Results 41 to 50 of about 37,523 (330)

Landmark-guided deformable image registration for accurate cumulative dose evaluation in lung reirradiation

Physics and Imaging in Radiation Oncology
Background and purpose: Dose summation in thoracic reirradiation is challenging due to anatomical changes and limitations of rigid image registration. Deformable image registration offers improved accuracy but requires careful evaluation before clinical ...
Marija Popovic, Marco di Francesco, Neil Kopek, Georges Al Makdessi, Monica Serban   +4 more
doaj   +1 more source

Effect of image registration on 3D absorbed dose calculations in 177 Lu-DOTATOC Peptide Receptor Radionuclide Therapy [PDF]

, 2018
Peptide receptor radionuclide therapy (PRRT) is an effective MRT (molecular radiotherapy) treatment, which consists of multiple administrations of a radiopharmaceutical labelled with 177Lu or 90Y.
Berenato, Salvatore, Braglia, Luca, Ferri, Valentina, Filice, Angelina, Fioroni, Federica, Grassi, Elisa, Iori, Mauro, Patterson, Nick, Spezi, Emiliano, Versari, Annibale   +9 more
core   +2 more sources

Adversarial Deformation Regularization for Training Image Registration Neural Networks [PDF]

, 2018
We describe an adversarial learning approach to constrain convolutional neural network training for image registration, replacing heuristic smoothness measures of displacement fields often used in these tasks.
Barratt, Dean C., Bonmati, Ester, Emberton, Mark, Ghavami, Nooshin, Gibson, Eli, Hu, Yipeng, Moore, Caroline M., Noble, J. Alison, Vercauteren, Tom   +8 more
core   +2 more sources

Simultaneous Registration and Modeling of Deformable Shapes [PDF]

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06), 2006
Many natural objects vary the shapes as linear combinations of certain bases. The measurement of such deformable shapes is coupling of rigid similarity transformations between the objects and the measuring systems and non-rigid deformations controlled by the linear bases.
Jing Xiao 0006, Bogdan Georgescu, Xiang Zhou 0009, Dorin Comaniciu, Takeo Kanade   +4 more
openaire   +1 more source

Fast Predictive Simple Geodesic Regression

, 2017
Deformable image registration and regression are important tasks in medical image analysis. However, they are computationally expensive, especially when analyzing large-scale datasets that contain thousands of images.
CR Jack, M Niethammer, M Zhang, MA Ikram, PA Yushkevich, PT Fletcher, X Yang, Y Hong   +7 more
core   +1 more source

Prior-based Coregistration and Cosegmentation [PDF]

, 2016
We propose a modular and scalable framework for dense coregistration and cosegmentation with two key characteristics: first, we substitute ground truth data with the semantic map output of a classifier; second, we combine this output with population ...
A Tsai, B Glocker, D Rueckert, JE Iglesias, N Komodakis, RA Heckemann, S Parisot, T Rohlfing, Y Boykov   +8 more
core   +3 more sources

A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration

, 2018
Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep learning methods, notably convolutional neural networks (ConvNets), can be ...
Berendsen, Floris F., de Vos, Bob D., Isgum, Ivana, Sokooti, Hessam, Staring, Marius, Viergever, Max A.   +5 more
core   +2 more sources

Automatic 3D facial model and texture reconstruction from range scans [PDF]

, 2010
This paper presents a fully automatic approach to fitting a generic facial model to detailed range scans of human faces to reconstruct 3D facial models and textures with no manual intervention (such as specifying landmarks).
B. Allen, B.K.P. Horn, D. Terzopoulos, D. Vlasic, F. Pighin, G. Turk, H. Li, H. Pyun, J. Haber, J.y. Noh, K. Hormann, L. Zhang, M. Botsch, P.J. Besl, P.J. Phillips, R.W. Sumner, S. Du, S. Du, S. Rusinkiewicz, T. Weise, V. Blanz   +20 more
core   +1 more source

Artificial Intelligence-based Automated Anatomic Landmark Detection and Image Deformation for Nonsmall Lung Cancer Cases

Journal of Medical Physics
Background: Adaptive radiotherapy for non-small cell lung cancer (NSCLC) requires accurate image registration to account for anatomical changes during treatment.
Siti Zulaikho, Ilga Pradipta Dyah Prameswara, Nelly, Frasisca Yulia Dimitri, Erlinda Ratnasari Putri, Akbar Azzi   +5 more
doaj   +1 more source

ROI-Based Intraoperative MR-CT Registration for Image-Guided Multimode Tumor Ablation Therapy in Hepatic Malignant Tumors

IEEE Access, 2020
Image-guided ablation therapy has been widely used as a minimally invasive treatment for hepatic malignant tumors. Image registration is very useful during such operations, especially for multimode tumor ablation therapy.
Panlong Xu, Chao Chen, Xinyi Wang, Wentao Li, Jianqi Sun   +4 more
doaj   +1 more source