Fast and accurate deformable contour propagation for intra-fraction adaptive magnetic resonance-guided prostate radiotherapy

Clinical application of a sub-fractionation workflow for intrafraction re-planning during prostate radiotherapy treatment on a 1.5 Tesla MR-Linac: A practical method to mitigate intrafraction motion

“…Furthermore, future work should focus optimization of individual workflow steps, such as deformable contour propagation and imaging, as this will increase efficiency and limit idle time. Different and/or improved DIR algorithms, such as anatomically-adaptive registration, deep learning-based auto-contouring, or hybrid solutions could improve contour accuracy and reduce the need for manual operator intervention even further [25,26]. This would allow repetitive application of the ATS workflow within acceptable time frames.…”

Accumulated bladder wall dose is correlated with patient-reported acute urinary toxicity in prostate cancer patients treated with stereotactic, daily adaptive MR-guided radiotherapy

“…An in-house developed deformable image registration (DIR) algorithm and pipeline was used ('EVolution') [20], which was extended with dose accumulation possibilities [21]. The algorithm was chosen based on its previous successful employment for registering longitudinally-acquired MR images in PCa patients [21][22][23]. The delineated outer and inner bladder wall contours were used to guide the registration process.…”

Dose-volume-based evaluation of convolutional neural network-based auto-segmentation of thoracic organs at risk

“…Vaassen et al have drawn up recommendations for manual checks of automatically contoured OARs in NSCLC, based on the dosevolume effect of contour variations for patients receiving 60 Gy in 30 fractions [10]. The clinical impact of (atlas-based or deep-learning based) automatic contours for thoracic OARs has been assessed by means of observers' rating [8,11,12], concordance indices [13], geometrical metrics [14,15] and dose statistics [16,10].…”