Selzner T., Horn J., Landl M., Pohlmeier A., Helmrich D., Huber K., Vanderborght J., Vereecken H., Behnke S., Schnepf A. (2023.0).
3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows. Plant Phenomics, 5(),
. doi:10.34133/plantphenomics.0076
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…