Real-Time 2D MR Cine From Beam Eye's View With Tumor-Volume Projection to Ensure Beam-to-Tumor Conformality for MR-Guided Radiotherapy of Lung Cancer

PurposeTo minimize computation latency using a predictive strategy to retrieve and project tumor volume onto 2D MR beam eye's view (BEV) cine from time-resolved four-dimensional magnetic resonance imaging (TR-4DMRI) libraries (inhalation/exhalation) for personalized MR-guided intensity-modulated radiotherapy (IMRT) or volumetric-modulated arc therapy (VMAT). MethodsTwo time-series forecasting algorithms, autoregressive (AR) modeling and deep-learning-based long short-term memory (LSTM), were applied to predict the diaphragm position in the next 2D BEV cine to identify a motion-matched and hysteresis-accounted image to retrieve the tumor volume from the inhalation/exhalation TR-4DMRI libraries. Three 40-s TR-4DMRI (2 Hz, 3 x 80 images) per patient of eight lung cancer patients were used to create patient-specific inhalation/exhalation 4DMRI libraries, extract diaphragmatic waveforms, and interpolate them to f = 4 and 8 Hz to match 2D cine frame rates. Along a (40 center dot f)-timepoint waveform, 30 center dot f training timepoints were moved forward to produce 3x(10 center dot f-1) predictions. The accuracy of position prediction was assessed against the waveform ground truth. The accuracy of tumor volume projections was evaluated using the center-of-mass difference ( increment COM) and Dice similarity index against the TR-4DMRI ground truth for both IMRT (six beam angles, 30 degrees interval) and VMAT (240/480 beam angles, 1.5 degrees/0.75 degrees interval, at 4/8 Hz, respectively). ResultsThe accuracy of the first-timepoint prediction is 0.36 +/- 0.10 mm (AR) and 0.62 +/- 0.21 mm (LSTM) at 4 Hz and 0.06 +/- 0.02 mm (AR) and 0.18 +/- 0.06 mm (LSTM) at 8 Hz. A 10%-20% random error in prediction-library matching increases the overall uncertainty slightly. For both IMRT and VMAT, the accuracy of projected tumor volume contours on 2D BEV cine is increment COM = 0.39 +/- 0.13 mm and DICE = 0.97 +/- 0.02 at 4 Hz and increment COM = 0.10 +/- 0.04 mm and DICE = 1.00 +/- 0.00 at 8Hz. ConclusionThis study demonstrates the feasibility of accurately predicting respiratory motion during 2D BEV cine imaging, identifying a motion-matched and hysteresis-accounted tumor volume, and projecting tumor volume contour on 2D BEV cine for real-time assessment of beam-to-tumor conformality, promising for optimal personalized MR-guided radiotherapy.