Relevant bibliographies by topics / Infrared Diagnosis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Infrared Diagnosis'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Infrared Diagnosis"

1

Chandavong, Phoutsavanh. "The Development of Power Transformers Diagnosis Framework Using Infrared Thermograms Analysis." International Journal of Information and Electronics Engineering 8, no. 1 (2018): 10–14. http://dx.doi.org/10.18178/ijiee.2018.8.1.686.

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MIYAZAKI, Mari, and Roumiana TSENKOVA. "Near Infrared Spectroscopy for Mastitis Diagnosis." Review of Laser Engineering 39, no. 4 (2011): 250–54. http://dx.doi.org/10.2184/lsj.39.250.

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Yamada, Yukio. "Medical Diagnosis Using Near-Infrared Light." Netsu Bussei 7, no. 2 (1993): 115–20. http://dx.doi.org/10.2963/jjtp.7.115.

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Liu, K. Z., C. P. Schultz, E. A. Salamon, A. Man, and H. H. Mantsch. "Infrared spectroscopic diagnosis of thyroid tumors." Journal of Molecular Structure 661-662 (December 2003): 397–404. http://dx.doi.org/10.1016/j.molstruc.2003.07.021.

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Lo, Tommy Y., and K. T. W. Choi. "Building defects diagnosis by infrared thermography." Structural Survey 22, no. 5 (2004): 259–63. http://dx.doi.org/10.1108/02630800410571571.

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Tanaka, H. "Diagnosis of Varicocele by Infrared Thermography." Aktuelle Urologie 21, S 1 (1990): 67–70. http://dx.doi.org/10.1055/s-2008-1060676.

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Krasnikova, O. V., A. S. Gordetsov, and A. A. Puzankov. "Pancreatic cancer diagnosis by infrared serum spectroscopy." Experimental and Clinical Gastroenterology 174, no. 4 (2020): 100–106. http://dx.doi.org/10.31146/1682-8658-ecg-176-4-100-106.

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Khuskivadze, A., B. Partsvania, T. Sulamberidze, and S. Abazadze. "Near infrared light in prostate cancer diagnosis." European Urology Open Science 21 (November 2020): S97. http://dx.doi.org/10.1016/s2666-1683(20)36169-3.

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Buffington, Charles A. "DIAGNOSIS OF INTERSTITIAL CYSTITIS USING INFRARED MICROSPECTROSCOPY." Journal of Urology 179, no. 4S (2008): 62. http://dx.doi.org/10.1016/s0022-5347(08)60183-4.

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Pope, Alexandra, Ranga‐Ram Chary, David M. Alexander, et al. "Mid‐Infrared Spectral Diagnosis of Submillimeter Galaxies." Astrophysical Journal 675, no. 2 (2008): 1171–93. http://dx.doi.org/10.1086/527030.

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Dissertations / Theses on the topic "Infrared Diagnosis"

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Hope, Matthew J. "Near-infrared spectroscopic diagnosis of acute compartment syndrome." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/24707.

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Hypothesis: NIRS can be used as a reliable method for the detection of an acute compartment syndrome. Methods:  1) A prospective clinical trial of 102 patients at risk of an ACS. Continuous invasive pressure and NIRS measurements were recorded and compared. 2) A porcine model of 15 animals to investigate the influence of a subcutaneous and intra-muscular haematoma on the ability of NIRS to detect an ACS. 3) Two studies of volunteer subjects investigated the relationship between adipose thickness, measured by ultrasound, and the values of StO<sub>2</sub> provided by NIRS. Results: 1) Correlation was observed between StO<sub>2</sub> and compartment pressure. Calculating the StO<sub>2</sub> difference between the injured and un-injured limbs reduced the inter-patient variability. 2) The presence of a sub-cutaneous haematoma increased the StO<sub>2</sub> value. 3) The StO<sub>2</sub> value over the leg correlated with adipose thickness and total tissue haemoglobin. Conclusions: Inter-patient variations in StO<sub>2</sub> made interpretation of clinical data difficult. The presence of a subcutaneous haematoma could cause a false negative diagnosis of ACS by elevating the StO<sub>2</sub> value. The quantitative use of NIRS to measure StO<sub>2</sub> could be improved by calibrating for adipose thickness.
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Peng, Chengyuan. "Diagnosis of Steatosis, Precancerous Lesions and Hepatocellular Carcinoma Using Infrared Microspectroscopy." Thesis, Paris 11, 2015. http://www.theses.fr/2015PA11T032.

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Carcinome hépatocellulaire (CHC) est le sixième cancer et la deuxième cause de mortalité par cancer dans le monde. Dans la majorité des cas, le CHC se développe sur une maladie chronique associée à des étiologies variées telles que l'infection par le virus de l'hépatite B ou l’hépatite C, la consommation excessive d'alcool et des maladies métaboliques. Le développement des maladies chroniques du foie qui conduisent à la cirrhose puis au cancer induisent des modifications de la composition chimique des cellules et des tissus. En effet, la carcinogenèse hépatique est un processus en plusieurs étapes caractérisé par la progression de nodules de régénération, de nodules dysplasiques de bas grade puis de grade et enfin du CHC. Le traitement du CHC reste difficile et la transplantation du foie est la seule option thérapeutique curative à long terme. Le problème est qu'il n'y a pas de marqueur objectifs et quantifiables pour contrôler la qualité d’un greffon. Des biomarqueurs spécifiques marquant la progression du CHC font également défauts.Dans ce travail de thèse, nous avons évalué l’intérêt de la microspectroscopie infrarouge (IR) pour le diagnostic de la stéatose, qui est le facteur le plus important affectant la reprise de la fonction hépatique après greffe de foie. La microspectroscopie infrarouge permet de détecter de façon qualitative et quantitative les caractéristiques biochimiques liées aux différents constituants moléculaires présents dans l'échantillon biologique. Nos travaux ont montré que la progression de la stéatose hépatique correspond non seulement à l'accumulation de lipides, mais également à des changements spectaculaires dans la composition qualitative du tissu. En effet, le bas grade de stéatose présente une diminution de la teneur en glycogène et une augmentation concomitante de lipides par rapport au foie normal. La stéatose intermédiaire montre une augmentation de glycogène et des changements majeurs sont observés en ce qui concerne les lipides, avec une contribution significative des acides gras estérifiés, des chaînes de carbone allongées et des lipides insaturés. Ces caractéristiques sont encore plus prononcées dans les hauts degrés de stéatose. De plus, nous avons mis en évidence que des changements biochimiques majeurs se produisent dans la partie non-stéatosique du tissu malgré son aspect normal sur le plan histologique, ce qui suggère que l’organe dans son ensemble reflète le degré de la stéatose.La deuxième partie de la thèse est focalisée la carcinogenèse hépatique. Il s’agit d’un processus en plusieurs étapes qui se caractérise dans la plupart des foies cirrhotiques par la progression de nodules hyperplasiques de régénération vers des lésions précancéreuses telles que les nodules dysplasiques de bas grade puis de haut grade et enfin le CHC. Le diagnostic différentiel entre nodules dysplasiques en particulier de haut garde et CHC reste extrêmement difficile. Nous avons abordé le potentiel de la microspectroscopie IR pour le diagnostic des nodules cirrhotiques. Nous avons observé de profondes modifications de la composition biochimique du foie pathologique. En effet, des changements importants ont été détectés dans la composition des lipides, des protéines et des sucres mettant en évidence la reprogrammation métabolique dans la carcinogenèse. Les principaux changements ont été observés dans le domaine de fréquence 950-1480 cm-1 dans lequel plusieurs bandes permettaient la discrimination des nodules cirrhotiques, dysplasiques et tumoraux. Enfin, nous avons montré que le diagnostic peut être réalisé à l’aide d’un microscope de laboratoire qui peut être facilement mis en œuvre en milieu hospitalier<br>Hepatocellular carcinoma (HCC) is the sixth most common neoplasm and the second most common cause of death in the world. Hepatocarcinogenesis is a multistep process characterized in patients with chronic liver diseases by a spectrum of hepatic nodules that mark the progression from regenerative nodules to dysplastic lesions followed by HCC. Liver transplantation remains the curative therapeutic option able to treat both the HCC and the underlying liver disease. The issue is that there is no objective and quantifiable marker for quality control of liver graft. Specific biomarkers of early stages of HCC are also an unmet need.In this study, we have evaluated the potential of infrared (IR) microspectroscopy for the diagnosis of steatosis, one of the most important factors affecting the liver allograft function. Vibrational microspectroscopy, such as Fourier transform infrared microspectroscopy (FTIR), allows detecting spectral characteristics associated with different molecular components present in the biological sample, both qualitatively and quantitatively. Our first working hypothesis was that the progression of liver steatosis corresponds not only to the accumulation of lipids but also to dramatic changes in the qualitative composition of tissue. Indeed, a lower grade of steatosis showed a decrease in glycogen content and concomitant increase in lipids in comparison with normal liver. Intermediate steatosis exhibited an increase in glycogen and major changes in lipids, with a significant contribution of esterified fatty acids with elongated carbon chains and unsaturated lipids, and these features were more pronounced in a high grade of steatosis. Furthermore, we have shown, that FTIR approach allows a systemic discrimination of morphological features, leading to a separate investigation of steatotic vesicles and the non-steatotic counterpart of the tissue. This highlighted the fact that dramatic biochemical changes occur in the non-steatotic part of the tissue also despite its normal histological aspect, suggesting that the whole tissue reflects the grade of steatosis. The second part of the thesis focused on hepatocarcinogenesis; a multistep process that is characterized in most cirrhotic livers by the progression from hyperplastic regenerative nodules to low grade dysplastic nodules (LGDN), high grade dysplastic nodules (HGDN) and finally small HCC which corresponds either to vaguely nodular well differentiated HCC so called early HCC or to distinctly nodular moderately differentiated hepatocellular carcinomas. Since the differential diagnosis between precancerous dysplastic nodules and early HCC remains extremely difficult, we addressed the potential of FTIR microspectroscopy for grading cirrhotic nodules. The study was focused on 39 surgical specimens including normal livers as controls, dysplastic nodules, early HCC and the progressed HCC. Profound alterations of the biochemical composition of the pathological liver were demonstrated by FTIR microspectroscopy. Indeed, dramatic changes were observed in lipids, proteins and sugars highlighting the metabolic reprogramming in carcinogenesis. The major changes were observed in the frequency domain 950-1480 cm-1 in which several bands allowed significant discrimination of cirrhotic nodules, dysplastic lesions and HCC. Finally, a significant discrimination between benign, dysplastic nodules and early HCC remained possible using a FTIR microscope equipped with a laboratory-based infrared source that can be easily implemented in hospital environment. In conclusion, our study positions FTIR microspectroscopy as a versatile and powerful approach for investigating liver diseases, such as steatosis, dysplastic lesions and cancer. Further studies on larger series of patients as well as on biopsies will allow confirming the clinical reliability of such spectral signatures. Therefore, we anticipate that FTIR microspectroscopy will open new avenue in clinical diagnosis
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Wang, Liqun. "Infrared attenuated total reflection spectroscopy for monitoring biological systems." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/33998.

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Mid-infrared (MIR) spectroscopy has been recognized as an important analytical technique, and is widely applied for qualitative and quantitative analysis of materials with an increasing interest in addressing complex organic or biologic constituents. In the presented thesis, (a) the fundamental principles for IR spectroscopic applications via in vivo catheters in combination with multivariate data analysis technique were developed, and (b) the combination with a second analytical technique ¨C scanning electrochemical microscopy (SECM) - for enhancing the information obtained at complex or frequently changing matrices was demonstrated. The first part of this thesis focused on the combination of different MIR measurment techniques with specific focus on evanescent field absorption spectroscopy along with multivariate data analysis methods, for the discrimination of atherosclerotic and normal rabbit aorta tissues. Atherosclerotic and normal rabbit aorta tissues are characterized by marked differences in chemical composition governed by their water, lipid, and protein content. Strongly overlapping infrared absorption features of the different constituents and the complexity of the tissue matrix render the direct evaluation of molecular spectroscopic characteristics obtained from IR measurements challenging for classification. We have successfully applied multivariate data analysis and classification techniques based on principal component analysis (PCA), partial least squares regression (PLS), and linear discriminant analysis (LDA) to IR spectroscopic data obtained by infrared attenuated total reflectance (IR-ATR) measurements, reflection IR microscopy, and a recently developed IR-ATR catheter prototype for future in vivo diagnostic applications. Training and test data were collected ex vivo at atherosclerotic and normal rabbit aorta samples. The successful classification results at atherosclerotic and normal aorta samples utilizing the developed data evaluation routines reveals the potential of IR spectroscopy combined with multivariate classification strategies for in vitro, and ¨C in future - in vivo applications. The second part of this thesis aimed at the development of a novel multifunctional analytical platform by combining SECM with single-bounce IR-ATR spectroscopy for in situ studies of electrochemically active or electrochemically induced processes at the IR waveguide surface via simultaneous evanescent field absorption spectroscopy. The utility of the developed SECM-IR-ATR platform was demonstrated by spectroscopically monitoring microstructured polymer depositions induced via feedback mode SECM experiments using a 25μm Pt disk ultramicroelectrode (UME). The surface of a ZnSe ATR crystal was coated with a thin layer of 2,5-di-(2-thienyl)-pyrrole (SNS), which was then polymerized in a Ru(bpy) ₃ ² ⁺-mediated feedback mode SECM experiment. The polymerization reaction was simultaneously spectroscopically monitored by recording the absorption intensity changes of specific IR bands characteristic for SNS, thereby providing information on the polymerization progress, mechanism, and level of surface modification. Furthermore, a novel current-independent approach mechanism for positioning the UME in aqueous electrolyte solution was demonstrated by monitoring IR absorption changes of borosilicate glass (BSG) shielding the UME, and of water within the penetration depth of the evanescent field.
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Shi, Yangyu. "Infrared Imaging Decision Aid Tools for Diagnosis of Necrotizing Enterocolitis." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40714.

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Neonatal necrotizing enterocolitis (NEC) is one of the most severe digestive tract emergencies in neonates, involving bowel edema, hemorrhage, and necrosis, and can lead to serious complications including death. Since it is difficult to diagnose early, the morbidity and mortality rates are high due to severe complications in later stages of NEC and thus early detection is key to the treatment of NEC. In this thesis, a novel automatic image acquisition and analysis system combining a color and depth (RGB-D) sensor with an infrared (IR) camera is proposed for NEC diagnosis. A design for sensors configuration and a data acquisition process are introduced. A calibration method between the three cameras is described which aims to ensure frames synchronization and observation consistency among the color, depth, and IR images. Subsequently, complete segmentation procedures based on the original color, depth, and IR information are proposed to automatically separate the human body from the background, remove other interfering items, identify feature points on the human body joints, distinguish the human torso and limbs, and extract the abdominal region of interest. Finally, first-order statistical analysis is performed on thermal data collected over the entire extracted abdominal region to compare differences in thermal data distribution between different patient groups. Experimental validation in a real clinical environment is reported and shows encouraging results.
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Aning, Jonathan. "Critique of fourier transform infrared microspectroscopy applications to prostate pathology diagnosis." Thesis, Cranfield University, 2010. http://dspace.lib.cranfield.ac.uk/handle/1826/5626.

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Prostate cancer is a biologically heterogenous disease with considerable variation in clinical aggressiveness. Gleason grade, the universally accepted method for classification of prostate cancer, is subjective and gives limited predictive information regarding prostate cancer progression. There is a clinical need for an objective, reliable tool to help pathologists improve current prostate tissue analysis methods and better assess the malignant potential of prostate tumours. Fourier Transform Infrared (FTIR) microspectroscopy is a powerful bioanalytical technique that uses infrared light to interrogate biological tissue. The studies detailed in this thesis examine the ability of FTIR combined with multivariate analysis to discriminate between benign, premalignant and malignant prostate pathology in snap frozen, paraffinated and deparaffinated tissue. Prostate tissue was collected during and after urological procedures performed between 2005 and 2008. The tissue was analysed utilising a bench top FTIR system in point and image mapping modes. The histology under interrogation was identified by a uro- pathologist. Multivariate analysis was applied to the spectral dataset obtained. FTIR performance was evaluated. FTIR was able to reproducibly discriminate between benign and malignant prostate tissue in a pilot study. Cross validated diagnostic algorithms, constructed from the spectral dataset in this experiment, achieved sensitivities and specificities of 95% and 89% respectively. FTIR analysis of transverse paraffinated and deparaffinated radical prostatectomy sections achieved good differentiation of the benign, premalignant and malignant pathology groups. However the performance of diagnostic algorithms constructed from this dataset under cross validation was poor. The work in this thesis illustrates the potential of FTIR to provide an objective method to assist the pathologist in the assessment of prostate samples. The limitations of the technique and directions for future work are presented.
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Romeo, Melissa Joanne 1974. "Infrared microspectroscopy and multivariate statistics in the diagnosis of cervical cancer." Monash University, Dept. of Chemistry, 2000. http://arrow.monash.edu.au/hdl/1959.1/8788.

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Ingham, James. "Towards cancer diagnosis via tissue discrimination using various infrared spectroscopy techniques." Thesis, University of Liverpool, 2018. http://livrepository.liverpool.ac.uk/3022787/.

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One of the largest challenges within modern medicine is the increase in global cancer rates especially in western countries, which is often attributed to ageing populations, dietary and lifestyle changes. One of the fastest growing cancers within the western world is oesophageal cancer, which without reliable early diagnosis is often fatal due to the cancer spreading. It is therefore crucial for the development of reliable methods and tools for early cancer detection. This is especially important for those who are most at risk, which includes Barrett's oesophagus patients. Infrared (IR) spectroscopy techniques have been proven capable of gaining large amounts of information on the chemical composition of biological samples. This thesis therefore focuses on using a variety of IR spectroscopy techniques, including Fourier transform infrared spectroscopy (FTIR) and scanning near-field optical microscopy (SNOM) to image oesophageal samples, tissue biopsies and cell line samples. The thesis demonstrates how machine learning algorithms can be used in conjunction with FTIR to provide a quick, non-biased tissue diagnostic method, free from the issues associated with current histology techniques. As well as focusing on the processing of FTIR data, the thesis will assess the ability of an aperture SNOM to image biological samples as it is able to achieve diffraction limit breaking spatial resolutions and has to potential to give previously impossible insights.
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Sun, Yu. "SIGNAL PROCESSING FOR SHORT WAVE INFRARED (SWIR) RAMAN SPECTROSCOPY DIAGNOSIS OF CANCER." Master's thesis, Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/446864.

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Bioengineering<br>M.S.<br>Raman spectroscopy is an effective optical analysis of the biochemically specific characterization of tissues without contrast agents or exogenous dyes. Applications of Raman spectroscopy include analysis and biomarker investigation, disease diagnosis and surgical guidance. One major challenge in Raman spectroscopy is removing inherent fluorescence background present in samples to acquire Raman signatures. In some tissues, like liver, kidney and darkly pigment skin, the auto-fluorescence background is strong enough to overwhelm the Raman peaks in conventional Near-Infrared (NIR) Raman systems. Recent publications have shown that using Raman systems with excitation sources with wavelengths beyond 830 nm and short-wave infrared (SWIR) InGaAs Array detectors resulted in dramatically reduced auto-fluorescence. The unique characteristics of Raman signals collected from SWIR systems versus NIR Raman systems requires inspection of the suitability of spectral pre-processing techniques. This thesis focused on the development of spectral processing techniques at three different steps; 1) detector background & noise reduction; 2) Auto-fluorescence background subtraction; 3) detection of outlier measurements to assist statistical classification. Detector background and noise reduction was compared between two different techniques, and a direct subtraction method resulted in better performance to reduce fixed pattern noise unique to InGaAs arrays. For the aim 2, three different algorithms for fluorescence background removal were developed, and a modified polynomial fitting method was found to be most appropriate for the low signal-to-noise (SNR) spectra. Finally, local outlier factor(LOF), a multivariate statistical outlier metric, was implemented in a two-stage fashion, and shown to be effective at identifying raw measurement errors and Raman spectra outliers. The overall outcome of this thesis was the evaluation of spectral processing techniques for SWIR Raman spectroscopy systems, and the development of specific techniques to optimize data quality and best prepare spectra for statistical analysis.<br>Temple University--Theses
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Wang, Xiao Ying. "Fuzzy clustering in the analysis of Fourier transform infrared spectra for cancer diagnosis." Thesis, University of Nottingham, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442290.

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Drummond, Laurence Alexander. "Absorption spectral imaging in the mid-infrared and its application in cancer diagnosis." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/44834.

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This thesis presents work on the development of two distinct systems for the purpose of spectral imaging in the mid infrared (MIR), with particular focus on a method than can be of use in cancer diagnosis. Wavelengths are used that correspond to positions of absorbance peaks from the vibrational modes in molecules commonly found in biological tissue. Images from different wavelengths are combined to show the relative concentration of nuclei in tissue, an accepted marker of malignancy that can be seen in cancerous cells. One system, we have termed the 'digistain' system, uses a thermal source with narrow bandpass filters to select the wavelength, the other uses a pulsed tuneable quantum cascade laser (QCL) unit. Both systems show results that highlight a difference between healthy epithelium and epithelium that has entered a pre-cancerous stage. The digistain system has benefits in speed over other infrared spectral imaging systems, such as a scanning Raman system or a commercial multi-channel Fourier transform infrared (FTIR) system. Before a reliable direct comparison of the quantitative results of the digistain to histological grading of the same areas can be made, a method to identify the different tissue types that are present and mixed together must be created. The QCL system was also used for diffuse reflection imaging, with the conclusion that the differing surface roughness of the samples investigated played a larger role in creating contrast between areas of different chemical composition than did absorption.
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Books on the topic "Infrared Diagnosis"

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Zanyar, Movasaghi, and Rehman Shazza, eds. Vibrational spectroscopy for tissue analysis. CRC Press, 2013.

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Medical infrared imaging: Principles and practices. CRC Press/Taylor & Francis, 2013.

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European Conference on Biomedical Optics (2003 Munich, Germany). Diagnostic optical spectroscopy in biomedicine II: 24-25 June 2003, Munich, Germany. Edited by Wagnières Georges A, Optical Society of America, Society of Photo-optical Instrumentation Engineers., and European Physical Society. SPIE, 2003.

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International Conference on Thermal Infrared Sensing for Diagnostics and Control (1984 Cambridge, Mass.). An International Conference on Thermal Infrared Sensing for Diagnostics and Control (Thermosense VII). Edited by Kantsios Andronicos G and Society of Photo-optical Instrumentation Engineers. SPIE--The International Society for Optical Engineers, 1985.

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International, Conference on Thermal Infrared Sensing for Diagnostics and Control (1985 Cambridge Mass ). An international conference on thermal infrared sensing for diagnostics and custrol (Thermosense VIII). SPIE, 1985.

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K, Drennen James, ed. Pharmaceutical and medical applications of near-infrared spectroscopy. Marcel Dekker, 2002.

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Fidali, Marek. Metodyka termograficznej diagnostyki obiektów technicznych: Methodology of thermographical diagnostics of technical objects. Wydawnictwo Naukowe Instytutu Technologii Eksploatacji, 2013.

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International Conference on Thermal Infrared Sensing for Diagnostics and Control. (1994 Orlando, Florida). Thermosense XVI: An International Conference on Thermal Sensing and Imaging Diagnostic Applications : 6-8 April, 1994, Orlando, Florida. Edited by Snell John R and Society of Photo-optical Instrumentation Engineers. SPIE--the International Society for Optical Engineering, 1994.

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International Conference on Thermal Infrared Sensing for Diagnostics and Control (1984 Cambridge, Mass.). An International Conference on Thermal Infrared Sensing for Diagnostics and Control (Thermosense VII): November 5-8, 1984, Cambridge, Massachusetts. Edited by Kantsios Andronicos G, United States. Dept. of Energy. Office of Building Energy Research and Development., and Society of Photo-optical Instrumentation Engineers. SPIE--the International Society for Optical Engineering, 1985.

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T, Papazoglou, Wagnières Georges A, Optical Society of America, Society of Photo-optical Instrumentation Engineers., and Deutsche Gesellschaft für Lasermedizin, eds. Diagnostic optical spectroscopy in biomedicine: 19-21 June 2001, Munich, Germany. SPIE, 2001.

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Book chapters on the topic "Infrared Diagnosis"

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Wei, Chao, Yang Liu, Yifan Bie, et al. "The Fault Diagnosis of Infrared Bushing Images Based on Infrared Thermography." In Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9783-7_66.

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Ismail, Enas, and Arcangelo Merla. "Modeling Thermal Infrared Imaging Data for Differential Diagnosis." In Application of Infrared to Biomedical Sciences. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3147-2_27.

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Liu, Guofeng, Jianhui Sheng, and Yanli Zhao. "In Vivo Near-Infrared Fluorescence Imaging." In Nanotechnology Characterization Tools for Biosensing and Medical Diagnosis. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-56333-5_2.

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Resmini, Roger, Aura Conci, Lincoln Faria da Silva, et al. "Application of Infrared Images to Diagnosis and Modeling of Breast." In Application of Infrared to Biomedical Sciences. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3147-2_10.

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Kim, Won Tae, Man Yong Choi, and Jung Hak Park. "Diagnosis of Defect Points in Materials Using Infrared Thermography." In Key Engineering Materials. Trans Tech Publications Ltd., 2005. http://dx.doi.org/10.4028/0-87849-978-4.2169.

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Seo, Min Won, Hee Kyung Yang, Jeong Min Hwang, and Jong-Mo Seo. "The Automated Diagnosis of Strabismus Using an Infrared Camera." In IFMBE Proceedings. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11128-5_36.

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Bauer, Elton, Elier Pavón, Cláudio H. F. Pereira, and Matheus L. M. Nascimento. "Criteria for Identification of Ceramic Detachments in Building Facades with Infrared Thermography." In Recent Developments in Building Diagnosis Techniques. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0466-7_4.

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Guo, Yixiao, and Liqin Xiong. "In Vivo Near-Infrared Fluorescence Imaging Based on Polymer Dots." In Nanotechnology Characterization Tools for Biosensing and Medical Diagnosis. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-56333-5_13.

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Sun, Yanzhou, Xue Zhou, and Xinwei Niu. "Analysis of Electric Wire Fracture Based on Infrared Image Diagnosis." In Electrical, Information Engineering and Mechatronics 2011. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2467-2_133.

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Maroy, Katrien, Nathan Van Den Bossche, Marijke Steeman, and Sven Van De Vijver. "On the Use of Infrared Thermographic Measurements for Evaluating the Airtightness of the Building Envelope." In Recent Developments in Building Diagnosis Techniques. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0466-7_9.

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Conference papers on the topic "Infrared Diagnosis"

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Zore, Z., M. Stanec, I. F. Zore, et al. "Thermography in Breast Cancer Diagnosis." In 2012 Quantitative InfraRed Thermography. QIRT Council, 2012. http://dx.doi.org/10.21611/qirt.2012.247.

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Stodola, Jiri, Alena Breznicka, Alexej Chovanec, Danka Rakusova, Peter Liptak, and Petr Stodola. "Diagnosis engine oils utilizing infrared spectroscopy." In 2017 International Conference on Military Technologies (ICMT). IEEE, 2017. http://dx.doi.org/10.1109/miltechs.2017.7988737.

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Jayanthi, T. "Automated diagnosis of hypertension using dynamic thermography." In Quantitative InfraRed Thermography Asia 2015. QIRT Council, 2015. http://dx.doi.org/10.21611/qirt.2015.0122.

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Rymarczyk, Z., R. Rabjasz, M. Dzierzgowski, and S. Turlejski. "Application of thermography for diagnosis of central heating elements." In 2000 Quantitative InfraRed Thermography. QIRT Council, 2000. http://dx.doi.org/10.21611/qirt.2000.027.

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Kaczmarek, M. "ADT in the diagnosis of atopic dermatitis - preliminary tests." In 2020 Quantitative InfraRed Thermography. QIRT Council, 2020. http://dx.doi.org/10.21611/qirt.2020.106.

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Laib dit Leksir, Y., S. Bouhouche, and M. S. Bouchrit. "Automatic Diagnosis of Iron and steel Equipment using Infrared Thermography." In 2012 Quantitative InfraRed Thermography. QIRT Council, 2012. http://dx.doi.org/10.21611/qirt.2012.113.

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Cornak, Stefan. "Diagnosis of fuels with infrared spectroscopy utilization." In 18th International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, 2019. http://dx.doi.org/10.22616/erdev2019.18.n210.

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Sirieix, C., L. Rouvreau, L. Bertrand, M. Frappa, and C. Bloquet. "Diagnosis of waste landfills by infrared thermography." In 4th EEGS Meeting. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201407064.

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Seddon, A. B. "Mid-infrared photonics for early cancer diagnosis." In 2014 16th International Conference on Transparent Optical Networks (ICTON). IEEE, 2014. http://dx.doi.org/10.1109/icton.2014.6876433.

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Ashok, Lekshmy, and S. Sivanandam. "Diagnosis of thyroid disorder using infrared thermography." In 2017 International Conference of Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2017. http://dx.doi.org/10.1109/iceca.2017.8203718.

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Reports on the topic "Infrared Diagnosis"

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Luhmann, N. C. Jr, and W. A. Peebles. Far infrared fusion plasma diagnostics. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/7011189.

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Darrow, D. S., and H. K. Park. A dual far-infrared laser diagnostic of magnetized plasmas. Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/7246902.

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D. Mastrovito, R. Maingi, H.W. Kugel, and A.L. Roquemore. Infrared Camera Diagnostic for Heat Flux Measurements on NSTX. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/813610.

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Medley, S. S., D. L. Dimock, S. Hayes, et al. Periscope-camera system for visible and infrared imaging diagnostics on TFTR. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/5508800.

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Luhmann, N. C. Jr, and W. A. Peebles. Far infrared fusion plasma diagnostics. Task 3A, Progress report, FY 1990. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/10189021.

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Mansfield, D. K., M. Vocaturo, L. Guttadora, M. Rockmore, K. Micai, and P. A. Krug. A Stark-tuned, far-infrared laser for high frequency plasma diagnostics. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10131437.

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Mansfield, D. K., M. Vocaturo, L. Guttadora, M. Rockmore, K. Micai, and P. A. Krug. A Stark-tuned, far-infrared laser for high frequency plasma diagnostics. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/5656208.

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Wormhoudt, Joda. Spectrally Analyzed Embedded Infrared Fiber Optic Diagnostic of Advanced Composite Propellant Combustion. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada422571.

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Wang, Xinwei. Novel Infiltration Diagnostics based on Laser-line Scanning and Infrared Temperature Field Imaging. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1411861.

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Cass, Julie. Simulations and Analysis of an Infrared Prism Spectrometer for Ultra-short Bunch Length Diagnostics at the Linac Coherent Light Source. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1049729.

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