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VolSegGS: Segmentation and Tracking in Dynamic Volumetric Scenes via Deformable 3D Gaussians
IEEE Transactions on Visualization and Computer GraphicsVisualization of large-scale time-dependent simulation data is crucial for domain scientists to analyze complex phenomena, but it demands significant I/O bandwidth, storage, and computational resources. To enable effective visualization on local, low-end
Siyuan Yao, Chaoli Wang
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Journal of Computer Assisted Tomography, 2010
To compare and evaluate, using computer-aided volumetric measurements, the accuracy and reliability of nonpreformed mesh plates (NPMPs) versus 3-dimensionally preformed titanium mesh plates (PMPs) in posttraumatic orbital volume restoration.Facial coronal computed tomographic scan slices from 20 patients (10 in the NPMP and 10 in the PMP group) were ...
Scolozzi, Paolo +2 more
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To compare and evaluate, using computer-aided volumetric measurements, the accuracy and reliability of nonpreformed mesh plates (NPMPs) versus 3-dimensionally preformed titanium mesh plates (PMPs) in posttraumatic orbital volume restoration.Facial coronal computed tomographic scan slices from 20 patients (10 in the NPMP and 10 in the PMP group) were ...
Scolozzi, Paolo +2 more
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Analytic Fourier ptychotomography for volumetric refractive index imaging
Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences IIIThree-dimensional (3D) refractive index (RI) tomography offers label-free, quantitative volumetric imaging but faces limitations due to optical aberrations, limited resolution, and the computational complexity inherent to existing approaches. To overcome
Zhenyu Dong +7 more
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International Conference on Information Photonics
This paper introduces -NeRF, a self-supervised approach that sets a new standard in novel view synthesis (NVS) and computed tomography (CT) reconstruction by modeling a continuous volumetric radiance eld enriched with physics-based attenuation priors ...
Li Zhou +6 more
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This paper introduces -NeRF, a self-supervised approach that sets a new standard in novel view synthesis (NVS) and computed tomography (CT) reconstruction by modeling a continuous volumetric radiance eld enriched with physics-based attenuation priors ...
Li Zhou +6 more
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Advancements in Radiance Field Techniques for Volumetric Video Generation: A Technical Overview
SMPTE Motion Imaging JournalVideo consumption has grown rapidly worldwide, supported by advanced devices such as smartphones, tablets, and immersive headsets like Apple Vision Pro, which enable real-time 6 Degrees of Freedom (6DoF) navigation.
Joshua Maraval, Nicolas Ramin, Lu Zhang
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UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes
arXiv.orgUltrasound imaging is widely used due to its safety, affordability, and real-time capabilities, but its 2D interpretation is highly operator-dependent, leading to variability and increased cognitive demand.
Mark C. Eid +2 more
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2D-to-3D: A Review for Computational 3D Image Reconstruction from X-ray Images
Archives of Computational Methods in Engineering, 2022Payal Maken, Abhishek Gupta
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GeoAvatar: Geometrically-Consistent Multi-Person Avatar Reconstruction from Sparse Multi-View Videos
Computer Vision and Pattern RecognitionMulti-person avatar reconstruction from sparse multi-view videos is challenging. The independent avatar reconstruction of each person often fails to reconstruct the geometric relationship among multiple instances, resulting in inter-penetrations among ...
Soohyun Lee +4 more
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Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction
arXiv.orgCardiac Magnetic Resonance (CMR) imaging is a critical tool for diagnosing and managing cardiovascular disease, yet its utility is often limited by the sparse acquisition of 2D short-axis slices, resulting in incomplete volumetric information.
Niklas Bubeck +10 more
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From 2D to 3D, Deep Learning-based Shape Reconstruction in Magnetic Resonance Imaging: A Review
arXiv.orgDeep learning-based 3-dimensional (3D) shape reconstruction from 2-dimensional (2D) magnetic resonance imaging (MRI) has become increasingly important in medical disease diagnosis, treatment planning, and computational modeling.
Emma McMillian +2 more
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