Assessing Foot Temperature Using Infrared Thermography

Sun, Pi-Chang; Jao, Shyh-Hua; Cheng, Cheng‐Kung

doi:10.1177/107110070502601010

Cited by 55 publications

(39 citation statements)

References 21 publications

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“…Using LC thermography, Chan et al (Chan et al, 1991) designated temperature distribution in normal subjects as a "symmetrical butterfly pattern" in which the medial arch showed the highest temperature as reported by Sun et al (Sun et al, 2005;Sun et al, 2006). However, Stess et al (Stess et al, 1986) indicated that such a typical symmetrical pattern was observed in only nine out of the 16 normal subjects (56%).…”

Section: Use Of Thermography For Assessing Diabetic Foot: Unsolved Prmentioning

confidence: 88%

“…Temperatures of several anatomical landmark points or areas were measured and analyzed in such papers. For example, Sun et al (Sun et al, 2005;Sun et al, 2006) indicated that the temperature of the medial plantar arch was the highest and that of the lesser toes was the lowest in the normal and in some of the DM population. We consider, however, that this type of measurement can be accomplished also by the conventional thermometry, as Armstrong et al and Lavery et al (Lavery et al, 2004;Lavery et al, 2007) did in the clinical settings.…”

Section: Use Of Thermography For Assessing Diabetic Foot: Unsolved Prmentioning

confidence: 99%

“…It has been already known that chronic temperature elevation may be observed in the neuropathic diabetic feet, mainly due to increased arteriovenous (A-V) shunt flow (Brem et www.intechopen.com al., 2006;Chan et al, 1991;Flynn & Tooke, 1995;Sun et al, 2005;Sun et al, 2008). Chronic temperature decrease implies association of PAD (Benbow et al, 1994;Brem et al, 2006).…”

Section: Thermometry Of Diabetic Foot: An Overviewmentioning

confidence: 99%

“…Thermography can estimate circulation and vascular patency by visualizing temperature distribution (Bharara et al, 2006;Nagase et al, 1996), and thus, it may be a potentially ideal tool for assessing inflammation and vascular stenosis of diabetic foot. We are using infrared (IR) thermography Nishide et al, 2009), which were also used in some of the abovementioned studies of diabetic foot thermometry (Sun et al, 2005;Sun et al, 2008;Sun et al, 2006) and in the more recent report evaluating healing tendency of the diabetic foot ulcer (Bharara et al, 2010). Liquid crystal (LC) thermography was conventionally used in the papers published in 1980's and 90's (Benbow et al, 1994;Chan et al, 1991;Stess et al, 1986).…”

Section: Use Of Thermography For Assessing Diabetic Foot: Unsolved Prmentioning

confidence: 99%

See 3 more Smart Citations

Screening of Foot Inflammation in Diabetic Patients by Non-Invasive Imaging Modalities

Nagase¹,

Sanada²,

Oe³

et al. 2011

Global Perspective on Diabetic Foot Ulcerations

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Section: Use Of Thermography For Assessing Diabetic Foot: Unsolved Prmentioning

confidence: 88%

Section: Use Of Thermography For Assessing Diabetic Foot: Unsolved Prmentioning

confidence: 99%

Section: Thermometry Of Diabetic Foot: An Overviewmentioning

confidence: 99%

Section: Use Of Thermography For Assessing Diabetic Foot: Unsolved Prmentioning

confidence: 99%

See 2 more Smart Citations

Screening of Foot Inflammation in Diabetic Patients by Non-Invasive Imaging Modalities

Nagase¹,

Sanada²,

Oe³

et al. 2011

Global Perspective on Diabetic Foot Ulcerations

View full text Add to dashboard Cite

“…In ischemic conditions, where blood perfusion may be [100] 2013 1b 1 ---Mori et al [101] 2013 3b 1 ---Najafi et al [102] 2012 2b 1 ---Barriga et al [103] 2012 2b 1 ---Balbinot et al [63] 2012 1b 2 -81.3 46.2 Nagase et al [61] 2011 1b 1 ---Bagavathiappan et al [104] 2010 2b 1 ---Kaabouch et al [105] 2009 3b ----Lavery et al [106] 2007 1a 1 ---Sun et al [107] 2006 2a 1 ---Armstrong et al [108] 2006 3b 1 ---Bharara et al [109] 2006 1b 1 ---Marcinkowska-Gapińska and Kowal [110] 2006 2a 1 ---Sun et al [111] 2005 2a 1 ---Armstrong et al [112] 2003 1b 1 ---Jiang et al [113] 2002 2a 1 ---Fujiwara et al [114] 2000 2a 1 ---Hosaki et al [115] 1999 2b ---Armstrong et al [116] 1997 1b 1 ---Benbow et al [62] 1994 1b 1 ---Stess et al [117] 1986 2a 1 ---Fushimi et al [118] 1985 3b 1 ---Sandrow et al [119] 1972 2-----Brånemark et al [120] 1967 1a ----reduced, especially at the periphery of the human body and limbs (hands and feet), these temperature pattern change [95]. Diabetic foot complications are expensive and they reduce the quality of life for many patients [96].…”

Section: Diabetesmentioning

confidence: 99%

Application of infrared thermography in computer aided diagnosis

Faust

Acharya

et al. 2014

Infrared Physics & Technology

100

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The invention of thermography, in the 1950s, posed a formidable problem to the research community: What is the relationship between disease and heat radiation captured with Infrared (IR) cameras? The research community responded with a continuous effort to find this crucial relationship. This effort was aided by advances in processing techniques, improved sensitivity and spatial resolution of thermal sensors. However, despite this progress fundamental issues with this imaging modality still remain. The main problem is that the link between disease and heat radiation is complex and in many cases even nonlinear. Furthermore, the change in heat radiation as well as the change in radiation pattern, which indicate disease, is minute. On a technical level, this poses high requirements on image capturing and processing. On a more abstract level, these problems lead to inter-observer variability and on an even more abstract level they lead to a lack of trust in this imaging modality. In this review, we adopt the position that these problems can only be solved through a strict application of scientific principles and objective performance assessment. Computing machinery is inherently objective; this helps us to apply scientific principles in a transparent way and to assess the performance results. As a consequence, we aim to promote thermography based ComputerAided Diagnosis (CAD) systems. Another benefit of CAD systems comes from the fact that the diagnostic accuracy is linked to the capability of the computing machinery and, in general, computers become ever more potent. We predict that a pervasive application of computers and networking technology in medicine will help us to overcome the shortcomings of any single imaging modality and this will pave the way for integrated health care systems which maximize the quality of patient care.

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An overview of current developments and methods for identifying diabetic foot ulcers: A survey

Anbarasi,

Jawahar,

Jayakumari

et al. 2024

WIREs Data Min & Knowl

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Diabetic foot ulcers (DFUs) present a substantial health risk across diverse age groups, creating challenges for healthcare professionals in the accurate classification and grading. DFU plays a crucial role in automated health monitoring and diagnosis systems, where the integration of medical imaging, computer vision, statistical analysis, and gait information is essential for comprehensive understanding and effective management. Diagnosing DFU is imperative, as it plays a major role in the processes of diagnosis, treatment planning, and neuropathy research within automated health monitoring and diagnosis systems. To address this, various machine learning and deep learning‐based methodologies have emerged in the literature to support healthcare practitioners in achieving improved diagnostic analyses for DFU. This survey paper investigates various diagnostic methodologies for DFU, spanning traditional statistical approaches to cutting‐edge deep learning techniques. It systematically reviews key stages involved in diabetic foot ulcer classification (DFUC) methods, including preprocessing, feature extraction, and classification, explaining their benefits and drawbacks. The investigation extends to exploring state‐of‐the‐art convolutional neural network models tailored for DFUC, involving extensive experiments with data augmentation and transfer learning methods. The overview also outlines datasets commonly employed for evaluating DFUC methodologies. Recognizing that neuropathy and reduced blood flow in the lower limbs might be caused by atherosclerotic blood vessels, this paper provides recommendations to researchers and practitioners involved in routine medical therapy to prevent substantial complications. Apart from reviewing prior literature, this survey aims to influence the future of DFU diagnostics by outlining prospective research directions, particularly in the domains of personalized and intelligent healthcare. Finally, this overview is to contribute to the continual evolution of DFU diagnosis in order to provide more effective and customized medical care.This article is categorized under: Application Areas > Health Care Technologies > Machine Learning Technologies > Artificial Intelligence

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Assessing Foot Temperature Using Infrared Thermography

Cited by 55 publications

References 21 publications

Screening of Foot Inflammation in Diabetic Patients by Non-Invasive Imaging Modalities

Screening of Foot Inflammation in Diabetic Patients by Non-Invasive Imaging Modalities

Application of infrared thermography in computer aided diagnosis

An overview of current developments and methods for identifying diabetic foot ulcers: A survey

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