Jing Yuan1, Oi Lei Wong1, Yihang Zhou1, Yick Wing Ho1, Kin Yin Cheung1, and Siu Ki Yu1
1Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong
Synopsis
In
this study, we proposed a conceptual MRgRT gating strategy using the organ’s
motion positional probability volume (PPV) derived from the time-resolved volumetric
MRI, aiming to improve treatment accuracy and efficiency. We demonstrated it
for the scenario of kidney MRgRT using prospectively acquired CAIPIRINHA-accelerated
VIBE MRI data at 1.5T from 7 healthy volunteers. Gating efficiencies of the proposed method were compared
to those using the conventional 40%-60% respiratory phase gating. The results showed that the proposed method achieved
significantly higher gating efficiency with similar target positional accuracy,
indicating its potential value in the future individualized adaptive MRgRT.
Introduction
Respiratory phase/amplitude gating has been widely used for radiotherapy
(RT to
synchronize the treatment with respiratory motion [1]. With the recent
introduction of MR-guided-radiotherapy (MRgRT), such as MRI-LINAC (MRL), it becomes
possible to conduct treatment gating based directly on real-time acquired MR
images instead of the traditional external respiratory surrogates or implanted fiducial
markers [2, 3], while the gating algorithm is mostly inherited from the
traditional ones. However, current online MRgRT gating is mostly based on a single slice or a limited
number of slices (single or orthogonal views) [4]. It might substantially under-
or over-estimate organ motion and thus affect gating accuracy and efficiency.
In this study, we proposed a conceptual MRgRT gating strategy using the organ’s
motion positional probability volume (PPV) derived from the time-resolved volumetric
MRI, aiming to improve treatment accuracy and efficiency.Methods
We demonstrated this
proposed gating method for the scenario of kidney MRgRT using prospectively
acquired data from 7 healthy volunteers. They received free-breathing MRI with
RT positioning on a 1.5T MRI-simulator (Siemens Healthineers, Erlangen,
Germany). A 3D CAIPIRINHA-accelerated VIBE sequence [5] was used for
acquisition (transversal, FOV=350mmx262.5mm, thickness=4mm, matrix size=128x128x56,
TE/TR=0.6/1.7ms, flip-angle=6o, RBW=1250Hz/voxel, CAIPIRINHA factor=4,
partial Fourier-factor=6/8, temporal resolution = 1.0frame-per-second). Two MRI
scans lasted 144s and 576s without volunteer re-positioning.
The dataset of the
first scan was used to generate the on-the-day PPV. Two kidneys were delineated
on the first timeframe to create reference position and reference volume (Vk). Images
of following timeframes were linearly registered to the references to create
the dynamic renal binary masks. Voxel-wise renal positional probability map (PPM)
was calculated by the number of frames that a voxel had been occupied by kidney
divided by the elapsed timeframes, i.e. PPMj=(M1+...+Mj)x100%/j.
(binary mask value Mj=1 or 0, j: timeframe index). Positional probabilistic
volume with PPM≧i% (Vi%) could be calculated dynamically at every timeframe.
For gating purpose, renal Vi% (i=0, 2.5, 5, 7.5,10) was calculated using all 144
timeframes.
The second scan dataset was used to simulate
MRgRT treatment procedure and assess gating performance. The moving kidney volume
(Vd) of each timeframe was determined either by segmentation on the present
images or registering to the reference position. If the concordance index (CIj) of timeframe j, calculated by (Vd∩Vi%)/(Vd∪Vi%), exactly equalled to Vd/Vi% (i.e. Vd was totally
within the Vi%), gating was triggered on to deliver radiation (beam-on).
Otherwise, irradiation was stopped (beam-off). Gating efficiency (Eg), or duty
cycle, calculated by the duration of beam-on time divided by the total
scan/treatment duration (576s), was calculated for different Vi%. These gating
efficiencies were compared to those using the conventionally adopted gating
window of 40%-60% respiratory phase, determined by liver dome.Results
The
cohort’s renal reference volume was 190±42 mm3 and 174±34mm3 for left and right kidney. The calculated Vi%
(i=0, 2.5, 5, 7.5, 10) was 246±48mm3, 233±50mm3, 230±50mm3,
226±47mm3 and 221±43mm3, for left kidney, and 218±41mm3, 211±41mm3, 208±39mm3, 206±38mm3
and 204±38mm3 for right kidney. V0% of
a volunteer overlaid on the reference position image was illustrated (Fig. 1).
Gating efficiency Eg
was 87±8%, 77±13%,
72±15%, 68±16%,
and 66±14% for left kidney, and 88±12%, 83±12%, 78±15%,
72±13% and
62±16% for right kidney, respectively, when V0%,
V2.5%, V5%, V7.5% and V10% was used for gating. No significant difference in Eg
between two kideneys for all
Vi%. Compared with Eg by using 40%-60% respiratory phase (28±2%), PPV Eg was significantly higher (p<0.01, Wilcoxon
signed-rank test) in both kidneys for all Vi% (Fig. 2). An illustration of
beam-on and beam-off duration along with the SI displacement of liver dome and
kidney in a subject was shown in Fig. 3.Discussion
We proposed a novel
gating strategy for online MRgRT by using the time-resolved volumetric MRI
derived on-the-day PPV. The results showed that the proposed method achieved
significantly higher gating efficiency than the conventional respiratory phase
gating, with similar target positional accuracy. Thus, it might hold potentials
for the individualized precise MRgRT. Furthermore, on-the-day PPV might be also
useful for treatment adaptation if considerable deviation from planning is
found.
This study has the
major limitation of a small sample size of healthy volunteers, in which cohort
the respiratory irregularity might be much underestimated compared to the real
patient. Thus the gating efficiency might be overestimated. The linear image
registration for PPV generation did not account for the organ deformation
during respiration, and might affect Vi% accuracy. Dose evaluation was not
conducted for demonstration of dose advantage due to the nature of volunteer
study design.
Much work is warranted for real clinical use.
First, image reconstruction latency to acquisition must be minimized, aiming
for real-time imaging. Meanwhile, target segmentation (and/or registration) on
the newly acquired images and volumetric computation should be fast enough for
gating judgement. Synchronization and interaction between imaging and
accelerator is for sure to be developed.Acknowledgements
This study was approved by the Institutional Research Ethics Committee (REC-2019-09)References
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