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. 2020 Sep 14:2020:6219845.
doi: 10.1155/2020/6219845. eCollection 2020.

Application of Multispectral Imaging in the Human Tympanic Membrane

Affiliations

Application of Multispectral Imaging in the Human Tympanic Membrane

Tien Tran Van et al. J Healthc Eng. .

Abstract

Multispectral imaging has recently shown good performance in determining information about physiology, morphology, and composition of tissue. In the endoscopy field, many researches have shown the ability to apply multispectral or narrow-band images in surveying vascular structure based on the interaction of light wavelength with tissue composition. However, there has been no mention to assess the contrast between other components in the middle ear such as the tympanic membrane, malleus, and the surrounding area. Using CT, OCT, or ODT can clearly describe the tympanic membrane structure; nevertheless, these approaches are expensive, more complex, and time-consuming and are not suitable for most common middle ear diagnoses. Here, we show the potential of using the multispectral imaging technique to enhance the contrast of the tympanic membrane compared to the surrounding tissue. The optical absorption and scattering of biological tissues constituents are not the same at different wavelengths. In this pilot study, multiwavelength images of the tympanic membrane were captured by using the otoscope with LED light source at three distinct spectral regions: 450 nm, 530 nm, and 630 nm. Subsequently, analyses of the intensity images as well as the histogram of these images point out that the 630 nm illumination image features an evident contrast in the intensity of the tympanic membrane and malleus compared to the surrounding area. Analysis of such images could facilitate the boundary determination and segmentation of the tympanic membrane (TM) with high precision.

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Conflict of interest statement

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Figures

Figure 1
Figure 1
The endoscope model: LS: LED light source and control; R: rigid endoscope; CM: optical C mount coupler; CCD: Color CCD camera; FO: fiber optic cable.
Figure 2
Figure 2
The white image of normal right eardrum was captured using endoscope. 1: TM (orange circle). 2: handle of malleus. 3: pars flaccida. 4: pars of tensa. 5: umbo. 6: cone of light. 7: blood vessel. 8: wall of meatus.
Figure 3
Figure 3
A normal right eardrum: (a) white image, (b) red image, (c) green image, (d) blue image, and (e–h) grayscale images of (a), (b), (c), and (d). (a) White image. (b) Red image. (c) Green image. (d) Blue image. (e) White grayscale image. (f) Red grayscale image. (g) Green grayscale image. (h) Blue grayscale image.
Figure 4
Figure 4
Comparison of intensity images and region histograms obtained with the multispectral imaging on the tympanic membrane shown in Figure 3. (a–d) show the intensity image of white, red, green, and blue image. (e–h) show the region histograms of J white, J red, J green, and J blue image, respectively.
Figure 5
Figure 5
Comparison of the line histogram corresponding to the J white, J red, J green, and J blue image shown in Figure 4. (a–d) the horizontal histogram; (e–h) the vertical histogram.
Figure 6
Figure 6
Results of segmentation of the tympanic membrane: (a, e) white, (b, f) red, (c, g) green, and (d, h) blue. Green color is the results of algorithm, pink color is ground truth, and white color is the overlapping.
Figure 7
Figure 7
Average metric values of segmentation results of tympanic membrane: (a) Dice value and (b) max HD.

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