Multimodal near infrared spectral imaging as an exploratory tool for dysplastic esophageal lesion identification

Abstract

We explore nine different combinations of fluorescence, light scattering, and polarization spectral imaging approaches in the near-infrare spectral region toward the diagnosis of pathologic and normal esophageal lesions. The combinations of all the imaging techniques were evaluated for maximal sensitivity and specificity. The results suggest that this multimodal approach is capable of highly accurate detection of the presence of pathologic tissue.

Characterization of pediatric Wilms' tumor using Raman and fluorescence spectroscopies

“…These UV-blue wavelengths are quickly absorbed in tissue, and for this reason, a growing number of studies use red-shifted excitation wavelengths for their increased penetration depth in tissue [9,10]. Although the fluorophores in this near-infrared region (approximately 600-1000 nm) are not as well characterized as they are in the UV visible spectrum, bioconstituents such as porphyrins and flavins have been indicated as likely candidates [8].…”

Diffuse reflectance spectroscopy in Barrett’s Esophagus: developing a large field‐of‐view screening method discriminating dysplasia from metaplasia

“…Whereas conventional endoscopy is limited to detecting lesions based on gross morphological changes, several novel optically based technologies offer the potential of detecting the very earliest mucosal changes. Spectral techniques, particularly fluorescence [7,8] and narrow-band imaging [9], optical coherence tomography [10,11] laser scattering spectroscopy [12], Raman spectroscopy [13], microendoscopy [14], chromoendoscopy [15,16], chromomicroendoscopy [17] and infrared endoscopy [18] have all been investigated, with variable results. The spectral techniques are currently limited to pointby-point sampling only.…”

Fusion for visible and infrared images using visual weight analysis and bilateral filter-based multi scale decomposition

“…People make effort in this research to combine feature information from two or more source images, which sometimes are captured by different sensors [1,2]. Visible image (VI) usually contains abundant object details.…”