Application of Color Television in Bronchoesophagology

1974 ◽  
Vol 83 (6) ◽  
pp. 744-749 ◽  
Author(s):  
John E. Rayl ◽  
Donald Rourke
Keyword(s):  
Patient Education ◽  
Real Time ◽  
Light Sources ◽  
Educational Value ◽  
Image Magnification ◽  
Endoscopic Image ◽  
Color Television ◽  
Videotape Recording ◽  
Television Studio ◽  
Experienced Endoscopist

The educational value of utilizing modern color television studio equipment for endoscopic examinations has improved the efficiency with which the experienced endoscopist can train other physicians. Experience with a color television-endoscopy program has demonstrated the following additional advantages: 1) unlimited audience during real-time viewing; 2) efficient training of endoscopic personnel; 3) endoscopic image magnification; 4) videotape recording; 5) immediate playback; 6) Polaroid photographs of endoscopic lesions from TV monitor for patient's record; 7) patient education; and 8) videotape editing for educational purposes. The basic requirements for a comprehensive color television-endoscopy program including personnel, light sources, endoscopes, cameras, test equipment, synchronization, picture monitors, and videotape recorders are briefly described. This description is related to assist other physicians and associated personnel who wish to implement their own television-endoscopy program.

Quality and Reliability of YouTube for Patient Information on Facial Fillers

2021 ◽  
pp. 074880682199140
Author(s):  
Manish J. Patel ◽  
Mit M. Patel ◽  
Brittany T. Abud ◽  
Robert T. Cristel
Keyword(s):  
Patient Education ◽  
Patient Experience ◽  
Average Length ◽  
Dermal Filler ◽  
Accurate Information ◽  
Sufficient Information ◽  
Inclusion Criteria ◽  
Educational Value ◽  
Facial Filler ◽  
Source Reliability

YouTube proves to be a source of health information for patients. This is the first study to analyze the source reliability and educational value of YouTube videos on facial filler treatments. On August 12, 2020, YouTube.com was queried using the keywords “facial filler” or “dermal filler” or “fillers.” A total of 100 were initially reviewed in which 74 videos met the inclusion criteria and were included in the final analysis. Video characteristics were recorded, and each video was graded for source reliability and educational value by using the Journal of the American Medical Association (JAMA) benchmark criteria and the Global Quality Score (GQS), respectively. Furthermore, each video was assessed to determine whether there was discussion of 5 different topics that were deemed to be useful to patients prior to undergoing a facial filler treatment. A total of 74 videos met the inclusion criteria and had an average length of 436 seconds (7 minutes and 16 seconds), 146 805 views, 1906 likes, 73 dislikes, and 241 comments. Forty-five videos (61%) were posted with an intention to educate patients, whereas 29 videos (39%) were posted with an intention to describe a patient’s experience with facial filler treatment. Patient education videos were found to have a significantly higher educational value ( PGQS < .001). Patient experience videos showed no difference in reliability score ( PJAMA > .05) to patient education videos, but patient experience videos were found to have lower educational value compared with patient education videos ( PGQS < .001). In addition, both categories are not providing sufficient information for informed decision-making prior to treatment deemed by the 5 selected categories we found most informative. As patients will continue to seek educational material online, clinicians should use this information to help primarily educate patients with standardized and accurate information about their treatment.

Implementation of real-time digital endoscopic image processing system

1997 ◽  
Author(s):  
Chul Gyu Song ◽  
Young Mook Lee ◽  
Sang Min Lee ◽  
Won Ky Kim ◽  
Jae Ho Lee ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Image Processing System ◽  
Endoscopic Image

The real time endoscopic image analysis

2017 ◽  
Author(s):  
Radi Kadushnikov ◽  
Dmitry Bykov ◽  
Sergey Studenok ◽  
Vyacheslav Mizgulin
Keyword(s):  
Image Analysis ◽  
Real Time ◽  
The Real ◽  
Endoscopic Image

SS-OCT and FD-OCT System Prototyping Using LabVIEW FPGA

2011 ◽  
Author(s):  
Zach Olson
Keyword(s):  
Real Time ◽  
Graphics Processing Units ◽  
Image Data ◽  
Light Sources ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
Labview Fpga ◽  
And Performance ◽  
Control Light ◽  
The Cost

Optical coherence tomography (OCT) techniques have opened up a number of new medical imaging applications in research and clinical applications. Key application areas include cancer research, vascular applications such as imaging arterial plaque, and ophthalmology applications such as pre and post-operative cataract surgery imaging. Emerging Technologies in galvo control, light sources, detector technologies, and parallel hardware-based processing are increasing the quality and performance of images, as well as reducing the cost and footprint of OCT systems. The parallel computing capabilities of field programmable gate arrays (FPGAs), multi-core processors, and graphics processing units (GPUs) have enabled real-time OCT image processing, which provides real-time image data to support surgical procedures.

Optical Characterization of Chrysotile for the Real Time Detection

2013 ◽  
Vol 464 ◽  
pp. 194-198
Author(s):  
Ho Sang Ahn ◽  
Seung Yeon Song ◽  
Jae Hwan Ahn ◽  
Dae Gyu Jang ◽  
Jin Chul Joo
Keyword(s):  
Real Time ◽  
Wave Length ◽  
Short Wave ◽  
Light Sources ◽  
The Real ◽  
Short Wave Length ◽  
Hydrochloric Acid Treatment ◽  
The Difference ◽  
Test Feasibility ◽  
Different Color

We measured chrominance of chrysotile powder using a colorimeter and a luminance meter under different light sources with seven color filters to test feasibility for the real time asbestos detector development. Chrysotile powder was prepared by heating asbestos fabric at 150 °C for 1hr and hydrochloric acid treatment was followed to remove other elements. Refractive index liquid was used as a color changing analyte to observe the change in chrominance of chrysotile. From the measurements, it revealed that a colorimeter was more suitable for the chrysotile detection by the maximum change in chrominance, especially in the short wave length range of blue regions. A luminance meter was not able to separate the difference in chrominance depending on different color and light sources regardless dyeing. It might be due to that reflected light from chrysotile particle was relatively weaker than that from illuminated area. It is our suggestion that the real time monitoring of asbestos in indoor air can be possible using a color sensor, specified to the unique wavelength of dyed chrysotile based on our chrominance data.

scholarly journals Real-Time Sensing and Control of Integrative Horticultural Lighting Systems

J ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 266-274 ◽  
Author(s):  
Dorukalp Durmus
Keyword(s):  
Real Time ◽  
Spectral Distribution ◽  
Optical Radiation ◽  
Environmental Changes ◽  
Light Sources ◽  
Structural Development ◽  
Lighting System ◽  
Active Feedback ◽  
Lighting Systems ◽  
Physiological Markers

Optical radiation, including light, plays a crucial role in the structural development of plants through photomorphogenesis and the response to environmental changes. However, plant sensitivity to optical radiation widely varies across species. While research efforts are currently underway to discover the fundamentals of plant physiology, light sources with preprogrammed light settings (light recipes) are offered to clients to expedite plant growth. Since horticultural lighting research is in its infancy, prescribed lighting conditions are not likely to address every plants’ needs in terms of the spatial and spectral distribution, intensity, and duration of the light sources. However, it is possible to imagine an intelligent horticultural lighting system that can diagnose plants through sensors, and adjust the light intensity, the spatial and spectral distribution for the specific plant species with active feedback. Such an advanced real-time horticultural lighting system would consist of sensors to detect physiological markers from plants and environmental factors and an artificial intelligence algorithm to adjust the output. While the underlying technology for a real-time optimization system exists, the implementation and training would require further research.

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