Results 281 to 290 of about 14,753 (332)

Pulmonary nodule volumetric accuracy of a deep learning-based reconstruction algorithm in low-dose computed tomography: A phantom study

Physica Medica, 2022
To compare the image properties and pulmonary nodule volumetric accuracies among deep learning-based reconstruction (DLR), filtered back projection (FBP), and hybrid iterative reconstruction (hybrid IR) in low-dose computed tomography (LDCT).A multipurpose chest phantom containing artificial spherical pulmonary nodules with 5-, 8-, 10-, and 12-mm ...
Shota Watanabe, Kenta Sakaguchi, Shigetoshi Kitaguchi, Kazunari Ishii   +3 more
openaire   +2 more sources

Three-dimensional optical sensing and computational reconstruction combining integral imaging and axially distributed sensing

Defense + Commercial Sensing
In this undergraduate research work, we studied 3D optical sensing and volumetric computational reconstruction algorithm based on conventional integral imaging and axially distributed sensing architectures.
Nathan Green, Lucas Slomski, Xin Shen
semanticscholar   +1 more source

Comparison of canine femoral torsion measurements using the axial and biplanar methods on three‐dimensional volumetric reconstructions of computed tomography images

Veterinary Surgery, 2021
ABSTRACTObjectiveTo compare the results of the measurement of femoral torsion using the axial measurement method on three‐dimensional (3D) volumetric reconstructions of computed tomography images AMM(CT), the biplanar measurement method on 3D volumetric reconstructions of computed tomography images BMM(CT) and a reference standard using the axial ...
Boris M. Serck, W. Michael Karlin, Michael P. Kowaleski   +2 more
openaire   +2 more sources

Volumetric Planning Using Computed Tomographic Angiography Improves Clinical Outcomes in DIEP Flap Breast Reconstruction

Plastic & Reconstructive Surgery, 2016
Background: The present study evaluated outcomes of deep inferior epigastric perforator (DIEP) flap breast reconstruction using volumetric planning—which is preoperative planning based on volumetric data of the breast and flap estimated from computed tomographic angiography. Methods:
Kyeong-Tae, Lee, Goo-Hyun, Mun
openaire   +2 more sources

Computer-Assisted Volumetric Analysis and Quantitatively Anophthalmic Orbit Reconstruction With Dorsalis Pedis Flap and Bone Graft

Journal of Craniofacial Surgery, 2018
Abstract Current approaches to orbit reconstruction are based on the assumption of facial symmetry and surgeons’ experiences, and the reconstructed orbits are not precise. Through computer-assisted volumetric quantitative analysis, the volume of the bony orbit, and the volume of the soft tissues in both the anophthalmic orbit ...
Li-Ying, Cheng, Wei-Wei, Bian, Xiao-Ming, Sun, Zhe-Yuan, Yu, Ying, Zhang, Lu, Zhang, Yu-Guang, Zhang, Rong, Jin   +7 more
openaire   +2 more sources

SpINR: Neural Volumetric Reconstruction for FMCW Radars

arXiv.org
In this paper, we introduce SpINR, a novel framework for volumetric reconstruction using Frequency-Modulated Continuous-Wave (FMCW) radar data. Traditional radar imaging techniques, such as backprojection, often assume ideal signal models and require ...
Harshvardhan C. Takawale, Nirupam Roy
semanticscholar   +1 more source

Computed Tomographic-Based Volumetric Reconstruction of the Pulmonary System in Scoliosis

Journal of Pediatric Orthopaedics, 2007
Scoliosis has been associated with reduced pulmonary capacity; however, the source of the reduction in capacity (left, right, or both lungs) is not clear. The objective of this study was to investigate trends in left, right, and total lung volume and left/right lung volume asymmetry with spinal curve severity in scoliosis.Three-dimensional volumetric ...
Adam, Clayton J., Cargill, Sara C., Askin, Geoffrey N.   +2 more
openaire   +5 more sources

Real-time 4D MRI reconstruction using DVR-NeMF, a framework for dynamic volumetric reconstruction

Cell Reports Methods
Summary In this study, four dynamic magnetic resonance imaging (MRI) sequences were first developed to collect data. On this basis, we presented DVR-NeMF, a neural magnetic field framework that enables real-time, high-dimensional (4D) MRI reconstruction ...
Ruoxi Wang, Sijie Zhong, Jincheng Li, Weifeng Zhang, Shunwen Zheng, Ziyong Hao, Shuyu Liu, Xin Fang, Rushi Jiao, Yizhe Yuan, Bingsen Xue, Ning Ding, Yanfeng Wang, Ya Zhang, Hongjiang Wei, Zhiyong Zhang, Cheng Jin   +16 more
semanticscholar   +1 more source

A Plug-and-Play Framework for Volumetric Light-Sheet Image Reconstruction

arXiv.org
Cardiac contraction is a rapid, coordinated process that unfolds across three-dimensional tissue on millisecond timescales. Traditional optical imaging is often inadequate for capturing dynamic cellular structure in the beating heart because of a ...
Yi Gong, Xinyuan Zhang, Jichen Chai, Yichen Ding, Yifei Lou   +4 more
semanticscholar   +1 more source

An Algorithm for Fast Computation of 3D Krawtchouk Moments for Volumetric Image Reconstruction

2016
Discrete Krawtchouk moments are powerful tools in the field of image processing application and pattern recognition. In this paper we propose an efficient method based on matrix multiplication and symmetry property to compute 3D Krawtchouk moments. This new method is used to reduce the complexity and computational time for 3D object reconstruction. The
Abderrahim Mesbah, Mostafa El Mallahi, Hakim El Fadili, Khalid Zenkouar, Aissam Berrahou, Hassan Qjidaa   +5 more
openaire   +1 more source