2012
DOI: 10.1111/j.1600-0846.2012.00622.x
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Detection and visualization of intracutaneous allergic type‐specific elements using long‐wavelength near‐infrared hyperspectral imaging

Abstract: These results suggest a possible application of near-infrared spectral imaging to the assessment of allergic dermatitis.

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Cited by 10 publications
(8 citation statements)
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“…[ 22 ] Nishino et al used HSI in the infrared from 1000 to 2400 nm to develop a spectral‐based classifier that could distinguish between normal skin, type I urticarial reactions and type IV hypersensitivity reactions. [ 20 ]…”
Section: Discussionmentioning
confidence: 99%
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“…[ 22 ] Nishino et al used HSI in the infrared from 1000 to 2400 nm to develop a spectral‐based classifier that could distinguish between normal skin, type I urticarial reactions and type IV hypersensitivity reactions. [ 20 ]…”
Section: Discussionmentioning
confidence: 99%
“…[22] Nishino et al used HSI in the infrared from 1000 to 2400 nm to develop a spectral-based classifier that could distinguish between normal skin, type I urticarial reactions and type IV hypersensitivity reactions. [20] The core notion of the presented work is to approach a common skin condition in a more mechanistic way guided by an understanding of the pathophysiology behind the disease with an imaging tool. An important distinction of our approach is to generate enhanced visual contrast by identification of specific wavelengths with which to generate high contrast pseudo-RGB images and our ability to quantify the relative increase in lesional tissue fluid accumulation compared to background unaffected skin.…”
Section: Discussionmentioning
confidence: 99%
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“…35 Several reports used the Nuance EX system coupled with additional halogen lamps and a polarizing film on the lens 67,38,59 or with a single halogen lamp at 45 deg/0 deg geometry. 44 Nishino et al 44 used the VIS HSI only for visualization purposes, while simultaneously using an NIR line-scan camera for data collection. Randeberg et al 33 used the VNIR camera and illuminated the scene with two halogen lamps, with sandblasting to reduce specular reflectance.…”
Section: Commercial Systemsmentioning
confidence: 99%
“…Liu et al 45 used PCA to reduce HSI data to a 28-point space, before additional reduction with multiclass LDA. Nishino et al 44 employed a flavor of multiclass LDA that is based on canonical coordinates and canonical discriminant analysis (CDA) for NIR spectra.…”
Section: Feature Extractionmentioning
confidence: 99%