3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows

3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows

Magnetic resonance imaging (MRI) is used to image root systems grown in opaque soil. However, reconstruction of root system architecture (RSA) from 3-dimensional (3D) MRI images is challenging. Low resolution and poor contrast-to-noise ratios (CNRs) hinder automated reconstruction. Hence, manual rec...

Full description

Bibliographic Details
Main Authors: Tobias Selzner, Jannis Horn, Magdalena Landl, Andreas Pohlmeier, Dirk Helmrich, Katrin Huber, Jan Vanderborght, Harry Vereecken, Sven Behnke, Andrea Schnepf
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2023-01-01
Series:Plant Phenomics
Online Access:https://spj.science.org/doi/10.34133/plantphenomics.0076

Internet

https://spj.science.org/doi/10.34133/plantphenomics.0076

Similar Items