Average volume reference space for large scale registration of whole-body magnetic resonance images

The construction of whole-body magnetic resonance (MR) imaging atlases allows to perform statistical analysis with applications in anomaly detection, longitudinal, and correlation studies. Atlas-based methods require a common coordinate system to which all the subjects are mapped through image regis...

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Veröffentlicht in:PloS one Jg. 14; H. 10; S. e0222700
Hauptverfasser: Pilia, Martino, Kullberg, Joel, Ahlström, Håkan, Malmberg, Filip, Ekström, Simon, Strand, Robin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 01.10.2019
Public Library of Science (PLoS)
Schlagworte:
Advantages
Algorithms
Anomalies
Atrophy
Bias
Biology and Life Sciences
Body image
Brain - drug effects
Brain research
CAT scans
Computerized Image Processing
Coordinates
Correlation
Correlation analysis
Datasets
Datoriserad bildbehandling
Female
Human body
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image Processing, Computer-Assisted - methods
Image registration
Information technology
Magnetic resonance
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Medicine and Health Sciences
Metabolism
Methods
Neuroimaging
NMR
Nuclear magnetic resonance
Optimization
Pattern Recognition, Automated - methods
Physical Sciences
Registration
Research and Analysis Methods
Resonance
Self image
Simulation
Statistical analysis
Statistics
Studies
Systemic diseases
Whole Body Imaging - methods
Sweden
ISSN:1932-6203, 1932-6203
Online-Zugang:Volltext
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Zusammenfassung:The construction of whole-body magnetic resonance (MR) imaging atlases allows to perform statistical analysis with applications in anomaly detection, longitudinal, and correlation studies. Atlas-based methods require a common coordinate system to which all the subjects are mapped through image registration. Optimisation of the reference space is an important aspect that affects the subsequent analysis of the registered data, and having a reference space that is neutral with respect to local tissue volume is valuable in correlation studies. The purpose of this work is to generate a reference space for whole-body imaging that has zero voxel-wise average volume change when mapped to a cohort. This work proposes an approach to register multiple whole-body images to a common template using volume changes to generate a synthetic reference space, starting with an initial reference and refining it by warping it with a deformation that brings the voxel-wise average volume change associated to the mappings of all the images in the cohort to zero. Experiments on fat/water separated whole-body MR images show how the method effectively generates a reference space neutral with respect to volume changes, without reducing the quality of the registration nor introducing artefacts in the anatomy, while providing better alignment when compared to an implicit reference groupwise approach. The proposed method allows to quickly generate a reference space neutral with respect to local volume changes, that retains the registration quality of a sharp template, and that can be used for statistical analysis of voxel-wise correlations in large datasets of whole-body image data.
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Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: Joel Kullberg and Håkan Ahlström are co-founders, co-owners of and employed at Antaros Medical AB, BioVenture Hub, Mölndal, Sweden. Antaros Medical AB did not have any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0222700