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Hitchhiker's Guide to Voxel Segmentation for Partial Volume Correction of In Vivo Magnetic Resonance Spectroscopy.

Scott QuadrelliCarolyn MountfordSaadallah Ramadan
Published in: Magnetic resonance insights (2016)
Partial volume effects have the potential to cause inaccuracies when quantifying metabolites using proton magnetic resonance spectroscopy (MRS). In order to correct for cerebrospinal fluid content, a spectroscopic voxel needs to be segmented according to different tissue contents. This article aims to detail how automated partial volume segmentation can be undertaken and provides a software framework for researchers to develop their own tools. While many studies have detailed the impact of partial volume correction on proton magnetic resonance spectroscopy quantification, there is a paucity of literature explaining how voxel segmentation can be achieved using freely available neuroimaging packages.
Keyphrases
  • deep learning
  • convolutional neural network
  • cerebrospinal fluid
  • machine learning
  • ms ms
  • molecular docking
  • high throughput
  • risk assessment
  • human health
  • single cell