scholarly journals Flying spot thermography: Quantitative assessment of thermal diffusivity and crack width

2020 ◽  
Vol 127 (13) ◽  
pp. 131101
Author(s):  
Agustín Salazar ◽  
Arantza Mendioroz ◽  
Alberto Oleaga
Keyword(s):  
Thermal Diffusivity ◽  
Crack Width ◽  
Quantitative Assessment ◽  
Flying Spot

Flying-spot thermography: measuring the in-plane (an)isotropic thermal diffusivity of large and complex parts

2019 ◽  
Author(s):  
Adrián Bedoya ◽  
Jorge González ◽  
Arantza Mendioroz ◽  
Christophe Pradere ◽  
Alain Sommier ◽  
...  
Keyword(s):  
Thermal Diffusivity ◽  
Complex Parts ◽  
Flying Spot

Pulsed Flying Spot Elliptic method for the estimation of the thermal diffusivity field of orthotropic materials

2018 ◽  
Vol 125 ◽  
pp. 142-148 ◽  
Author(s):  
L. Gaverina ◽  
A. Sommier ◽  
J.L. Battaglia ◽  
J.C. Batsale ◽  
C. Pradere
Keyword(s):  
Thermal Diffusivity ◽  
Orthotropic Materials ◽  
Flying Spot

scholarly journals Constant Velocity Flying Spot for the estimation of in-plane thermal diffusivity on anisotropic materials

2019 ◽  
Vol 145 ◽  
pp. 106000 ◽  
Author(s):  
L. Gaverina ◽  
M. Bensalem ◽  
A. Bedoya ◽  
J. González ◽  
A. Sommier ◽  
...  
Keyword(s):  
Thermal Diffusivity ◽  
Constant Velocity ◽  
Anisotropic Materials ◽  
Flying Spot

Author response for "Quantitative assessment of amygdala in macaca fascicularis monkeys"

2020 ◽  
Author(s):  
José‐Carlos Delgado‐González ◽  
Carlos‐de‐la Rosa Prieto ◽  
Nuria Vallejo‐Calcerrada ◽  
Diana‐Lucía Tarruela‐Hernández ◽  
Sandra Cebada‐Sánchez ◽  
...  
Keyword(s):  
Quantitative Assessment ◽  
Macaca Fascicularis ◽  
Author Response

Photopyroelectric Measurement of the Thermal Diffusivity of Recrystallized High Purity Aluminum

1991 ◽  
Vol 3 (1) ◽  
pp. 69-80
Author(s):  
S. B. Peralta ◽  
S. C. Ellis ◽  
C. Christofides ◽  
A. Mandeiis ◽  
H. Sang ◽  
...  
Keyword(s):  
Thermal Diffusivity ◽  
High Purity ◽  
High Purity Aluminum

Initial experience with a new quantitative assessment tool for fluorescent imaging in peripheral artery disease

VASA ◽  
2017 ◽  
Vol 46 (5) ◽  
pp. 383-388 ◽  
Author(s):  
Henrik Christian Rieß ◽  
Anna Duprée ◽  
Christian-Alexander Behrendt ◽  
Tilo Kölbel ◽  
Eike Sebastian Debus ◽  
...  
Keyword(s):  
Indocyanine Green ◽  
Quantitative Assessment ◽  
Tissue Perfusion ◽  
Fluorescent Imaging ◽  
Peripheral Artery ◽  
Peripheral Bypass ◽  
Before And After ◽  
Artery Disease ◽  
Green Fluorescent ◽  
Peripheral Bypass Grafting

Abstract. Background: Perioperative evaluation in peripheral artery disease (PAD) by common vascular diagnostic tools is limited by open wounds, medial calcinosis or an altered collateral supply of the foot. Indocyanine green fluorescent imaging (ICG-FI) has recently been introduced as an alternative tool, but so far a standardized quantitative assessment of tissue perfusion in vascular surgery has not been performed for this purpose. The aim of this feasibility study was to investigate a new software for quantitative assessment of tissue perfusion in patients with PAD using indocyanine green fluorescent imaging (ICG-FI) before and after peripheral bypass grafting. Patients and methods: Indocyanine green fluorescent imaging was performed in seven patients using the SPY Elite system before and after peripheral bypass grafting for PAD (Rutherford III-VI). Visual and quantitative evaluation of tissue perfusion was assessed in an area of low perfusion (ALP) and high perfusion (AHP), each by three independent investigators. Data assessment was performed offline using a specially customized software package (Institute for Laser Technology, University Ulm, GmbH). Slope of fluorescent intensity (SFI) was measured as time-intensity curves. Values were compared to ankle-brachial index (ABI), slope of oscillation (SOO), and time to peak (TTP) obtained from photoplethysmography (PPG). Results: All measurements before and after surgery were successfully performed, showing that ABI, TTP, and SOO increased significantly compared to preoperative values, all being statistically significant (P < 0.05), except for TTP (p = 0.061). Further, SFI increased significantly in both ALP and AHP (P < 0.05) and correlated considerably with ABI, TTP, and SOO (P < 0.05). Conclusions: In addition to ABI and slope of oscillation (SOO), the ICG-FI technique allows visual assessment in combination with quantitative assessment of tissue perfusion in patients with PAD. Ratios related to different perfusion patterns and SFI seem to be useful tools to reduce factors disturbing ICG-FI measurements.

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