Full‐field swept‐source optical coherence tomography and neural tissue classification for deep brain imaging. Issue 2 (2nd December 2019)

• Record Type: Journal Article
• Authors: Almog, Ilan Felts; Chen, Fu‐Der; Senova, Suhan; Fomenko, Anton; Gondard, Elise; Sacher, Wesley D.; Lozano, Andres M.; Poon, Joyce K. S.
• Is Part Of: Journal of biophotonics. Volume 13:Issue 2(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-12-02
• Subjects: image processing -- machine learning -- optical coherence tomography -- optical devices -- surgical instruments; Photonics -- Periodicals; Optical materials -- Periodicals; Optics -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3605
• DOI: 10.1002/jbio.201960083
• Languages: English
• ISSNs: 1864-063X

Abstract

Abstract: Optical coherence tomography can differentiate brain regions with intrinsic contrast and at a micron scale resolution. Such a device can be particularly useful as a real‐time neurosurgical guidance tool. We present, to our knowledge, the first full‐field swept‐source optical coherence tomography system operating near a wavelength of 1310 nm. The proof‐of‐concept system was integrated with an endoscopic probe tip, which is compatible with deep brain stimulation keyhole neurosurgery. Neuroimaging experiments were performed on ex vivo brain tissues and in vivo in rat brains. Using classification algorithms involving texture features and optical attenuation, images were successfully classified into three brain tissue types. Abstract : Optical coherence tomography can differentiate brain regions with intrinsic contrast and at a micron scale resolution. We present, to our knowledge, the first full‐field swept‐source optical coherence tomography system operating near a wavelength of 1310 nm. The proof‐of‐concept system was integrated with an endoscopic probe tip, which is compatible with deep brain stimulation keyhole neurosurgery. Using classification algorithms involving texture features and optical attenuation, images were successfully classified into three brain tissue types.