A pilot evaluation study of high resolution digital thermal imaging in the assessment of burn depth

Burns ◽  
2013 ◽  
Vol 39 (1) ◽  
pp. 76-81 ◽  
Author(s):  
Joseph Hardwicke ◽  
Richard Thomson ◽  
Amy Bamford ◽  
Naiem Moiemen
Burns ◽  
2018 ◽  
Vol 44 (1) ◽  
pp. 124-133 ◽  
Author(s):  
Christopher Wearn ◽  
Kwang Chear Lee ◽  
Joseph Hardwicke ◽  
Ammar Allouni ◽  
Amy Bamford ◽  
...  

2016 ◽  
Vol 24 (14) ◽  
pp. 16156 ◽  
Author(s):  
Ruiyun He ◽  
Javier Rodríguez Vázquez de Aldana ◽  
Ginés Lifante Pedrola ◽  
Feng Chen ◽  
Daniel Jaque

2005 ◽  
Author(s):  
Robert Rehm ◽  
Martin Walther ◽  
Johannes Schmitz ◽  
Joachim Fleißner ◽  
Frank Fuchs ◽  
...  

2007 ◽  
Vol 1022 ◽  
Author(s):  
Gilles Tessier ◽  
Mathieu Bardoux ◽  
Céline Filloy ◽  
Danièle Fournier

AbstractThermoreflectance is an non contact optical method using the local reflectivity variations induced by heating to infer temperature mappings, and can be conducted at virtually any wavelength. In the visible, the technique is now well established. It can probe temperatures through several micrometers of transparent encapsulation layers, with sub-micron spatial resolution and 100 mK thermal resolution. In the ultraviolet range, dielectric encapsulation layers are opaque and thermoreflectance gives access to the surface temperature. In the near infrared, thermoreflectance is an interesting solution to examine chips turned upside down, since these wavelengths can penetrate through silicon substrates and give access to the temperature of the active layers themselves. Here, we explore the possibilities of each wavelength range and detail the CCD-based thermal imaging tools dedicated to the high resolution inspection of integrated circuits.


2005 ◽  
Vol 36 (1) ◽  
pp. 1344 ◽  
Author(s):  
Kyung-Jin Yoo ◽  
Seung-Hyun Lee ◽  
An-Su Lee ◽  
Choong-Youl Im ◽  
Tae-Min Kang ◽  
...  

2007 ◽  
Vol 38 (1) ◽  
pp. 1588-1591 ◽  
Author(s):  
Seong Taek Lee ◽  
Min Chul Suh ◽  
Tae Min Kang ◽  
Young Gil Kwon ◽  
Jae Ho Lee ◽  
...  

Author(s):  
Larissa Rocha Presídio ◽  
Flávia Godinho Costa Wanderley ◽  
Alena Peixoto Medrado

Infrared thermography is a noninvasive test that detects the extent of functional, nervous and vascular changes through high resolution thermal imaging. Objective: This technique provides an assessment of acute and chronic pain by increasing and decreasing the microcirculation of the affected region recorded. Subjects and methods: This paper aims to conduct a systematic review study, through the compilation of published articles in the literature about infrared thermography and its relation to dentistry. A systematic review covering a search of electronic databases and international websites was held. Studies regarding the use of infrared thermography in dentistry from 1998 to 2013 were considered eligible. The quality of published papers was evaluated by the JADAD scale. Conclusions: Thus, it is expected to contribute to the expansion of knowledge about infrared thermography as part of dentistry, in their different specialties.


Author(s):  
F. Dadras Javan ◽  
M. Savadkouhi

Abstract. In the last few years, Unmanned Aerial Vehicles (UAVs) are being frequently used to acquire high resolution photogrammetric images and consequently producing Digital Surface Models (DSMs) and orthophotos in a photogrammetric procedure for topography and surface processing applications. Thermal imaging sensors are mostly used for interpretation and monitoring purposes because of lower geometric resolution. But yet, thermal mapping is getting more important in civil applications, as thermal sensors can be used in condition that visible sensors cannot, such as foggy weather and night times which is not possible for visible cameras. But, low geometric quality and resolution of thermal images is a main drawback that 3D thermal modelling are encountered with. This study aims to offer a solution for to fixing mentioned problem and generating a thermal 3D model with higher spatial resolution based on thermal and visible point clouds integration. This integration leads to generate a more accurate thermal point cloud and DEM with more density and resolution which is appropriate for 3D thermal modelling. The main steps of this study are: generating thermal and RGB point clouds separately, registration of them in two course and fine level and finally adding thermal information to RGB high resolution point cloud by interpolation concept. Experimental results are presented in a mesh that has more faces (With a factor of 23) which leads to a higher resolution textured mesh with thermal information.


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