Results 31 to 40 of about 682,217 (290)
Expectation Conditional Maximization-Based Deformable Shape Registration [PDF]
, 2013 This paper addresses the issue of matching statistical and non-rigid shapes, and introduces an Expectation Conditional Maximization-based deformable shape registration (ECM-DSR) algorithm.
Zheng, Guoyan, Guoyan Zheng
core +1 more source
Noncoplanar Radiation using Tomotherapy: A Phantom Study
Technology in Cancer Research & Treatment, 2020 Background: There are very few studies on noncoplanar radiation in tomotherapy because deformable image registration is not implemented in the TomoTherapy Planning Station, a treatment planning device used in tomotherapy.
Masahiro Yuasa BS +1 more
doaj +1 more source
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
Development of a Deformable Lung Phantom for the Evaluation of Deformable Registration
Journal of Applied Clinical Medical Physics, 2009 A deformable lung phantom was developed to simulate patient breathing motion and to evaluate a deformable image registration algorithm. The phantom consisted of an acryl cylinder filled with water and a latex balloon located in the inner space of the cylinder. A silicon membrane was attached to the inferior end of the phantom.
Chang, Jina +2 more
openaire +2 more sources
A review of deep learning-based deformable medical image registration
Frontiers in Oncology, 2022 The alignment of images through deformable image registration is vital to clinical applications (e.g., atlas creation, image fusion, and tumor targeting in image-guided navigation systems) and is still a challenging problem.
Jing Zou +3 more
doaj +1 more source
Recurrent Registration Neural Networks for Deformable Image Registration
CoRR, 2019 Parametric spatial transformation models have been successfully applied to image registration tasks. In such models, the transformation of interest is parameterized by a fixed set of basis functions as for example B-splines. Each basis function is located on a fixed regular grid position among the image domain, because the transformation of interest is
Robin Sandkühler +5 more
openaire +3 more sources
Random Walks for Deformable Image Registration [PDF]
, 2011 We introduce a novel discrete optimization method for non-rigid image registration based on the random walker algorithm. We discretize the space of deformations and formulate registration using a Gaussian MRF where continuous labels correspond to the probability of a point having a certain discrete deformation.
Dana Cobzas, Abhishek Sen
openaire +3 more sources
Linear and Deformable Image Registration with 3D Convolutional Neural Networks [PDF]
, 2018 International audienceImage registration and in particular deformable registration methods are pillars of medical imaging. Inspired by the recent advances in deep learning, we propose in this paper, a novel convolutional neu-ral network architecture that
Mougiakakou, Stavroula Georgia +7 more
core +2 more sources
Efficient Variational Approaches for Deformable Registration of Images
Abstract and Applied Analysis, 2012 Dirichlet, anisotropic, and Huber regularization terms are presented for efficient registration of deformable images. Image registration, an ill-posed optimization problem, is solved using a gradient-descent-based method and some fundamental theorems in ...
Mehmet Ali Akinlar +3 more
doaj +1 more source
Deform-GAN:An Unsupervised Learning Model for Deformable Registration
CoRR, 2020 Deformable registration is one of the most challenging task in the field of medical image analysis, especially for the alignment between different sequences and modalities. In this paper, a non-rigid registration method is proposed for 3D medical images leveraging unsupervised learning.
Xiaoyue Zhang +3 more
openaire +3 more sources