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@ARTICLE{Stingaciu:188024,
author = {Stingaciu, Laura and Schulz, Hannes and Pohlmeier, Andreas
and Behnke, Sven and Zilken, Herwig and Javaux, Mathieu and
Vereecken, Harry},
title = {{I}n {S}itu {R}oot {S}ystem {A}rchitecture {E}xtraction
from {M}agnetic {R}esonance {I}maging for {W}ater {U}ptake
{M}odeling},
journal = {Vadose zone journal},
volume = {12},
number = {1},
issn = {1539-1663},
address = {Madison, Wis.},
publisher = {SSSA},
reportid = {FZJ-2015-01510},
pages = {9},
year = {2013},
abstract = {The three-dimensional root system architecture (RSA) of a
lupin plant is constructed using two methods, an automated
procedure based on a three-dimensional MRI image, and a
semi-manual method based a 3D virtual reality system. The
two results show some differences in connectivity of root
segments, which affects the distributions of root water
uptake and xylem pressures.An automated method for root
system architecture reconstruction from three-dimensional
volume data sets obtained from magnetic resonance imaging
(MRI) was developed and validated with a three-dimensional
semimanual reconstruction using virtual reality and a
two-dimensional reconstruction using SmartRoot. It was
tested on the basis of an MRI image of a 25-d-old lupin
(Lupinus albus L.) grown in natural sand with a resolution
of 0.39 by 0.39 by 1.1 mm. The automated reconstruction
algorithm was inspired by methods for blood vessel detection
in MRI images. It describes the root system by a
hierarchical network of nodes, which are connected by
segments of defined length and thickness, and also allows
the calculation of root parameter profiles such as root
length, surface, and apex density The obtained root system
architecture (RSA) varied in number of branches, segments,
and connectivity of the segments but did not vary in the
average diameter of the segments (0.137 cm for semimanual
and 0.143 cm for automatic RSA), total root surface (127 cm2
for semimanual and 124 cm2 for automatic RSA), total root
length (293 cm for semimanual and 282 cm for automatic RSA),
and total root volume (4.7 cm3 for semimanual and 4.7 cm3
for automatic RSA). The difference in performance of the
automated and semimanual reconstructions was checked by
using the root system as input for water uptake modeling
with the Doussan model. Both systems worked well and allowed
for continuous water flow. Slight differences in the
connectivity appeared to be leading to locally different
water flow velocities, which were $30\%$ smaller for the
semimanual method.},
cin = {IBG-3 / JSC},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118 / I:(DE-Juel1)JSC-20090406},
pnm = {246 - Modelling and Monitoring Terrestrial Systems: Methods
and Technologies (POF2-246) / 41G - Supercomputer Facility
(POF2-41G21)},
pid = {G:(DE-HGF)POF2-246 / G:(DE-HGF)POF2-41G21},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000317713300007},
doi = {10.2136/vzj2012.0019},
url = {https://juser.fz-juelich.de/record/188024},
}