About: An Adaptive Space-Filling Curve Trajectory for Ordering 3D Datasets to 1D: Application to Brain Magnetic Resonance Imaging Data for Classification

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About: An Adaptive Space-Filling Curve Trajectory for Ordering 3D Datasets to 1D: Application to Brain Magnetic Resonance Imaging Data for Classification Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	An Adaptive Space-Filling Curve Trajectory for Ordering 3D Datasets to 1D: Application to Brain Magnetic Resonance Imaging Data for Classification
Creator	Beheshti, Nazanin Bhupati, Lohit Johnsson, Lennart Sakoglu, Unal Tsekos, Nikolaos
Source	PMC
abstract	In this work, we develop an adaptive, near-optimal, 3-Dimensional (3D) to 1D ordering methodology for brain magnetic resonance imaging (MRI) data, using a space-filling curve (SFC) trajectory, which is adaptive to brain’s shape as captured by MRI. We present the pseudocode of the heuristics for developing the SFC trajectory. We apply this trajectory to functional MRI brain activation maps from a schizophrenia study, compress the data, obtain features, and perform classification of schizophrenia patients vs. normal controls. We compare the classification results with those of a linear ordering trajectory, which has been the traditional method for ordering 3D MRI data to 1D. We report that the adaptive SFC trajectory-based classification performance is superior than the linear ordering trajectory-based classification.
has issue date	2020-05-22(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50420-5_48
has license	no-cc
sha1sum (hex)	850255accbf14df648e6291f751b980c659d0d53
schema:url	https://doi.org/10.1007/978-3-030-50420-5_48
resource representing a document's title	An Adaptive Space-Filling Curve Trajectory for Ordering 3D Datasets to 1D: Application to Brain Magnetic Resonance Imaging Data for Classification
has PubMed Central identifier	PMC7304044
schema:publication	Computational Science - ICCS 2020
resource representing a document's body	covid:850255accbf14df648e6291f751b980c659d0d53#body_text
is schema:about of	named entity 'trajectory' named entity 'patients' named entity 'data' named entity 'compress' named entity 'SPACE' named entity 'TRAJECTORY' named entity 'METHODOLOGY' covid:arg/850255accbf14df648e6291f751b980c659d0d53 named entity 'captured' named entity 'data' named entity 'trajectory' named entity 'ordering' named entity 'MRI' named entity 'compress the data' named entity 'linear ordering' named entity 'magnetic resonance imaging' named entity 'linear ordering' named entity 'MRI' named entity 'voxels' named entity 'voxels' named entity 'EPI' named entity 'activation map' named entity 'classification algorithm' named entity 'down-sampling' named entity 'feature selection' named entity 'Magnetic resonance imaging' named entity 'Hamiltonian path problem' named entity 'schizophrenia' named entity 'algorithm' named entity 'space-filling curve' named entity 'SFC' named entity 'space-filling curve' named entity 'cost function' named entity 'fMRI' named entity 'voxels' named entity 'algorithm' named entity 'SFC' named entity 'fMRI study' named entity 'SFC' named entity 'image compression' named entity '3D data' named entity 'algorithm' named entity 'matrices' named entity 'voxels' named entity 'EPI' named entity 'voxel' named entity 'T1 MRI' named entity 'least-squares' named entity 'functional MRI' named entity 'hash table' named entity 'SFC' named entity 'T1 MRI' named entity 'schizophrenia' named entity 'fMRI' named entity 'SFC' named entity 'voxels' named entity 'voxel' named entity 'space filling curve' named entity 'Hilbert curve' named entity 'MRI' named entity 'SFC' named entity 'SFC' named entity 'Hilbert' named entity 'voxels' named entity 'SFC' named entity 'fMRI' named entity 'T1 MRI' named entity 'fMRI' named entity 'MNI' named entity 'FMRI' named entity 'echo-planar imaging' named entity 'linear models' named entity 'MNI' named entity 'SFC' named entity 'linear ordering' named entity 'functional MRI' named entity 'SFC' named entity 'MRI scanners' named entity 'voxels'

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