The regularization plays an important role in the sparse-view x-ray computer tomography (CT) reconstruction. Based on the piecewise constant assumption, total variation (TV) regularization has been widely discussed for the sparse-view CT reconstruction. However, TV minimization often leads to some ...
In the medical CT fi eld, sparse-view sampling has prac-tical implications in reducing ionizing radiation, which is harmful to people’s health, decreasing the scanning time and improving the scanning limits in many scenarios [2, 3]. In the industrial CT, when it was limited by scanning ...
Sparse-view Reconstruction can be used to provide accelerated low dose CT imaging with both accelerated scan and reduced projection/back-projection calculation. Despite the rapid developments, image noise and artifacts still remain a major issue in the low dose protocol. In this paper, a deep learn...
In this study, we focused on CT image reconstruction from sparse-view or limited-angle projection data. Many iterative algorithms have been used for CT image reconstruction, and the actual iterative algorithms are well established12. Among them, statistical iterative reconstruction (SIR), which is ...
UpFusion: Novel View Diffusion from Unposed Sparse View Observations (ECCV 2024) - upfusion3d/upfusion
文章结构展示了InstantSplat方法的设计、实现和评估，通过对比实验和消融研究，证明了其在处理稀疏视图和无姿态条件下的新视图合成任务中的有效性和优越性。InstantSplat为3D计算机视觉领域提供了一个强大的工具，特别是在需要快速且高质量渲染新视图的应用场景中。新视图合成方法的初始步骤是快速建立场景的粗略...
摘要: The reconstruction from sparse-view projections is one of important problems in computed tomography limited by the availability or feasibility of a large number of projections. Total variation (TV) ap关键词: Computed tomography Sparse-view reconstruction Curvelet Total variation ...
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data 来自 arXiv.org 喜欢 0 阅读量: 167 作者:A Lahiri,M Klasky,JA Fessler,S Ravishankar 摘要: Reconstruction of CT images from a limited set of projections through an object is ...
We present a novel approach, i.e.,NOPE-SAC, to address the challenging problem ofsparse-view planar 3D reconstructionin a RANSAC framework. We show that accurate camera poses can be achieved from only a few plane correspondences with the proposed neuralone-plane pose hypotheses, thus incurring ...
4D 特征采样:在获得每个instance 在当前帧和历史帧的3D关键点后,我们根据相机的内外参将其投影到对应的多视角多尺度特征图上进行双线性插值采样。从而得到Multi-Keypoint,Multi-Timestamp, Multi-Scale, Multi-View 的特征表示; 层级化特征融合:在采样得到多层级的特征表示后,需要进行层级化的特征融合,我们分为了三...