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@ARTICLE{Harris:177234,
author = {T. Harris$^*$ and J. Seco$^*$ and D. Ferguson and M.
Jacobson and M. Myronakis and I. V. Lozano and M. Lehmann
and P. Huber and R. Fueglistaller and D. Morf and H. J.
Mamon and J. D. Mancias and N. E. Martin and R. I. Berbeco},
title = {{B}eam's-{E}ye-{V}iew {I}maging of {L}iver {SBRT} {W}ith a
{N}ovel {M}ulti-{L}ayer {I}mager.},
journal = {International journal of radiation oncology, biology,
physics},
volume = {111},
number = {3S},
issn = {0360-3016},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {DKFZ-2021-02368},
pages = {S47},
year = {2021},
note = {#EA:E041#},
abstract = {Beams-eye view (BEV) imaging during radiation therapy can
be used for real-time localization of the treatment target.
However, clinical implementation is limited by the poor
performance of current electronic portal imaging devices
(EPIDs). A novel multilayer imager (MLI), consisting of four
stacked conventional flat-panel imagers, was recently shown
to have 5.7 times the detective quantum efficiency and
nearly 2 times the contrast-to-noise ratio of a conventional
EPID. In the current study, we compare the MLI against a
single layer imager for the application of fiducial tracking
during liver SBRT procedures. The hypothesis is that the MLI
will provide more accurate and efficient fiducial
tracking.The prototype MLI was installed in the standard MV
imager housing on a clinical LINAC, replacing the
conventional EPID. The MV imager arm was extended during
volumetric modulated arc therapy (VMAT) SBRT treatments for
passive data acquisition. Six patients with liver metastases
receiving SBRT in 3-5 fractions (900-1200 cGy/fx) were
studied. Data was acquired for two fractions of each
treatment course, one fraction with the MLI using all 4
layers and one with the MLI using the top layer only.
Automatic fiducial localization was performed using a
modification of a previously published algorithm. Truth data
was derived using external surrogate respiratory traces
combined with manual tracking. Results for 4- and 1-layer
modes were compared against truth data to determine tracking
accuracy and efficiency. Tracking and noise improvements
were assessed for any correlation.Between 2771 to 6505 image
frames were acquired for each patient, with roughly half of
each corresponding to acquisition in 1-layer mode and the
other half 4-layer mode. Tracking accuracy with the 1-layer
imager returned a root mean square error (RMSE) of 2.1 mm
compared to 4-layer RMSE of 1.5 mm, a statistically
significant (P < 0.001) improvement of 0.6 mm. Successful
tracking efficiency with 4 layers improved to $82.8\%$
versus $58.4\%$ for the 1-layer mode, a relative improvement
of $41.8\%$ (P < 0.001). There was a strong correlation (r =
0.913) between the increase in successfully tracked frames
and reduction in noise when using the 4-layer mode.Noise
reduction and increased MV photon detection efficiency
achieved by utilizing a multi-layer MV imager results in
improved fiducial tracking for liver SBRT treatments. Future
BEV clinical applications may be improved by pursuing
similar noise reduction and photon detection enhancement
strategies.},
cin = {E041},
ddc = {610},
cid = {I:(DE-He78)E041-20160331},
pnm = {315 - Bildgebung und Radioonkologie (POF4-315)},
pid = {G:(DE-HGF)POF4-315},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:34700563},
doi = {10.1016/j.ijrobp.2021.07.127},
url = {https://inrepo02.dkfz.de/record/177234},
}