Hyperspectral imaging-based wound analysis using mixture-tuned matched filtering classification method

Abstract

Hyperspectral imaging is a technology that is beginning to occupy an important place in medical research with good prospects in future clinical applications. We evaluated the role of hyperspectral imaging in association with a mixture-tuned matched filtering method in the characterization of open wounds. The methodology and the processing steps of the hyperspectral image that have been performed in order to obtain the most useful information about the wound are described in detail. Correlations between the hyperspectral image and clinical examination are described, leading to a pattern that permits relative evaluation of the square area of the wound and its different components in comparison with the surrounding normal skin. Our results showed that the described method can identify different types of tissues that are present in the wounded area and can objectively measure their respective abundance, which proves its value in wound characterization. In conclusion, the method that was described in this preliminary case presentation shows promising results, but needs further evaluation in order to become a reliable and useful tool.

Improving the Reliability of Mixture Tuned Matched Filtering Remote Sensing Classification Results Using Supervised Learning Algorithms and Cross-Validation

“…Published studies have mentioned this aspect of MTMF in passing, noting that optimal infeasibility value thresholds were determined "interactively", "iteratively", or "manually" via an MF versus infeasibility value scatterplot ( Figure 2; [13][14][15]). Such approaches have even been used outside of remote sensing applications of MTMF [16]. An artificial example of such a scatterplot is shown in Figure 2, where the shaded region (2b) denotes ground reference plots whose MF values alone theoretically make them likely matches to the target endmember.…”

In vivo monitoring of rashes caused by systemic lupus erythematosus disease using snapshot spectral imaging

“…Imaging spectroscopy has been widely applied in the field of biomedicine. An array of skin characteristics have been reported, including the optical propagation model [10,11], wound analysis [12], the mapping of skin chromophores [13][14][15][16], melanoma diagnosis [17,18] and edema characteristics [19]. Imaging spectroscopy is a potential tool to monitor cutaneous changes of SLE.…”

Bimodal reflectance and fluorescence multispectral endoscopy based on spectrally resolving detector arrays

“…Methods with a finer sampling of the spectral response, such as multi-or hyperspectral imaging (MSI/HSI) systems (≈10 and 100 spectral color channels, respectively), 12,13 may enable quantitative assessment of functional tissue properties and more detailed statistical classification of the spectral changes that occur during disease. The use of reflectance-based MSI/HSI systems in biomedical applications has, for example, been shown to increase contrast in vascular conditions, 14 wound healing, [15][16][17] ophthalmology, 15,18,19 cancer diagnostics, 12,[20][21][22][23] and for the determination of tumor resection margins. 24 The application of a targeted fluorescent contrast agent is often referred to as optical molecular imaging (OMI) and has shown promise for endoscopic cancer detection in the GI tract.…”