Motion-invariant SRT treatment detection from direct M-scan OCT imaging

Fountoukidou, Tatiana; Raisin, Philippe Richard; Kaufmann, Daniel; Justiz, Jorn; Sznitman, Raphael; Wolf, Sebastian (2018). Motion-invariant SRT treatment detection from direct M-scan OCT imaging. International Journal of Computer Assisted Radiology and Surgery, 13(5), pp. 683-691. Springer 10.1007/s11548-018-1720-z

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Purpose: Selective retina therapy (SRT) is a laser treatment targeting specific posterior retinal layers. It is focused on inducing damage to the retinal pigment epithelium (RPE), while sparing other retinal tissue compared to traditional photocoagulation. However, the targeted RPE layer is invisible with most imaging modalities and induced SRT lesions cannot be monitored. In this work, imaging scans acquired from an experimental setup that couples the SRT laser beam with an optical coherence tomography (OCT) beam are analyzed in order to evaluate the treatment as they occur.

Methods: We isolated a small part of the time-resolved scan corresponding to the end of the treatment, for which we have microscopic evidence of the SRT outcome. We then use a convolutional neural network to correspond each scan to the treatment result. We explore which aspects of the scan convey more valuable information for a robust therapy evaluation. By only using this adequately small part, we can achieve an online estimation, while being resilient to eye movement.

Results: The available dataset consists of time-resolved OCT scans of 98 ex vivo porcine eyes, treated with different energy levels. The proposed method yields high performance in the task of predicting whether the applied energy was adequate for SRT treatment, by focusing on the immediate OCT signal acquired during treatment time.

Conclusions: We propose a strategy toward online noninvasive SRT treatment assessment, able to provide a satisfying evaluation of a treatment status, that therefore could be used for the planning of the treatment continuation.

Item Type:

Journal Article (Original Article)


04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Ophthalmology
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - AI in Medical Imaging Laboratory
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Fountoukidou, Tatiana, Raisin, Philippe Richard, Sznitman, Raphael, Wolf, Sebastian


500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
600 Technology > 620 Engineering








Raphael Sznitman

Date Deposited:

18 Apr 2018 08:46

Last Modified:

05 Dec 2022 15:09

Publisher DOI:


PubMed ID:


Uncontrolled Keywords:

Computer assisted intervention Online dosimetry Selective retina Therapy Time-resolved OCT




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