Reconstruction of Optical Vector-Fields With Applications in Endoscopic Imaging

Gataric, Milana; Gordon, George S. D.; Renna, Francesco; Ramos, Alberto Gil C. P.; Alcolea, Maria P.; Bohndiek, Sarah E.

Abstract

IEEE We introduce a framework for the reconstruction of the amplitude, phase and polarisation of an optical vector-field using measurements acquired by an imaging device characterised by an integral transform with an unknown spatially-variant kernel. By incorporating effective regularisation terms, this new approach is able to recover an optical vector-field with respect to an arbitrary representation system, which may be different from the one used for device calibration. In particular, it enables the recovery of an optical vector-field with respect to a Fourier basis, which is shown to yield indicative features of increased scattering associated with tissue abnormalities. We demonstrate the effectiveness of our approach using synthetic holographic images as well as biological tissue samples in an experimental setting where measurements of an optical vectorfield are acquired by a multicore fibre (MCF) endoscope, and observe that indeed the recovered Fourier coefficients are useful in distinguishing healthy tissues from tumours in early stages of oesophageal cancer.

Citation

Gataric, M., Gordon, G. S. D., Renna, F., Ramos, A. G. C. P., Alcolea, M. P., & Bohndiek, S. E. (2019). Reconstruction of Optical Vector-Fields With Applications in Endoscopic Imaging. IEEE Transactions on Medical Imaging, 38(4), 955-967. https://doi.org/10.1109/tmi.2018.2875875

• Journal Article Type: Article
• Acceptance Date: Oct 9, 2018
• Online Publication Date: Apr 2, 2019
• Publication Date: Apr 2, 2019
• Deposit Date: Jan 22, 2020
• Publicly Available Date: Jan 22, 2020
• Journal: IEEE Transactions on Medical Imaging
• Print ISSN: 0278-0062
• Electronic ISSN: 1558-254X
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 38
• Issue: 4
• Pages: 955-967
• DOI: https://doi.org/10.1109/tmi.2018.2875875
• Keywords: Electrical and Electronic Engineering; Radiological and Ultrasound Technology; Software; Computer Science Applications
• Public URL: https://nottingham-repository.worktribe.com/output/3020707
• Publisher URL: https://ieeexplore.ieee.org/document/8490861