Air-Jet based optical coherence elastography: processing and mechanical interpretation of brain tumor data

Nicolas Detrez; Sazgar Burhan; Katharina Rewerts; Jessica Kren; Christian Hagel; Matteo Mario Bonsanto; Dirk Theisen-Kunde; Robert Huber; Ralf Brinkmann

doi:10.1117/12.2649835

15 March 2023 Air-Jet based optical coherence elastography: processing and mechanical interpretation of brain tumor data

Nicolas Detrez, Sazgar Burhan, Katharina Rewerts, Jessica Kren, Christian Hagel, Matteo Mario Bonsanto, Dirk Theisen-Kunde, Robert Huber, Ralf Brinkmann

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Proceedings Volume 12381, Optical Elastography and Tissue Biomechanics X; 1238105 (2023) https://doi.org/10.1117/12.2649835
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

The long-term aim of this project is to establish optical coherence elastography for tumor delineation in the field of neurosurgery. Because of the challenging highly viscoelastic properties of brain tissue, we developed a new Air-Jet based excitation source. With pulse duration of up to 700 ms and real time force measurement, this novel system allows the sample to reach a semi-steady state. In parallel with a 3.2 MHz swept-source optical coherence tomography system over 800 line scans are acquired over the whole sample excitation process. The phase data is extracted, unwrapped and the displacement per pixel is calculated. This system enables the measurement of mechanical properties like stiffness and Young’s modulus, similar to the standard indentation measurement. As well as viscoelastic properties i.e. relaxation times, in non-contact. The first processing step is to split the excitation progression into three main time ranges: the high dynamic, the steady state, and the viscoelastic range. In each range typical features of the displacement curve are extracted for every pixel in the B-scan. For those features, various mechanical parameters are calculated mainly, the stiffness and Young’s modulus and stored as feature matrices. The results are processed, visualized and overlaid with either the OCT intensity image or the histological sections. Strain stress curves are generated for some selected positions in the B-scan leading to a specific viscoelastic hysteresis. The feature matrices will be utilized as a fingerprint for each tissue, and are the first step for an AI based classification of the tissue.

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Nicolas Detrez, Sazgar Burhan, Katharina Rewerts, Jessica Kren, Christian Hagel, Matteo Mario Bonsanto, Dirk Theisen-Kunde, Robert Huber, and Ralf Brinkmann "Air-Jet based optical coherence elastography: processing and mechanical interpretation of brain tumor data", Proc. SPIE 12381, Optical Elastography and Tissue Biomechanics X, 1238105 (15 March 2023); https://doi.org/10.1117/12.2649835

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KEYWORDS

Tumors

Connective tissue

Optical coherence tomography

Viscoelasticity

Brain tissue

Deformation

Elastography

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