The quickhull algorithm for convex hulls
ACM Transactions on Mathematical Software (TOMS)
Inter-subject modelling of liver deformation during radiation therapy
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
4D MR imaging using internal respiratory gating
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Model-Based respiratory motion compensation in MRgHIFU
IPCAI'12 Proceedings of the Third international conference on Information Processing in Computer-Assisted Interventions
Predicting liver motion using exemplar models
MICCAI'12 Proceedings of the 4th international conference on Abdominal Imaging: computational and clinical applications
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In this paper, we present an approach for modelling and predicting organ motion from partial information. We used 4D-MRI sequences of 12 subjects to build a statistical population model for respiratory motion of the liver. Using a Bayesian reconstruction approach, a pre-operative CT scan and a few known surrogate markers, we are able to accurately predict the position of the entire liver at all times. The surrogates may, for example, come from ultrasound, portal images captured during radiotherapy or from implanted electromagnetic beacons. In leave-one-out experiments, we achieve an average prediction error of 1.2 mm over sequences of 20 min with only three surrogates. Our model is accurate enough for clinically relevant treatment intervals and has the potential to be used for adapting the gating window in tumour therapy or even for tracking a tumour continuously during irradiation.