Faster 3D Imaging Could Aid Diagnosis of Cardiovascular, Gastrointestinal Disease.

Researchers have developed a faster way to acquire 3-D endoscopic Optical Coherence Tomography (OCT) images. With further development, the new approach could be useful for early detection and classification of a wide range of diseases.

The new method uses computational approaches that create a full 3-D image from incomplete data. The researchers report that useful 3-D images could be constructed using 40 percent less data than traditional 3-D Optical Coherence Tomography (OCT) approaches which would decrease imaging time by 40 percent.

Optical Coherence Tomography (OCT) is a biomedical imaging technique that has seen expanding clinical use in recent years thanks to its ability to provide high resolution images of tissue microstructures. Today endoscopic Optical Coherence Tomography (OCT) imaging is routinely used to classify plaques and lesions in the blood vessels and is finding more use in diagnosing gastrointestinal diseases.

“Although 3-D Optical Coherence Tomography (OCT) images are very useful for medical diagnosis the significant amounts of imaging data they require limits imaging speed” said research team leader X from Georgian Technical University. “Our new method solves this problem by forming 3-D images from much less data”.

Creating 3-D Optical Coherence Tomography (OCT) images with current methods requires a data-intensive process of stitching together a series of 2-D images taken at equal measurements. In the new work the researchers used a method known as sparse sampling to acquire considerably fewer 2-D images and then applied compressive sensing algorithms to fill in the missing information needed to create 3-D images.

The researchers tested the new method using a magnetic-driven scanning Optical Coherence Tomography (OCT) probe to image inside of an extracted pigeon trachea. The probe, which the team developed previously uses an externally-driven tiny magnet to scan 360 degrees. The design minimizes the Optical Coherence Tomography (OCT) scanning mechanisms enough to fit inside a device just 1.4 millimeters in diameter.

Creating 3-D images of a 2-millimeter portion of the human trachea would typically require imaging every 10 microns to obtain 200 image frames. Using sparse sampling, the researchers acquired 120 frames at random positions ranging from 0 to 2 millimeters and then used the compressive sensing algorithms to create 3-D images.

“Our tests verified that a greatly reduced amount of experimental data can be used to reconstruct reasonable 3-D Optical Coherence Tomography (OCT) images” said X. “After we perform enough experiments to demonstrate that our probe and imaging method are useful for observing malignant features our technique will be ready for clinical trials”.

The researchers plan to use their new approach to image additional biological samples related to specific diseases. They also plan to improve the endoscopic Optical Coherence Tomography (OCT) probe so that it will be more robust in a variety of situations and in the context of repeated contact with biological tissues.

“This work is just one example of applying computational techniques to imaging applications” said X. “We expect that similar approaches may be helpful for improving the experiment designs and data acquisition for many imaging modalities”.