Real-time pickup and display integral imaging system without pseudoscopic problem

2013 ◽  
Author(s):  
Jonghyun Kim ◽  
Jae-Hyun Jung ◽  
Byoungho Lee
Keyword(s):  
Real Time ◽  
Imaging System ◽  
Integral Imaging

Viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing

2017 ◽  
Author(s):  
Md. Ashraful Alam ◽  
Md. Sifatul Islam ◽  
Mohd. Zishan Tareque ◽  
Mahfuze Subhani ◽  
M. Rashidur Rahman Rafi ◽  
...  
Keyword(s):  
Parallel Processing ◽  
Real Time ◽  
Imaging System ◽  
Viewing Angle ◽  
Integral Imaging ◽  
Time Integral

Multiple Orthographic Frustum Combing for Real-Time Computer-Generated Integral Imaging System

2014 ◽  
Vol 10 (8) ◽  
pp. 704-709 ◽  
Author(s):  
Shu-Li Li ◽  
Qiong-Hua Wang ◽  
Zhao-Long Xiong ◽  
Huan Deng ◽  
Chao-Chao Ji
Keyword(s):  
Real Time ◽  
Imaging System ◽  
Integral Imaging

P-46: Real-time Computer-Generated Integral Imaging System Based on Multiple Orthographic Frustum Combining

2014 ◽  
Vol 45 (1) ◽  
pp. 1145-1148
Author(s):  
Shu-Li Li ◽  
Da-Hai Li ◽  
Zhao-Long Xiong ◽  
Huan Deng ◽  
Xin Zhou ◽  
...  
Keyword(s):  
Real Time ◽  
Imaging System ◽  
Integral Imaging

Real-time integral imaging system with handheld light field camera

2014 ◽  
Author(s):  
Youngmo Jeong ◽  
Jonghyun Kim ◽  
Jiwoon Yeom ◽  
Byoungho Lee
Keyword(s):  
Real Time ◽  
Light Field ◽  
Imaging System ◽  
Integral Imaging ◽  
Time Integral

scholarly journals Real-time integral imaging system for light field microscopy

2014 ◽  
Vol 22 (9) ◽  
pp. 10210 ◽  
Author(s):  
Jonghyun Kim ◽  
Jae-Hyun Jung ◽  
Youngmo Jeong ◽  
Keehoon Hong ◽  
Byoungho Lee
Keyword(s):  
Real Time ◽  
Light Field ◽  
Imaging System ◽  
Integral Imaging ◽  
Time Integral

scholarly journals Computational Large Field-of-View RGB-D Integral Imaging System

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7407
Author(s):  
Geunho Jung ◽  
Yong-Yuk Won ◽  
Sang Min Yoon
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Imaging System ◽  
Field Of View ◽  
Large Field ◽  
Depth Information ◽  
Research Attention ◽  
Integral Imaging ◽  
Computational Integral Imaging ◽  
Micro Lens

The integral imaging system has received considerable research attention because it can be applied to real-time three-dimensional image displays with a continuous view angle without supplementary devices. Most previous approaches place a physical micro-lens array in front of the image, where each lens looks different depending on the viewing angle. A computational integral imaging system with a virtual micro-lens arrays has been proposed in order to provide flexibility for users to change micro-lens arrays and focal length while reducing distortions due to physical mismatches with the lens arrays. However, computational integral imaging methods only represent part of the whole image because the size of virtual lens arrays is much smaller than the given large-scale images when dealing with large-scale images. As a result, the previous approaches produce sub-aperture images with a small field of view and need additional devices for depth information to apply to integral imaging pickup systems. In this paper, we present a single image-based computational RGB-D integral imaging pickup system for a large field of view in real time. The proposed system comprises three steps: deep learning-based automatic depth map estimation from an RGB input image without the help of an additional device, a hierarchical integral imaging system for a large field of view in real time, and post-processing for optimized visualization of the failed pickup area using an inpainting method. Quantitative and qualitative experimental results verify the proposed approach’s robustness.

scholarly journals Performance of a novel protease-activated fluorescent imaging system for intraoperative detection of residual breast cancer during breast conserving surgery

2021 ◽  
Vol 187 (1) ◽  
pp. 145-153
Author(s):  
Conor R. Lanahan ◽  
Bridget N. Kelly ◽  
Michele A. Gadd ◽  
Michelle C. Specht ◽  
Carson L. Brown ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Real Time ◽  
Imaging System ◽  
Ex Vivo ◽  
Menopausal Status ◽  
Fluorescent Imaging ◽  
Cancer Subtypes ◽  
Surgical Workflow ◽  
Tumor Types

Abstract Purpose Safe breast cancer lumpectomies require microscopically clear margins. Real-time margin assessment options are limited, and 20–40% of lumpectomies have positive margins requiring re-excision. The LUM Imaging System previously showed excellent sensitivity and specificity for tumor detection during lumpectomy surgery. We explored its impact on surgical workflow and performance across patient and tumor types. Methods We performed IRB-approved, prospective, non-randomized studies in breast cancer lumpectomy procedures. The LUM Imaging System uses LUM015, a protease-activated fluorescent imaging agent that identifies residual tumor in the surgical cavity walls. Fluorescent cavity images were collected in real-time and analyzed using system software. Results Cavity and specimen images were obtained in 55 patients injected with LUM015 at 0.5 or 1.0 mg/kg and in 5 patients who did not receive LUM015. All tumor types were distinguished from normal tissue, with mean tumor:normal (T:N) signal ratios of 3.81–5.69. T:N ratios were 4.45 in non-dense and 4.00 in dense breasts (p = 0.59) and 3.52 in premenopausal and 4.59 in postmenopausal women (p = 0.19). Histopathology and tumor receptor testing were not affected by LUM015. Falsely positive readings were more likely when tumor was present < 2 mm from the adjacent specimen margin. LUM015 signal was stable in vivo at least 6.5 h post injection, and ex vivo at least 4 h post excision. Conclusions Intraoperative use of the LUM Imaging System detected all breast cancer subtypes with robust performance independent of menopausal status and breast density. There was no significant impact on histopathology or receptor evaluation.

scholarly journals Real-Time In Vivo Bioluminescent Imaging for Evaluating the Efficacy of Antibiotics in a Rat Staphylococcus aureus Endocarditis Model

2005 ◽  
Vol 49 (1) ◽  
pp. 380-387 ◽  
Author(s):  
Yan Q. Xiong ◽  
Julie Willard ◽  
Jagath L. Kadurugamuwa ◽  
Jun Yu ◽  
Kevin P. Francis ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Real Time ◽  
Imaging System ◽  
Bioluminescent Imaging ◽  
Vancomycin Therapy ◽  
Treatment Groups ◽  
Highly Sensitive ◽  
Relevant Animal Model ◽  
And Control

ABSTRACT Therapeutic options for invasive Staphylococcus aureus infections have become limited due to rising antimicrobial resistance, making relevant animal model testing of new candidate agents more crucial than ever. In the present studies, a rat model of aortic infective endocarditis (IE) caused by a bioluminescently engineered, biofilm-positive S. aureus strain was used to evaluate real-time antibiotic efficacy directly. This strain was vancomycin and cefazolin susceptible but gentamicin resistant. Bioluminescence was detected and quantified daily in antibiotic-treated and control animals with IE, using a highly sensitive in vivo imaging system (IVIS). Persistent and increasing cardiac bioluminescent signals (BLS) were observed in untreated animals. Three days of vancomycin therapy caused significant reductions in both cardiac BLS (>10-fold versus control) and S. aureus densities in cardiac vegetations (P < 0.005 versus control). However, 3 days after discontinuation of vancomycin therapy, a greater than threefold increase in cardiac BLS was observed, indicating relapsing IE (which was confirmed by quantitative culture). Cefazolin resulted in modest decreases in cardiac BLS and bacterial densities. These microbiologic and cardiac BLS differences during therapy correlated with a longer time-above-MIC for vancomycin (>12 h) than for cefazolin (∼4 h). Gentamicin caused neither a reduction in cardiac S. aureus densities nor a reduction in BLS. There were significant correlations between cardiac BLS and S. aureus densities in vegetations in all treatment groups. These data suggest that bioluminescent imaging provides a substantial advance in the real-time monitoring of the efficacy of therapy of invasive S. aureus infections in live animals.

Sign in / Sign up

Export Citation Format

Share Document