Hands-On Plant Root System Reconstruction in Virtual Reality

VRoot is an immersive extended reality reconstruction tool for root system architectures from 3D volumetric scans of soil columns. We have conducted a laboratory user study to assess the performance of new users with our software in comparison to established software. We utilize a plant model to derive a synthetic root architecture, providing a baseline for reconstruction. This demo showcases the processes and techniques contributing to exact and efficient manual root architecture reconstruction in Virtual Reality. The extraction task typically is the sparse graph-structure extraction from a 3D magnetic-resonance imaging (MRI) data set. We visualize the RSA directly within the MRI and offer selection-set-based methods of adapting and augmenting the root architecture. This application is in productive use at our partner institute, where it is used to analyze complex root images.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3641825.3689494
Primary Topic
Leaf Properties and Growth Measurement
Type
article
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article

Hands-On Plant Root System Reconstruction in Virtual Reality

Morris Riedel, Ebba Þóra Hvannberg, Tobias Selzner, Daniel Zielasko et al.
Leaf Properties and Growth Measurement
article

Hands-On Plant Root System Reconstruction in Virtual Reality

Morris Riedel, Ebba Þóra Hvannberg, Tobias Selzner, Daniel Zielasko, Andrea Schnepf, Dirk Norbert Baker, Hanno Scharr, Jens Henrik Göbbert
article en

Abstract

VRoot is an immersive extended reality reconstruction tool for root system architectures from 3D volumetric scans of soil columns. We have conducted a laboratory user study to assess the performance of new users with our software in comparison to established software. We utilize a plant model to derive a synthetic root architecture, providing a baseline for reconstruction. This demo showcases the processes and techniques contributing to exact and efficient manual root architecture reconstruction in Virtual Reality. The extraction task typically is the sparse graph-structure extraction from a 3D magnetic-resonance imaging (MRI) data set. We visualize the RSA directly within the MRI and offer selection-set-based methods of adapting and augmenting the root architecture. This application is in productive use at our partner institute, where it is used to analyze complex root images.

University of Iceland (IS), Forschungszentrum Jülich (DE), Universität Trier (DE)
Sustainable cities and communities
Openalex Percentile: Top 91%
Leaf Properties and Growth Measurement
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Hands-On Plant Root System Reconstruction in Virtual Reality — Morris Riedel, Ebba Þóra Hvannberg, et al. · (2024) | TGRS Research Map | TGRS