Results 81 to 90 of about 31,416 (280)
A Lightweight Residual Network for Unsupervised Deformable Image Registration
Unsupervised deformable volumetric image registration is crucial for various applications, such as medical imaging and diagnosis. Recently, learning-based methods have achieved remarkable success in this domain.
Ahsan Raza Siyal +2 more
doaj +1 more source
Objective assessment of the quality and accuracy of deformable image registration
Background: The increased use of deformable registration algorithms in clinical practice has also increased the need for their validation. Aims and Objectives: The purpose of the study was to investigate the quality, accuracy, and plausibility of three ...
Ines-Ana Jurkovic +4 more
doaj +1 more source
Distributed-memory large deformation diffeomorphic 3D image registration
We present a parallel distributed-memory algorithm for large deformation diffeomorphic registration of volumetric images that produces large isochoric deformations (locally volume preserving).
Biros, George +2 more
core +1 more source
We used multiple analytical techniques at the Psiché beamline, Synchrotron Soleil, and at D20 instrument in Institut Laue Langevin, to study the densification of thiophosphate solid electrolytes Li3PS4 and Li6PS5Cl. Our combined X‐ray diffraction, absorption tomography, absorption density, neutron power diffraction, and ionic conductivity analyses ...
Oskar Thompson +11 more
wiley +1 more source
A groupwise multiresolution network for DCE-MRI image registration
In four-dimensional time series such as dynamic contrast-enhanced (DCE) MRI, motion between individual time steps due to the patient’s breathing or movement leads to incorrect image analysis, e.g., when calculating perfusion.
Anika Strittmatter +2 more
doaj +1 more source
Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images. [PDF]
BackgroundLiver alignment between series/exams is challenged by dynamic morphology or variability in patient positioning or motion. Image registration can improve image interpretation and lesion co-localization.
Bittencourt, Leornado Kayat +12 more
core
Assembly of Cell‐Seeded 3D Printed Hydrogel Modules with Perfusable Channel Networks
Macroscale assembly was utilized to prepare perfusable tissue constructs from individually 3D printed hydrogel modules with embedded branched channel networks and port arrays for cell seeding. Novel multi‐material bioreactors were fabricated to facilitate the gluing of individual modules and the perfusion culture of assembled modular constructs seeded ...
Zachary J. Geffert +10 more
wiley +1 more source
Automated analysis of small animal PET studies through deformable registration to an atlas [PDF]
Purpose: This work aims to develop a methodology for automated atlas-guided analysis of small animal positron emission tomography (PET) data through deformable registration to an anatomical mouse model. Methods: A non-rigid registration technique is used
Gutierrez, Daniel, Zaidi, Habib
core
The repair and regeneration of brain tissue faces both biological and technical challenges. Injectable bioscaffolds offer new opportunities to stimulate tissue regrowth in the brain by recruiting neural stem cells. Here, the translational issues are reviewed that need to be address to advance this promising new therapeutic approach from the bench to ...
Michel Modo, Alena Kisel
wiley +1 more source
Hybrid multiscale landmark and deformable image registration
An image registration technique is presented for the registration of medical images using a hybrid combination of coarse-scale landmark and B-splines deformable registration techniques. The technique is particularly effective for registration problems in which the images to be registered contain large localized deformations.
Paquin, Dana C., Levy, Doron, Xing, Lei
openaire +3 more sources

