scholarly journals Optical coherence tomography layer thickness characterization of a mock artery during angioplasty balloon deployment

2011 ◽  
Author(s):  
Hamed Azarnoush ◽  
Sébastien Vergnole ◽  
Benoît Boulet ◽  
Guy Lamouche
Keyword(s):  
Optical Coherence Tomography ◽  
Layer Thickness ◽  
Optical Coherence ◽  
Angioplasty Balloon

scholarly journals Optical Coherence Tomography Characterization of Balloon Diameter and Wall Thickness

2010 ◽  
Vol 4 (2) ◽  
Author(s):  
Hamed Azarnoush ◽  
Rafik Bourezak ◽  
Sebastien Vergnole ◽  
Guy Lamouche ◽  
Benoit Boulet
Keyword(s):  
Optical Coherence Tomography ◽  
Wall Thickness ◽  
Deformation Model ◽  
Optical Coherence ◽  
Inflated Balloon ◽  
Angioplasty Balloon ◽  
Detailed Assessment ◽  
Intravascular Optical Coherence Tomography

An intravascular optical coherence tomography probe is integrated in a computerized angioplasty balloon deployment system. The resulting setup can be useful in many applications. In this paper, based on the acquired intraluminal images, we achieve a detailed assessment of the diameter and wall thickness of the inflated balloon at different pressures. Such analysis is helpful in testing the balloon quality, in assessing deformation model, or in validating new balloon designs.

scholarly journals Morpho-molecular ex vivo detection and grading of non-muscle-invasive bladder cancer using forward imaging probe based multimodal optical coherence tomography and Raman spectroscopy

The Analyst ◽  
2020 ◽  
Vol 145 (4) ◽  
pp. 1445-1456 ◽  
Author(s):  
Fabian Placzek ◽  
Eliana Cordero Bautista ◽  
Simon Kretschmer ◽  
Lara M. Wurster ◽  
Florian Knorr ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Optical Coherence Tomography ◽  
Imaging System ◽  
Ex Vivo ◽  
Large Field ◽  
Optical Coherence ◽  
Fiber Optic Probe ◽  
Optic Probe ◽  
Muscle Invasive

Characterization of bladder biopsies, using a combined fiber optic probe-based optical coherence tomography and Raman spectroscopy imaging system that allows a large field-of-view imaging and detection and grading of cancerous bladder lesions.

scholarly journals Characterization of Optical Coherence Tomography Images for Colon Lesion Differentiation under Deep Learning

2021 ◽  
Vol 11 (7) ◽  
pp. 3119
Author(s):  
Cristina L. Saratxaga ◽  
Jorge Bote ◽  
Juan F. Ortega-Morán ◽  
Artzai Picón ◽  
Elena Terradillos ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Deep Learning ◽  
Data Augmentation ◽  
Optical Biopsy ◽  
Colon Polyps ◽  
Optical Coherence ◽  
Colon Lesion ◽  
Patient Prognosis ◽  
B Scan Images

(1) Background: Clinicians demand new tools for early diagnosis and improved detection of colon lesions that are vital for patient prognosis. Optical coherence tomography (OCT) allows microscopical inspection of tissue and might serve as an optical biopsy method that could lead to in-situ diagnosis and treatment decisions; (2) Methods: A database of murine (rat) healthy, hyperplastic and neoplastic colonic samples with more than 94,000 images was acquired. A methodology that includes a data augmentation processing strategy and a deep learning model for automatic classification (benign vs. malignant) of OCT images is presented and validated over this dataset. Comparative evaluation is performed both over individual B-scan images and C-scan volumes; (3) Results: A model was trained and evaluated with the proposed methodology using six different data splits to present statistically significant results. Considering this, 0.9695 (±0.0141) sensitivity and 0.8094 (±0.1524) specificity were obtained when diagnosis was performed over B-scan images. On the other hand, 0.9821 (±0.0197) sensitivity and 0.7865 (±0.205) specificity were achieved when diagnosis was made considering all the images in the whole C-scan volume; (4) Conclusions: The proposed methodology based on deep learning showed great potential for the automatic characterization of colon polyps and future development of the optical biopsy paradigm.

scholarly journals QUANTIFICATION OF PHOTORECEPTOR LAYER THICKNESS IN NORMAL EYES USING OPTICAL COHERENCE TOMOGRAPHY

Retina ◽  
2006 ◽  
Vol 26 (6) ◽  
pp. 655-660 ◽  
Author(s):  
ANNIE CHAN ◽  
JAY S. DUKER ◽  
HIROSHI ISHIKAWA ◽  
TONY H. KO ◽  
JOEL S. SCHUMAN ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Layer Thickness ◽  
Optical Coherence ◽  
Photoreceptor Layer
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