Abstract
Multispectral imaging (MSI) enables both spatial (x, y) and spectral (wavelength, λ) information to be recorded. This allows delineation of fluorophores applied during molecular endoscopy based on their spectral properties, rather than a single intensity reading, allowing multiplexed fluorescence imaging of multiple targeted fluorophores. MSI also has the potential to image endogenous contrast due to wavelength-dependent light-tissue interactions. To address the clinical challenge of Barrett’s surveillance, a multispectral endoscope capable of acquisition of 9-band multispectral images in vivo was developed. This Chapter describes the design and validation of two alternative optical configurations of the device. The first, designed for multispectral fluorescence imaging, was demonstrated to be capable of accurately detecting fluorescent contrast agents both in well plates and in a realistic clinical scenario simulated using a whole ex vivo porcine oesophagus. The second, designed for multispectral reflectance imaging of endogenous contrast, has been applied in a first-in-human clinical trial, where the measured spectra showed promising differences between Barrett’s oesophagus and cancer tissue.
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References
Lee JH, Wang TD (2016) Molecular endoscopy for targeted imaging in the digestive tract. Lancet Gastroenterol Hepatol 1:147–155
Luthman AS, Dumitru S, Quiros-Gonzalez I, Joseph J, Bohndiek SE (2017) Fluorescence hyperspectral imaging (fHSI) using a spectrally resolved detector array. J Biophotonics 10:840–853
Luthman S, Waterhouse D, Bollepalli L, Joseph J, Bohndiek S (2017) A multispectral endoscope based on spectrally resolved detector arrays, p 104110A
Joshi BP et al (2016) Multimodal endoscope can quantify wide-field fluorescence detection of Barrett’s neoplasia. Endoscopy 48
Joshi BP et al (2016) Multimodal video colonoscope for targeted wide-field detection of nonpolypoid colorectal neoplasia. Gastroenterology 150:1084–1086
Yang C, Hou V, Nelson LY, Seibel EJ (2013) Color-matched and fluorescence-labeled esophagus phantom and its applications. J Biomed Optics 18:26020
Georgakoudi I et al (2001) Fluorescence, reflectance, and light-scattering spectroscopy for evaluating dysplasia in patients with Barrett’s esophagus. Gastroenterology 120:1620–1629
Bays R, Wagnie G, Robert D, Braichotte D (1996) Clinical determination of tissue optical properties by endoscopic spatially resolved reflectometry, vol 35
Bargo PR et al (2005) In vivo determination of optical properties of normal and tumor tissue with white light reflectance and an empirical light transport model during endoscopy. J Biomed Optics 10:1–15
Holmer C et al (2007) Optical properties of adenocarcinoma and squamous cell carcinoma of the gastroesophageal junction. J Biomed Optics 12:014025
Thueler P et al (2003) In vivo endoscopic tissue diagnostics based on spectroscopic absorption, scattering, and phase function properties. J Biomed Optics 8:495–503
Lu G, Fei B (2014) Medical hyperspectral imaging: a review. J Biomed Optics 19:10901
Calin MA, Parasca SV, Savastru D, Manea D (2014) Hyperspectral imaging in the medical field: present and future. Appl Spectrosc Rev 49:435–447
Krishnamoorthi R, Iyer PG (2015) Molecular biomarkers added to image-enhanced endoscopic imaging: will they further improve diagnostic accuracy? Best Pract Res Clin Gastroenterol 29:561–573
Fawzy Y, Lam S, Zeng H (2015) Rapid multispectral endoscopic imaging system for near real-time mapping of the mucosa blood supply in the lung. Biomed Optics Express 6:2980–2990
Kester RT, Bedard N, Gao L, Tkaczyk TS (2011) Real-time snapshot hyperspectral imaging endoscope. J Biomed Optics 16:056005
Saito T, Yamaguchi H (2015) Optical imaging of hemoglobin oxygen saturation using a small number of spectral images for endoscopic application. J Biomed Optics 20:126011
Johnson WR, Wilson DW, Fink W, Humayun M, Bearman G (2007) Snapshot hyperspectral imaging in ophthalmology. J Biomed Optics 12:014036
Mori M et al (2014) Intraoperative visualization of cerebral oxygenation using hyperspectral image data: a two-dimensional mapping method. Int J Comput Assist Radiol Surg 9:1059–1072
MacKenzie LE, Choudhary TR, McNaught AI, Harvey AR (2016) In vivo oximetry of human bulbar conjunctival and episcleral microvasculature using snapshot multispectral imaging. Exp Eye Res 149:48–58
Martinez-Herrera SE et al (2014) Multispectral endoscopy to identify precancerous lesions in Gastric Mucosa, vol 8509, pp 43–51
Leavesley SJ et al (2016) Hyperspectral imaging fluorescence excitation scanning for colon cancer detection. J Biomed Optics 21:104003
Han Z et al (2016) In vivo use of hyperspectral imaging to develop a noncontact endoscopic diagnosis support system for malignant colorectal tumors. J Biomed Optics 21:016001
Kumashiro R et al (2016) An integrated endoscopic system based on optical imaging and hyper spectral data analysis for colorectal cancer detection. Anticancer Res 3932:3925–3932
Panasyuk SV et al (2007) Medical hyperspectral imaging to facilitate residual tumor identification during surgery. Cancer Biol Ther 6:439–446
Liu Z, Yan J, Zhang D, Li Q-L (2007) Automated tongue segmentation in hyperspectral images for medicine. Appl Opt 46:8328–8334
Akbari H, Kosugi Y, Kojima K, Tanaka N (2008) Wavelet-based compression and segmentation of hyperspectral images in surgery. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 5128, pp 142–149
Hagen N, Kudenov MW (2013) Review of snapshot spectral imaging technologies. Opt Eng 52:090901
Gu X et al (2016) Image enhancement based on in vivo hyperspectral gastroscopic images: a case study. J Biomed Optics 21:101412
Leitner R et al (2013) Multi-spectral video endoscopy system for the detection of cancerous tissue. Pattern Recogn Lett 34:85–93
Yang C et al (2014) Scanning fiber endoscope with multiple fluorescence-reflectance imaging channels for guiding biopsy 89360R
Lee CM, Engelbrecht CJ, Soper TD, Helmchen F, Seibel EJ (2010) Scanning fiber endoscopy with highly flexible, 1 mm catheterscopes for wide-field, full-color imaging. J Biophotonics 3:385–407
Tate TH, Keenan M, Black J, Utzinger U, Barton JK (2017) Ultraminiature optical design for multispectral fluorescence imaging endoscopes. J Biomed Optics 22:036013
Waterhouse DJ, Luthman AS, Bohndiek SE (2017) Spectral band optimization for multispectral fluorescence imaging, vol 10057, pp 1005709
ThermoFisher Fluorescence SpectraViewer
Kaye PV et al (2009) Barrett’s dysplasia and the Vienna classification: reproducibility, prediction of progression and impact of consensus reporting and p53 immunohistochemistry. Histopathology 54:699–712
Bioucas-Dias JM et al (2012) Hyperspectral unmixing overview: geometrical, statistical, and sparse regression-based approaches. IEEE J Sel Top Appl Earth Obs Remote Sens 5:354–379
Shim MG, Wilson BC (1996) The effects of ex vivo handling procedures on the near-infrared Raman spectra of normal mammalian tissues. Photochem Photobiol 63:662–671
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Waterhouse, D.J. (2019). Flexible Endoscopy: Multispectral Imaging. In: Novel Optical Endoscopes for Early Cancer Diagnosis and Therapy. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-030-21481-4_5
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DOI: https://doi.org/10.1007/978-3-030-21481-4_5
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