ADNI dataset for Alzheimer Disease provides NIFTI files that needs to undergo preprocessing pipeline before the dataset can be used for deep learning algorithms. Looking for good reference material for MRI preprocessing steps such as skull-stripping, bias-field correction, registration, etc.
Hi,You can check Human connectome database as well.
Alzheimer's Disease Connectome Project - Connectome - Publications (humanconnectome.org)
@Inbook{Manjón2017,
author="Manj{\'o}n, Jos{\'e} V.",
editor="Mart{\'i}-Bonmat{\'i}, Luis
and Alberich-Bayarri, Angel",
title="MRI Preprocessing",
bookTitle="Imaging Biomarkers: Development and Clinical Integration",
year="2017",
publisher="Springer International Publishing",
address="Cham",
pages="53--63",
abstract="MR image preprocessing is a fundamental step to assure the success of any quantitative analysis pipeline. Such preprocessing can be composed of different processes, each of them aimed either to improve image quality or to standardize its geometric and intensity patterns. In this chapter, several of these techniques will be presented and discussed.",
isbn="978-3-319-43504-6",
doi="10.1007/978-3-319-43504-6_5",
url="https://doi.org/10.1007/978-3-319-43504-6_5"
}
My team has found comprehensive solution to this. If you need any assistance, feel free to ping.
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