Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy

LV Romaguera, T Mezheritsky, R Mansour… - Medical image …, 2021 - Elsevier
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 …

Predictive online 3D target tracking with population-based generative networks for image-guided radiotherapy

LV Romaguera, T Mezheritsky, R Mansour… - International Journal of …, 2021 - Springer
Purpose Respiratory motion of thoracic organs poses a severe challenge for the
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

J Krebs, H Delingette, N Ayache… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

A localized statistical motion model as a reproducing kernel for non-rigid image registration

C Jud, A Giger, R Sandkühler, PC Cattin - International Conference on …, 2017 - Springer
Thoracic image registration forms the basis for many applications as for example respiratory
motion estimation and physiological investigations of the lung. Although clear motion …

Bilateral regularization in reproducing kernel hilbert spaces for discontinuity preserving image registration

C Jud, N Möri, B Bitterli, PC Cattin - … , MLMI 2016, Held in Conjunction with …, 2016 - Springer
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 …

Personalized respiratory motion model using conditional generative networks for MR-guided radiotherapy

L Vázquez Romaguera, T Mezheritsky… - … Image Computing and …, 2021 - Springer
MRI-guided radiotherapy systems enable real-time 2D cine acquisitions for target
monitoring, but cannot provide volumetric information due to spatio-temporal constraints …

Statistical respiratory models for motion estimation

C Jud, PC Cattin, F Preiswerk - Statistical Shape and Deformation Analysis, 2017 - Elsevier
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 …

Respiratory motion compensation for the robot-guided laser osteotome

A Giger, C Jud, PC Cattin - … journal of computer assisted radiology and …, 2017 - Springer
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 …

An optimal control approach for high intensity focused ultrasound self-scanning treatment planning

N Möri, L Gui, C Jud, O Lorton, R Salomir… - … Image Computing and …, 2017 - Springer
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 …

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 …