scholarly journals Optical coherence tomography (OCT) leading to more insight into cochlear mechanics

2015 ◽  
Author(s):  
Egbert de Boer ◽  
Fangyi Chen ◽  
Dingjun Zha ◽  
Alfred L. Nuttall
Keyword(s):  
Optical Coherence Tomography ◽  
Cochlear Mechanics ◽  
Optical Coherence ◽  
Insight Into

scholarly journals Multimodal probe for optical coherence tomography epidetection and micron-scale indentation

2017 ◽  
Vol 10 (06) ◽  
pp. 1742007 ◽  
Author(s):  
L. Bartolini ◽  
F. Feroldi ◽  
J. J. A. Weda ◽  
M. Slaman ◽  
J. F. de Boer ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Region Of Interest ◽  
Contact Radius ◽  
Spherical Indentation ◽  
Optical Coherence ◽  
Depth Profiles ◽  
All Optical ◽  
Transverse Resolution ◽  
Maximum Contact ◽  
Insight Into

We present a multimodal ferrule-top sensor designed to perform the integrated epidetection of Optical Coherence Tomography (OCT) depth-profiles and micron-scale indentation by all-optical detection. By scanning a sample under the probe, we can obtain structural cross-section images and identify a region-of-interest in a nonhomogeneous sample. Then, with the same probe and setup, we can immediately target that area with a series of spherical-indentation measurements, in which the applied load is known with a [Formula: see text]N precision, the indentation depth with sub-[Formula: see text]m precision and a maximum contact radius of 100[Formula: see text][Formula: see text]m. Thanks to the visualization of the internal structure of the sample, we can gain a better insight into the observed mechanical behavior. The ability to impart a small, confined load, and perform OCT [Formula: see text]-scans at the same time, could lead to an alternative, high transverse resolution, Optical Coherence Elastography (OCE) sensor.

scholarly journals Insight into the fundamental trade-offs of diffusion MRI from polarization-sensitive optical coherence tomography in ex vivo human brain

NeuroImage ◽  
2020 ◽  
Vol 214 ◽  
pp. 116704
Author(s):  
Robert Jones ◽  
Giorgia Grisot ◽  
Jean Augustinack ◽  
Caroline Magnain ◽  
David A. Boas ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Human Brain ◽  
Diffusion Mri ◽  
Ex Vivo ◽  
Optical Coherence ◽  
Trade Offs ◽  
Insight Into

scholarly journals Automatic Segmentation and Classification Methods Using Optical Coherence Tomography Angiography (OCTA): A Review and Handbook

2021 ◽  
Vol 11 (20) ◽  
pp. 9734
Author(s):  
Kristen M. Meiburger ◽  
Massimo Salvi ◽  
Giulia Rotunno ◽  
Wolfgang Drexler ◽  
Mengyang Liu
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence Tomography Angiography ◽  
Automatic Segmentation ◽  
Clinical Applications ◽  
Optical Coherence ◽  
Classification Methods ◽  
Non Invasive ◽  
Comparison Of Techniques ◽  
Automated Algorithms ◽  
Insight Into

Optical coherence tomography angiography (OCTA) is a promising technology for the non-invasive imaging of vasculature. Many studies in literature present automated algorithms to quantify OCTA images, but there is a lack of a review on the most common methods and their comparison considering multiple clinical applications (e.g., ophthalmology and dermatology). Here, we aim to provide readers with a useful review and handbook for automatic segmentation and classification methods using OCTA images, presenting a comparison of techniques found in the literature based on the adopted segmentation or classification method and on the clinical application. Another goal of this study is to provide insight into the direction of research in automated OCTA image analysis, especially in the current era of deep learning.

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