Non-invasive determination of the optical properties of the human head using a neural network

2011 ◽  
Author(s):  
Marion Jäger ◽  
Alwin Kienle
Keyword(s):  
Neural Network ◽  
Optical Properties ◽  
Human Head ◽  
Non Invasive

Non-invasive determination of the optical properties of brain using a neural network

2009 ◽  
Author(s):  
Marion Jäger ◽  
André Liemert ◽  
Florian Foschum ◽  
Alwin Kienle
Keyword(s):  
Neural Network ◽  
Optical Properties ◽  
Non Invasive

Non-invasive determination of the optical properties of brain using a neural network

2009 ◽  
Author(s):  
Marion Jäger ◽  
André Liemert ◽  
Florian Foschum ◽  
Alwin Kienle
Keyword(s):  
Neural Network ◽  
Optical Properties ◽  
Non Invasive

scholarly journals Method of Non-Invasive determination of wheel rim technical condition using vibration measurement and artificial neural network

Measurement ◽  
2021 ◽  
Vol 185 ◽  
pp. 110050
Author(s):  
M. Borecki ◽  
A. Rychlik ◽  
O. Vrublevskyi ◽  
A. Olejnik ◽  
M.L. Korwin-Pawlowski
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Technical Condition ◽  
Vibration Measurement ◽  
Non Invasive ◽  
Wheel Rim ◽  
Artificial Neural

scholarly journals Technical Note: Determination of aerosol optical properties by a calibrated sky imager

2009 ◽  
Vol 9 (17) ◽  
pp. 6417-6427 ◽  
Author(s):  
A. Cazorla ◽  
J. E. Shields ◽  
M. E. Karr ◽  
F. J. Olmo ◽  
A. Burden ◽  
...  
Keyword(s):  
Neural Network ◽  
Optical Properties ◽  
Standard Method ◽  
Technical Note ◽  
Atmospheric Radiation ◽  
The Neural Network ◽  
Physical Laboratory ◽  
Atmospheric Radiation Measurement ◽  
Sky Imager

Abstract. The calibrated ground-based sky imager developed in the Marine Physical Laboratory, the Whole Sky Imager (WSI), has been tested with data from the Atmospheric Radiation Measurement Program (ARM) at the Southern Great Plain site (SGP) to determine optical properties of the atmospheric aerosol. Different neural network-based models calculate the aerosol optical depth (AOD) for three wavelengths using the radiance extracted from the principal plane of sky images from the WSI as input parameters. The models use data from a CIMEL CE318 photometer for training and validation and the wavelengths used correspond to the closest wavelengths in both instruments. The spectral dependency of the AOD, characterized by the Ångström exponent α in the interval 440–870 nm, is also derived using the standard AERONET procedure and also with a neural network-based model using the values obtained with a CIMEL CE318. The deviations between the WSI derived AOD and the AOD retrieved by AERONET are within the nominal uncertainty assigned to the AERONET AOD calculation (±0.01), in 80% of the cases. The explanation of data variance by the model is over 92% in all cases. In the case of α, the deviation is within the uncertainty assigned to the AERONET α (±0.1) in 50% of the cases for the standard method and 84% for the neural network-based model. The explanation of data variance by the model is 63% for the standard method and 77% for the neural network-based model.

scholarly journals The influence of the optical properties on the determination of capillary diameters

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Moritz Späth ◽  
Maximilian Rohde ◽  
Dongqin Ni ◽  
Ferdinand Knieling ◽  
Florian Stelzle ◽  
...  
Keyword(s):  
Optical Properties ◽  
Absolute Quantification ◽  
The State ◽  
Capillary Diameter ◽  
Non Invasive ◽  
Wide Range ◽  
All Optical ◽  
Invasive Method ◽  
Diffuse Reflectance Imaging

AbstractVarious clinically applicable scores and indices are available to help identify the state of a microcirculatory disorder in a patient. Several of these methods, however, leave room for interpretation and only provide clues for diagnosis. Thus, a measurement method that allows a reliable detection of impending or manifest circulatory malfunctions would be of great value. In this context, the optical and non-invasive method of shifted position-diffuse reflectance imaging (SP-DRI) was developed. It allows to determine the capillary diameter and thus to assess the state of the microcirculation. The aim of the present study is to investigate how the quantification of capillary diameters by SP-DRI behaves in different individuals, i.e. for a wide range of optical properties. For this, within Monte-Carlo simulations all optical properties (seven skin layers, hemoglobin) were randomly varied following a Gaussian distribution. An important finding from the present investigation is that SP-DRI works when the optical properties are chosen randomly. Furthermore, it is shown that appropriate data analysis allows calibration-free absolute quantification of the capillary diameter across individuals using SP-DRI. This underpins the potential of SP-DRI to serve as an early alert system for the onset of microcirculatory associated diseases.

Charge-coupled device and neural-network-based instrument for the noninvasive determination of tissue optical properties in vivo

1994 ◽  
Author(s):  
Thomas J. Farrell ◽  
Michael S. Patterson ◽  
Joseph E. Hayward ◽  
Brian C. Wilson ◽  
Elsa R. Beck
Keyword(s):  
Neural Network ◽  
Optical Properties ◽  
Charge Coupled Device ◽  
Tissue Optical Properties
Sign in / Sign up

Export Citation Format

Share Document