Optical Coherence Tomography
Overview
Optical coherence tomography consists of measuring the optical reflections of biological structures using low-coherence light. optical
- Ultrashort pulsed lasers and supercontinuum lasers are used, but less frequently than superluminescent diodes.
waves are described as coherent if they have the same waveform and are perfectly in phase.
- In this context, incoherent means that broadband light is used, modelled as a Gaussian source.
Optical image tomography is analogous to optical ultrasound. Multiple longitudinal scans are performed laterally to produce a two-dimension map of reflection sites in the scanned area. optical
Typically uses near-infrared light.
A light source produces a beam of incoherent light that is split by a Michelson interferometer. The interference pattern produced by the interference between the light returning from the sample and the light returning from a reference mirror is then analyzed optical.
To produce a B-scan image, the sample is scanned laterally forming a cross-section of A-scan images.
Each measurement produces an A-scan image, analogous to that of an ultrasound machine. To produce a 2D or 3D image, the image must be scanned in one or two lateral dimensions respectively.
Time domain OCT (TD-OCT)

Goal is to identify the position of the scattering object.
In time-domain OCT, the position of a movable mirror is adjusted, resulting in a burst pattern when the mirror and the object are equidistant from the detector.
- A broadband source is used because maximal constructive interference is only produced when the two are equidistant.
- If monochromatic or 2-wavelength sources are used, the interference signal is periodic as a function of τ and the location of the scattering object cannot be determined.
Fourier domain OCT (FD-OCT)

The rate at which the measured reflectance changes as a function of depth varies with wavelength.
- Red light (greater wavelength) modulates more slowly than blue light (shorter wavelength).
When reflectance is then plotted as a function of wavenumber ṽ, the values of reflectance for different colours of light form sine waves.
- The period of these sine waves encodes the depth of the scattering object.
In spectral domain OCT, the position of the reference mirror is not changed.
Instead, a spectrometer at the detector measures the amplitude of the interference pattern as a function of the wavenumber ṽ.
A Fourier transform is then performed on the measured reflectance vs. wavenumber plot to determine the reflectance vs. depth.
Source: twenty
- A Gaussian source as for time-domain OCT with a spectrometer. This is Spectral Domain OCT.
- A swept-source with a simple detector. A rapidly tunable laser emits a single intense wavelength at a time. This is Swept Source OCT.
FD-OCT is almost always favoured over TD-OCT because of improved sensitivity as a result of reduced noise. twenty
Advantages

- Both the axial and lateral resolution of OCT are significantly greater than ultrasound, CT, MRI, and other commonly used imaging technologies.
- These resolution are typically 5–20 µm
Applications
In 2014, 5.13 million OCT scans were performed in the US alone, making it one of the most common medical imaging procedures Fauw.
Optical coherence tomography is used most often in ophthalmology, but can be used wherever translucent tissues are found.
Effective in early detection of macular degeneration, diabetic retinopathy, glaucoma, and other retinal diseases aumann.
The ability of OCT to measure the thickness of retinal layers makes it uniquely suitable for glaucoma diagnosis.
First introduced in 1996, an opthalmic OCT device was first introduced to the market, but was unpopular because of the low resolution and slow speed of TD-OCT aumann.
In 2006, SD-OCT devices were first introduced, and have become indispensable to many diagnosticians aumann.
Optical coherence tomography angiography is an angiography technique which uses OCT scans to image the vasculature of the eye in higher-definition than dye angiography and without the risk of dye injection tan2018overview.
Improvements
In ophthalmology, the bottleneck lies not in performing OCT scans, but in diagnosing eye conditions and making appropriate referrals from these scans Fauw.
In 2018, researchers at Google’s DeepMind proposed a neural network that could perform segmentation, diagnosis, and make referral recommendations based on 3D OCT scans with accuracy equal to or exceeding that of ophthalmologists Fauw.
- Their model was trained on only 14,884 scans and works on a wide-range of commercially available OCT scanners.

Their model is composed of two neural networks, a supervised segmentation network which identifies tissues boundaries surround the macula—the central region of the retina—and a supervised classification network which makes diagnosis and referral decisions based on 14,884 scan-diagnosis training pairs.
While their model shows promise, a randomized controlled trial will need to be performed to determine its effectiveness.
Bibliography
[optical] Huang, Swanson, Lin, Schuman, Stinson, Chang, Hee, Flotte, Gregory, Puliafito & others, Optical coherence tomography, science, 254(5035), 1178-1181 (1991). ↩
[aumann] @incollectionaumann, title=Optical Coherence Tomography (OCT): Principle and Technical Realization, author=Aumann, Silke and Donner, Sabine and Fischer, J"org and M"uller, Frank, booktitle=High Resolution Imaging in Microscopy and Ophthalmology, pages=59-85, year=2019, publisher=Springer ↩
[twenty] De Boer, Leitgeb & Wojtkowski, Twenty-five years of optical coherence tomography: the paradigm shift in sensitivity and speed provided by Fourier domain OCT, Biomedical optics express, 8(7), 3248-3280 (2017). ↩
[Fauw] De Fauw, Ledsam, Romera-Paredes, Nikolov, Tomasev, Blackwell, Askham, Glorot, O’Donoghue, Visentin & others, Clinically applicable deep learning for diagnosis and referral in retinal disease, Nature medicine, 24(9), 1342-1350 (2018). ↩
[tan2018overview] Tan, Tan, Denniston, Keane, Ang, Milea, Chakravarthy & Cheung, An overview of the clinical applications of optical coherence tomography angiography, Eye, 32(2), 262-286 (2018). ↩