Quantification of geometric uncertainties in image guided radiotherapy [PDF]
, 2010 The aim of this thesis is to determine if the geometric uncertainties that are introduced into the image guided radiotherapy (IGRT) process by Cone Beam CT (CBCT) based IGRT equipment are sufficiently small that they do not pose a significant risk of ...
Sykes, Jonathan
core +6 more sources
Deformable image registration uncertainty quantification using deep learning for dose accumulation in adaptive proton therapy [PDF]
, 2022 Deformable image registration (DIR) is a key element in adaptive radiotherapy (AR) to include anatomical modifications in the adaptive planning. In AR, daily 3D images are acquired and DIR can be used for structure propagation and to deform the daily ...
Lomax, T. (author) +3 more
core +1 more source
ADMIR–Affine and Deformable Medical Image Registration for Drug-Addicted Brain Images
IEEE Access, 2020 We proposed an unsupervised end-to-end Affine and Deformable Medical Image Registration (ADMIR) method based on convolutional neural network (ConvNet).
Kun Tang +4 more
doaj +1 more source
BioMedical Engineering OnLine, 2023 Deformable multimodal image registration plays a key role in medical image analysis. It remains a challenge to find accurate dense correspondences between multimodal images due to the significant intensity distortion and the large deformation. macJNet is
Zhiyong Zhou +6 more
doaj +1 more source
Deformable and articulated 3D reconstruction from monocular video sequences [PDF]
, 2012 PhDThis thesis addresses the problem of deformable and articulated structure from motion from monocular uncalibrated video sequences. Structure from motion is defined as the problem of recovering information about the 3D structure of scenes imaged by a
Paladini, Marco
core +4 more sources
Deformable image registration of follow-up breast magnetic resonance images
, 2022 S.13-24A novel method for the deformable image registration of follow-up breast magnetic resonance (MR) images is proposed, aimed at an automatic synchronization of temporal images.
Boehler, T. +3 more
core +1 more source
INSPIRE: Intensity and spatial information-based deformable image registration.
PLoS ONE, 2023 We present INSPIRE, a top-performing general-purpose method for deformable image registration. INSPIRE brings distance measures which combine intensity and spatial information into an elastic B-splines-based transformation model and incorporates an ...
Johan Öfverstedt +2 more
doaj +1 more source
Variational image registration using inhomogeneous regularization [PDF]
, 2014 We present a generalization of the convolution basedvariational image registration approach, in which differentregularizers can be implemented by conveniently exchangingthe convolution kernel, even if it is nonseparableor nonstationary.
Albrecht, Thomas +4 more
core +1 more source
On the consistency of Fréchet means in deformable models for curve and image analysis [PDF]
, 2010 A new class of statistical deformable models is introduced to study high-dimensional curves or images. In addition to the standard measurement error term, these deformable models include an extra error term modeling the individual variations in intensity
Charlier, Benjamin +3 more
core +1 more source
Progressive 3D biomedical image registration network based on deep self-calibration
Frontiers in Neuroinformatics, 2022 Three dimensional deformable image registration (DIR) is a key enabling technique in building digital neuronal atlases of the brain, which can model the local non-linear deformation between a pair of biomedical images and align the anatomical structures ...
Rui Sun +6 more
doaj +1 more source