Color Conical Holographic Stereograms: Recording and Distortion Compensation Methods

Author(s):  
Luis Manuel Murillo-Mora ◽  
Katsuyuki Okada ◽  
Jumpei Tsujiuchi ◽  
Toshio Honda
2020 ◽  
Author(s):  
Michael-Paul Schallmo ◽  
Kimberly B. Weldon ◽  
Scott R. Sponheim ◽  
Cheryl A. Olman

AbstractEcho planar imaging (EPI) is widely used in functional and diffusion-weighted MRI, but suffers from significant geometric distortions in the phase encoding direction caused by inhomogeneities in the static magnetic field (B0). This is a particular challenge for EPI at very high field (7T and above), as distortion increases with higher field strength. A number of techniques for correcting geometric distortion exist, including those based on B0 field mapping and acquiring EPI scans with opposite phase encoding directions. However, few quantitative comparisons of distortion compensation methods have been performed using EPI data from the human brain, and even fewer at very high field. In the current study, we compared geometric distortion compensation using B0 field maps and opposite phase encoding scans implemented in two different software packages (FSL and AFNI) applied to 7T gradient echo EPI data from 31 human participants. We assessed the quality of distortion compensation by quantifying the degree of alignment to a T1-weighted anatomical reference scan using Dice coefficients and mutual information. We found that the best distortion compensation was achieved in our dataset using gradient echo scans with opposite phase encoding directions to map the distortion, as compared to B0 field maps or spin echo opposite phase encoding scans. Performance between FSL and AFNI was equivalent. While the ideal geometric distortion compensation approach may vary due to methodological differences across experiments, this study provides a framework for researchers to assess the quality of different distortion compensation methods in their own work.


2015 ◽  
Vol 135 (7) ◽  
pp. 755-764 ◽  
Author(s):  
Shuhei Shimizu ◽  
Yoshiki Ohno ◽  
Takahiro Nozaki ◽  
Kouhei Ohnishi

2016 ◽  
Vol E99.B (5) ◽  
pp. 1087-1092 ◽  
Author(s):  
Takashi MAEHATA ◽  
Suguru KAMEDA ◽  
Noriharu SUEMATSU

2017 ◽  
Vol 168 (4) ◽  
pp. 181-185
Author(s):  
Marc Hanewinkel

The forest-game conflict – how can forest economics contribute to solve it? (Essay) Core parameters of forest economics such as land expectation value or highest revenue show that damage caused by wild ungulates can critically influence the economic success of forest enterprises. When assessing and evaluating the damage in order to calculate damage compensation, methods are applied in Germany that look either into the past (“cost value methods”) or into the future (“expected value methods”). The manifold uncertainties related to this evaluation over long-term production periods are taken into account within a framework of conventions through strongly simplifying assumptions. Only lately, the increased production risk due to game-induced loss of species diversity is also considered. Additional aspects that should be taken into account in the future are the loss of climate-adapted species, the change of the insurance values of forest ecosystems and the impossibility of specific management systems such as single-tree selection forestry due to the influence of game. Because of high transaction costs when assessing the damage, financial compensation should only be the “ultimate measure” and a meditation between stakeholder groups with the goal to find a cooperative solution before the damage occurs should be preferred.


2021 ◽  
Vol 16 (1) ◽  
pp. 1-13
Author(s):  
Shukri Afazov ◽  
Eleonora Semerdzhieva ◽  
Daniele Scrimieri ◽  
Ahmad Serjouei ◽  
Bekmurat Kairoshev ◽  
...  

Author(s):  
Fumiya Yamagishi ◽  
Yoshifumi Matsusaki ◽  
Tomohiro Shimazaki ◽  
Takayuki Nakagawa ◽  
Naohiko Iai

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3817
Author(s):  
Nicholas Wei-Jie Goh ◽  
Jun-Jie Poh ◽  
Joshua Yi Yeo ◽  
Benjamin Jun-Jie Aw ◽  
Szu Cheng Lai ◽  
...  

Fever is a common symptom of many infections, e.g., in the ongoing COVID-19 pandemic, keeping monitoring devices such as thermometers in constant demand. Recent technological advancements have made infrared (IR) thermometers the choice for contactless screening of multiple individuals. Yet, even so, the measurement accuracy of such thermometers is affected by many factors including the distance from the volunteers’ forehead, impurities (such as sweat), and the location measured on the volunteers’ forehead. To overcome these factors, we describe the assembly of an Arduino-based digital IR thermometer with distance correction using the MLX90614 IR thermometer and HC-SR04 ultrasonic sensors. Coupled with some analysis of these factors, we also found ways to programme compensation methods for the final assembled digital IR thermometer to provide more accurate readings and measurements.


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