ENDOSCOPY/COLONOSCOPY: Stereo endoscopy technique finds lesions invisible to standard colonoscopy

Photometric stereo endoscopy, a new technique developed at Massachusetts Institute of Technology (MIT; Cambridge, MA), promises to improve detection of precancerous lesions in the colon by capturing topographical images along with traditional two-dimensional images. The approach promises to highlight flat lesions and other growths that traditional endoscopy typically misses.

Conventional colonoscopy screening looks for large polyps growing into the lumen of the colon. These growths are fairly easy to see, says Nicholas Durr, a research fellow in the Madrid-MIT M+Vision Consortium in Spain, a community of medical researchers in Boston, MA, and Madrid. But, he explains, recent studies show that nonpolypoid lesions can also lead to cancer.

Photometric stereo imaging "reads" the topography of a surface by measuring distances between it and multiple light sources. It uses those distances to calculate the slope of the surface relative to the light source, and to generate a 3D map showing bumps and other surface features. But in colonoscopy it is impossible to know the precise distance between the endoscope's tip and the colon's surface, so the researchers had to modify the original technology.

The researchers built two prototypes—one the size of a typical colonoscope (14 mm in diameter) and one larger (35 mm)—and found that in tests with an artificial colon, both could create 3D representations of polyps and flatter lesions.

The technology could be easily added to contemporary devices because many existing colonoscopes already have multiple light sources, says Durr. "From a hardware perspective, all they need to do is alternate the lights and then update their software to process this photometric data."

The researchers plan to test the technology in human patients in clinical trials at Massachusetts General Hospital (MGH; Boston, MA) and the Hospital Clinico San Carlos in Madrid. They are also working on additional computer algorithms that could help to automate the process of identifying polyps and lesions from the topographical information generated by the new system.

1. V. Parot et al., J. Biomed. Opt., 18, 7, 076017 (2013); doi:10.1117/1.jbo.18.7.076017.

Get All the BioOptics World News Delivered to Your Inbox

Subscribe to BioOptics World Magazine or email newsletter today at no cost and receive the latest news and information.

 Subscribe Now
Related Articles

Merz acquires laser tattoo removal device maker ON Light Sciences

Merz North America has acquired ON Light Sciences, which develops technologies to enhance laser-based dermatology procedures.

Shortwave-infrared device could improve ear infection diagnosis

An otoscope-like device that could improve ear infection diagnosis uses shortwave-infrared light instead of visible light.

Laser therapy extracts rare tumor that grew human hair, skin in boy's skull

About four years ago, a tumor comprised of human skin, hair, bone and cartilage was fast-growing inside a Ramsey, MN, 10-year-old youth's brain.

Low-level laser therapy could speed muscle recovery at Rio 2016 Olympics

The gold medal-winning women’s U.S. Gymnastics team is reportedly experimenting with infrared light therapy to alleviate pain and reduce swelling in its athletes. (Update: A spokesperson for ...

Neuro15 exhibitors meet exacting demands: Part 2

Increasingly, neuroscientists are working with researchers in disciplines such as chemistry and p...

Why be free?

A successful career contributed to keeping OpticalRayTracer—an optical design software program—fr...

LASER Munich 2015 is bio-bent

LASER World of Photonics 2015 included the European Conferences on Biomedical Optics among its si...

White Papers

Understanding Optical Filters

Optical filters can be used to attenuate or enhance an image, transmit or reflect specific wavele...

How can I find the right digital camera for my microscopy application?

Nowadays, image processing is found in a wide range of optical microscopy applications. Examples ...



Twitter- BioOptics World