Hyperspectral image processing for detection and grading of skin erythema

Madooei, Ali; Abdlaty, Ramy; Doerwald-Munoz, Lilian; Hayward, Joseph E.; Drew, Mark S.; Fang, Qiyin; Zerubia, Josiane

doi:10.1117/12.2254132

Cited by 17 publications

(18 citation statements)

References 16 publications

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“…This technology allows the user to select specific wavelength to assess the presence of melanin and haemoglobin, as well as performing nCDA of the overall dark circle area. 17 Some published articles have already highlighted the benefit of this technique to assess skin colour, 18 and even more specifically, skin pigment, 19 erythema, 20 melanin, total haemoglobin and oxygen saturation in dark circles. 21 The multispectral analysis performed in this research showed a higher melanin index that suggests hyperpigmentation, and a higher haemoglobin index that supports the hypothesis of blood vessel dilation in the dark circles area.…”

Section: Discussionmentioning

confidence: 99%

<p>Identification Of Three Key Factors Contributing To The Aetiology Of Dark Circles By Clinical And Instrumental Assessments Of The Infraorbital Region</p>

Mac-Mary¹,

Solinis

Predine³

et al. 2019

CCID

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Background: The aetiology of infraorbital dark circles is complex and multi-factorial. The aim of this research was to measure and characterize dark circles and to determine the physiological changes associated with the occurrence of this aesthetically unpleasing issue. Materials and methods: Clinical, photographic and instrumental assessments were performed on Caucasian skin to determine the most appropriate methodologies to measure dark circles, comparing different zones of the infraorbital region in subjects with and without dark circles. Exploratory studies were also carried out on African and Far East Asian skin, as well as on tracking the natural variation of dark circles over seven days in Caucasian subjects. Results: Under-eye dark circles in Caucasian subjects are characterized by significantly darker coloured skin and higher colour deviations between the dark circle region and surrounding areas of skin. Multispectral image analysis produced a higher melanin index in subjects with dark circles, suggesting hyperpigmentation in the affected area, in addition to a higher haemoglobin index. The higher haemoglobin index, combined with preliminary assessments of the vascular network by videocapillaroscopy, suggests there may be more dilated, thicker or increased numbers of capillaries in subjects with dark circles. Ultrasound analysis showed a significant difference in skin thickness between the two groups of subjects linking the appearance of dark circles to thinner skin under the eye. Many of these trends were also observed in African and Far East Asian skin. The results also showed intra-individual, intra-day and inter-day variability of dark circle intensity in subjects with Caucasian skin. Conclusion: Three key physiological factors associated with the occurrence of infraorbital dark circles are hyperpigmentation, a tendency for more dilated, thicker or increased number of capillaries and thinner skin in the under-eye area. The combination of these three factors provides a robust indication of the presence of infraorbital dark circles.

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Section: Discussionmentioning

confidence: 99%

<p>Identification Of Three Key Factors Contributing To The Aetiology Of Dark Circles By Clinical And Instrumental Assessments Of The Infraorbital Region</p>

Mac-Mary¹,

Solinis

Predine³

et al. 2019

CCID

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“…[32,33] The Visual Assessment (VA) declares the erythema regions through the X-OR correlation to produce the corrected images. [34] The performance evaluation was analyzed by the contradiction of colored digitalized images Red-Green-Blue (RGB) pigments. The [6] Hyper Spectral Images (HSI) and the RGB pigments are analyzed and classified via the smoothing of images by a low pass filter called Savitzky-Golay and the results are compared with colored images.…”

Section: Erythema Migransmentioning

confidence: 99%

Survey on Erythema Migrans, and Basal Cell Carcinoma in Computer-Aided Diagnosis

Radhakrishnan

Sudalaimuthu

Dhanalakshmi³

2021

Advances in Parallel Computing Technologies and Applications

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Lyme disease appears by various means one of the causes is infection from a bite of a black-legged tick which leads to the formation of a rash called Erythema Migrans (EM). This Lyme disease is the direct root of skin cancer and the primary phase is known as Basal Cell Carcinoma (BCC). Skin cancer causes pathological situations it integument the body’s surfaces, including skin, hair, nails, and associated glands. Identifying EM and BCC in biomedical representation is a common platform known as biopsies and many works are done in the traditional methodology. But early detection of EM and BCC in the field of medical imaging using computer-aided diagnosis provides more accuracy and rapidity. This survey is classified under two categories; the first is EM detection and the second is the segmentation of BCC. The circumstances of this review are under the base of different algorithms, various methods used by the non-medicals appliance are discussed and compared by the several measures taken by increasing the parameters to improve the accuracy levels.

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“…This combination produces a three-dimensional data format. 18,19 This data includes two-dimensional spatial information along a third spectral dimension to form a datacube. The datacube's spatial information is contained in an image of the object, and its spectral information is included in capturing the same image using a sequence of spectral bands.…”

Section: Introductionmentioning

confidence: 99%

Innovative technique for analysis of wastewater contaminants using hyperspectral imaging

Abdlaty

Gobara

Naiem

et al. 2020

J. Spectral Imaging

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Accurate, fast, quantitative on-site analysis of wastewater is an environmental necessity. Therefore, we report a quantitative spectroscopic study in order to analyse organic contaminants in wastewater. For this purpose, two spectroscopy-based techniques were utilised and their results are compared. The first technique is ultraviolet/visible (UV/vis) spectrophotometry. This technique is a standard laboratory technique, however, it is inappropriate for working in the field. Besides, the analysis results of the standard laboratory technique display low accuracy in detecting small concentrations of wastewater contaminants such as methylene blue (< 20 ppm). Accordingly, there is a need for another technique to overcome the shortcomings of UV/vis spectrophotometry. Hyperspectral imaging (HSI) combines imaging and spectrometry. HSI works on-site since it is portable and easy to operate. The analysis of the data acquired by HSI showed a higher efficacy in accurately detecting both low (< 20 ppm) and high concentrations (> 50 ppm) of water contaminants such as methylene blue and methyl orange. For verification, Pearson correlation coefficients were computed between the concentration of contaminants and their absorbance for all the operating spectral bands. The results of the two techniques were statistically compared using Bland and Altman’s limit of agreement. This study showed that HSI is potentially a promising technique for the analysis of wastewater contaminants on-site.

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Hyperspectral image processing for detection and grading of skin erythema

Cited by 17 publications

References 16 publications

<p>Identification Of Three Key Factors Contributing To The Aetiology Of Dark Circles By Clinical And Instrumental Assessments Of The Infraorbital Region</p>

<p>Identification Of Three Key Factors Contributing To The Aetiology Of Dark Circles By Clinical And Instrumental Assessments Of The Infraorbital Region</p>

Survey on Erythema Migrans, and Basal Cell Carcinoma in Computer-Aided Diagnosis

Innovative technique for analysis of wastewater contaminants using hyperspectral imaging

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