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3 June 2019 OCT-based three-dimensional strain mapping for elastography and relaxography
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Proceedings Volume 11065, Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine; 1106503 (2019)
Event: International Symposium on Optics and Biophotonics VI: Saratov Fall Meeting 2018, 2018, Saratov, Russian Federation
In this report we present a scanning system and signal processing for three-dimensional strain mapping based on optical coherence tomography. This approach allows evaluating the tissue deformation in 3D for both quasistatic elastography (OCE) and monitoring of slowly relaxing strains (mechanical relaxations, creeps, etc.). Experimental demonstrations of 3D OCE are performed using silicone layer with known structure located on excised breast cancer tissue. It is important to note that in the described variant of OCE we perform aperiodic loading of the tissue not-synchronized with scanning. Because entire 3D datasets are acquired only twice (before and after deformation) it is crucial to ensure that there is already no tissue creep in the deformed state. Experimental demonstrations of monitoring slow processes are performed for visualization of drying of cartilaginous sample. Slow deformation may be undetectable on inter-B-scan intervals because such strain values may be well below minimal detectable level. However, for wider intervals (typical for 3D datasets acquisition), strains can attain an order of magnitude higher level that can be detectable and used for further relaxation parameters calculations. We discuss the applicable scanning patterns and signal processing optimizations.
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Alexander A. Sovetsky, Alexander L. Matveyev, Ekaterina V. Gubarkova, Lev A. Matveev, Nadezhda P. Pavlova, Anton A. Plekhanov, Dmitry V. Shabanov, Valentin M. Gelikonov, Grigory V. Gelikonov, Elena V. Zagaynova, Natalia D. Gladkova, and Vladimir Y. Zaitsev "OCT-based three-dimensional strain mapping for elastography and relaxography", Proc. SPIE 11065, Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine, 1106503 (3 June 2019);

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