Web1 de out. de 2024 · A new neural network architecture, 3D Densely Connected Super-Resolution Networks (DCSRN) is introduced to restore HR features of structural brain MR images and it is demonstrated that this network outperforms bicubic interpolation as well as other deep learning methods in restoring 4× resolution-reduced images. Expand 171 PDF Web25 de nov. de 2024 · Super-resolution reconstruction methods have become the go-to approach to compute an isotropic motion-free volume of the fetal brain from low-resolution series of 2D thick slices. Such pipelines often rely on an optimization problem with a data fidelity and a regularization term, balanced by a hyperparameter .
[PDF] Motion-Corrected, Super-Resolution Reconstruction for …
Web10 de ago. de 2024 · In a nutshell, the fetal brain MRI prototype performs the following steps: fetal brain extraction, bias field correction, inter-slice motion estimation based on … Web5 de mai. de 2024 · Super-resolution is a promising technique to create isotropic image volumes from stacks of two-dimensional (2D) motion-corrupted images in fetal magnetic resonance imaging (MRI). Purpose To determine an acquisition quality metric and correlate that metric with radiologist perception of three-dimensional (3D) image quality. Study … importance of transfer of technology
On super-resolution for fetal brain MRI. - Abstract - Europe PMC
Web1 de dez. de 2024 · Diffusion MRI (dMRI) of the developing brain can provide valuable insights into the white matter development. However, slice thickness in fetal dMRI is typically high (i.e., 3–5 mm) to freeze the in-plane motion, which reduces the sensitivity of the dMRI signal to the underlying anatomy. Web10 de jan. de 2024 · Super-resolution (SR) approaches can improve its spatial resolution by reconstructing high-resolution (HR) images from low-resolution (LR) ones to meet … WebHá 2 dias · Quality control (QC) has long been considered essential to guarantee the reliability of neuroimaging studies. It is particularly important for fetal brain MRI, where … importance of trash segregation