Research

Brief Introduction to Optical Coherence Tomography

A good first level way to understand OCT is to think of it as the optical analogue of ultrasound imaging. In ultrasound imaging, an image of the scanned sample is generated by tracing out the echo time sequence of the reflected ultrasound pulse. The deeper a reflector is, the longer it takes for the echo to return.

In the case of OCT, the echoes arrive within a very short interval of each other. For a depth of 1 mm, the time separation between the top surface and the bottom is about 7 x 10^-12 s. For those who are more comfortable in the frequency regime, this implies a frequency of 1.5 x 10^11 Hz. At this time interval or frequency, it is not experimentally feasible to detect the echoes directly.

Fortunately, we can use interferometry to help us out. Consider the above scheme. Assume that the light beam comprises of a train of light pulses. An input beam into a beamsplitter is split into two beams. One is reflected from a reference mirror. The other is reflected from a sample. Consider a very simple sample consisting of a single reflector. The two reflections are combined at the beamsplitter. Now, if the distance to the reference mirror equals the distance to the sample, the light pulses will overlap in time and interfere. Otherwise, they will not overlap in time and will not interfere. So by scanning the reference mirror, we can map out the location of reflectors within the sample as a function of depth.

The use of interferometry also gets us away from actually having to use light pulses. In this case, a light source that has the same frequency bandwidth as one based on light pulses will give the same OCT imaging capability.

Second level OCT interpretation. A better way to understand OCT is by looking in the wavelength domain.

Consider the same scheme. Now assume a monochromatic light source. If you scan the reference mirror, you will see a continuous sinusoidal interference signal. The period of this signal, in (x_r-x_s) dimension, is simply /2.

Now, if the light source has a spectral span, we can treat each wavelength component in the same manner. The resulting signal we see at the end is simply the sum of the individual trace. Since each sinusoidal component will have a slightly different wavelength, their period will be slightly different. Upon summing, we will get a resulting interference signal that drops off rapidly beyond the point where the two reflectors are matched in pathlengths.

Brief Introduction to OCT

(Second level + 1) OCT interpretation.

Recently, several research groups came to realize that the above approach for doing OCT imaging isn’t the most efficient. The above approach has been termed "time-domain OCT" in view of the fact that a scan of the reference mirror in time is required to generate the requisite information set.

A good starting point to begin understanding the inefficiency is to think about the following question:

What if we don't detect just the sum of the wavelength components, but, instead, detect ALL of the wavelength components individually?

Certainly, we will end up with more information. And in fact, this set of information is N/2 times richer than that from time-domain OCT, where N is the number of wavelength detection channel employed. [Technical Article]

It is actually possible to reconstruct the location of reflectors within the sample using this set of information without resorting to the scanning of the reference mirror.

The above figure illustrates the additional dimension of information available from acquiring spectrally differentiated data. Figure A shows the relationship between the pathlength mismatch, wavelength, and the interference signal. When we detect the total light intensity with a single detector while scanning the reference mirror position, we are simply summing up the signal in the wavelength dimension and generating a summed signal with the correct coherence envelop as shown in Figure B. If instead, we take a spectral trace at a fixed reference mirror position, the period of the observed sinusoidal oscillation can be used to work out the location reflection. If there is more than one reflector in the sample, a Fourier decomposition of the spectral trace will provide both their positions (from the period) and their reflectivity (from the oscillation's amplitude).

In view of this development, one focus of our laboratory is to develop new OCT schemes that exploit this advantage to render OCT images with improved acquistion efficiency.