title: High-throughput neuro-imaging informatics.
abstract: This paper describes neuroinformatics technologies at 1 mm anatomical scale based on high-throughput 3D functional and structural imaging technologies of the human brain. The core is an abstract pipeline for converting functional and structural imagery into their high-dimensional neuroinformatic representation index containing O(1000-10,000) discriminating dimensions. The pipeline is based on advanced image analysis coupled to digital knowledge representations in the form of dense atlases of the human brain at gross anatomical scale. We demonstrate the integration of these high-dimensional representations with machine learning methods, which have become the mainstay of other fields of science including genomics as well as social networks. Such high-throughput facilities have the potential to alter the way medical images are stored and utilized in radiological workflows. The neuroinformatics pipeline is used to examine cross-sectional and personalized analyses of neuropsychiatric illnesses in clinical applications as well as longitudinal studies. We demonstrate the use of high-throughput machine learning methods for supporting (i) cross-sectional image analysis to evaluate the health status of individual subjects with respect to the population data, (ii) integration of image and personal medical record non-image information for diagnosis and prognosis.
authors.affiliation: Center for Imaging Science, Johns Hopkins Whiting School of Engineering, The Johns Hopkins University Baltimore, MD, USA ; Institute for Computational Medicine, Johns Hopkins School of Medicine and Whiting School of Engineering, The Johns Hopkins University Baltimore, MD, USA ; Department of Biomedical Engineering, The Johns Hopkins University Baltimore, MD, USA.
authors.forename: Michael I
authors.initials: MI
authors.lastname: Miller
authors.affiliation: The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine Baltimore, MD, USA.
authors.forename: Andreia V
authors.initials: AV
authors.lastname: Faria
authors.affiliation: The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine Baltimore, MD, USA.
authors.forename: Kenichi
authors.initials: K
authors.lastname: Oishi
authors.affiliation: The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine Baltimore, MD, USA.
authors.forename: Susumu
authors.initials: S
authors.lastname: Mori
keywords: computational anatomy; functional imaging; neuro-imaging; neuroinformatics