated for high-throughput studies of rhesus macaque hippocampal anatomy across a broad age range.
authors.affiliation: Department of Psychiatry and Behavioral Sciences, University of California, Davis Medical Center, Davis, California, United States of America ; UC Davis MIND Institute; University of California, Davis Medical Center, Davis, California, United States of America.
authors.forename: Michael R
authors.initials: MR
authors.lastname: Hunsaker
authors.affiliation: Department of Psychiatry and Behavioral Sciences, University of California, Davis Medical Center, Davis, California, United States of America ; UC Davis MIND Institute; University of California, Davis Medical Center, Davis, California, United States of America.
authors.forename: David G
authors.initials: DG
authors.lastname: Amaral
mesh_terms: D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D005260:Female; D006624:Hippocampus / Q000502:physiology*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008253:Macaca mulatta / Q000502:physiology*; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D059906:Neuroimaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results