Optical Coherence Tomography-Reference-Cited by-同舟云学术

Optical Coherence Tomography

Published: Issue: Volume: Page:180-193
ISSN:2327-7033
Container-title:Intravascular Imaging
language:
Short-container-title:

Author:

Athanasiou Lambros S.¹,Bruining Nico²,Prati Francesco³,Koutsouris Dimitris⁴

Affiliation:

1. University of Ioannina, Greece

2. Erasmus MC, The Netherlands

3. San Giovanni Hospital, Italy

4. National Technical University of Athens, Greece

Abstract

This chapter is devoted to the description of the basic principles of data acquisition of the Optical Coherence Tomography imaging technique. The physical mechanisms of the tissue optics are detailed, while the architecture of the OCT system is provided, emphasizing on both the TD-OCT and FD-OCT. Then, after discussing about the OCT image resolution, a parametric comparison of OCT with regard to IVUS imaging technique is attempted. Finally, the limitations of the technique are described, along with the safety of its application to the clinical practice.

Publisher

IGI Global

Reference29 articles.

1. Evaluation of intracoronary stenting by intravascular optical coherence tomography

2. Intravascular ultrasound imaging of coronary arteries. Is three layers the norm?;P. J.Fitzgerald;Circulation,1992

3. The safety of intracoronary ultrasound - A multicenter survey of 2207 examinations.;D.Hausmann;Circulation,1995

4. Optical Coherence Tomography

5. Visualization of coronary atherosclerotic plaques in patients using optical coherence tomography: comparison with intravascular ultrasound

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-view Contour-constrained Transformer Network for Thin-cap Fibroatheroma Identification;Neurocomputing;2023-02

2. Shape prior generation and geodesic active contour interactive iterating algorithm (SPACIAL): fully automatic segmentation for 3D lumen in intravascular optical coherence tomography images;Medical Physics;2021-09-13

3. Application of physics-based flow models in cardiovascular medicine: Current practices and challenges;Biophysics Reviews;2021-03

4. Development of an innovative technology to segment luminal borders of intravascular ultrasound image sequences in a fully automated manner;Computers in Biology and Medicine;2019-05

5. A deep learning approach to classify atherosclerosis using intracoronary optical coherence tomography;Medical Imaging 2019: Computer-Aided Diagnosis;2019-03-13