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Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy
Shape and location organ variability induced by respiration constitutes one of the main
challenges during dose delivery in radiotherapy. Providing up-to-date volumetric information …
challenges during dose delivery in radiotherapy. Providing up-to-date volumetric information …
Predictive online 3D target tracking with population-based generative networks for image-guided radiotherapy
Purpose Respiratory motion of thoracic organs poses a severe challenge for the
administration of image-guided radiotherapy treatments. Providing online and up-to-date …
administration of image-guided radiotherapy treatments. Providing online and up-to-date …
Learning a generative motion model from image sequences based on a latent motion matrix
We propose to learn a probabilistic motion model from a sequence of images for spatio-
temporal registration. Our model encodes motion in a low-dimensional probabilistic space …
temporal registration. Our model encodes motion in a low-dimensional probabilistic space …
A localized statistical motion model as a reproducing kernel for non-rigid image registration
Thoracic image registration forms the basis for many applications as for example respiratory
motion estimation and physiological investigations of the lung. Although clear motion …
motion estimation and physiological investigations of the lung. Although clear motion …
Bilateral regularization in reproducing kernel hilbert spaces for discontinuity preserving image registration
The registration of abdominal images is an increasing field in research and forms the basis
for studying the dynamic motion of organs. Particularly challenging therein are organs which …
for studying the dynamic motion of organs. Particularly challenging therein are organs which …
Personalized respiratory motion model using conditional generative networks for MR-guided radiotherapy
MRI-guided radiotherapy systems enable real-time 2D cine acquisitions for target
monitoring, but cannot provide volumetric information due to spatio-temporal constraints …
monitoring, but cannot provide volumetric information due to spatio-temporal constraints …
Statistical respiratory models for motion estimation
Cancer has ever since been a leading cause of death worldwide. According to the World
Health Organization, cancer is the second leading cause of death in developed countries …
Health Organization, cancer is the second leading cause of death in developed countries …
Respiratory motion compensation for the robot-guided laser osteotome
Purpose The use of a robot-guided laser osteotome for median sternotomy is impeded by
prohibiting cutting inaccuracies due to respiration-induced motions of the thorax. With this …
prohibiting cutting inaccuracies due to respiration-induced motions of the thorax. With this …
An optimal control approach for high intensity focused ultrasound self-scanning treatment planning
In noninvasive abdominal tumor treatment, research has focused on canceling organ motion
either by gating, breath holding or tracking of the target. This paper is based on the novel …
either by gating, breath holding or tracking of the target. This paper is based on the novel …
Image-Based Analysis and Modelling of Respiratory Motion Using Deep Learning Techniques
L Vazquez Romaguera - 2021 - publications.polymtl.ca
Résumé En Amérique du Nord, les tumeurs primitives du foie et les métastases associées
représen-tent la deuxième cause de mortalité liée au cancer, causant plus de 600 000 …
représen-tent la deuxième cause de mortalité liée au cancer, causant plus de 600 000 …