Friday, September 30, 2016

Algorithm could enable visible light based imaging for medical devices

In recent times MIT researchers have created a technique for retrieving information from light that has been scattered due to interactions with the enviroment. These techniques could be used in medical imaging systems. This would allow information to be carried through visible light which would help computer systems work in fog or rain. The light would also carry more information that xrays or ultrasound waves. Researchers at MIT did an experiment. They shot a laser beam through a tissue phantom, a material designed to mimic the human tissue. By shooting the laser beam through the skin the light was scattered. This scattering of light was captured by camera which could record the time of the light's arrival. This is similar to how an xray works, except there isn't enough interaction between the tissue and waves so X-rays are unable to detect different types of tissue or bleeding.  Researchers are attempting to use light forms that are less powerful than laser beams so that they will not damage the human tissue. This new system that the researchers have created rely on pulsed laser that emit short bursts of light and a speed camera that distinguishes the time at which the light is recieved. To determine data the system will determine the changes in time when the light is recieved and how much the light has been scattered. With this information the algorithm that the researchers have created translated the information from the scattered light and cosiders the information for each pixel on a sucessive frame. With this it will create a model, and the final model will deduce the pattern of light most likely to have produced the sequence of measurements.


This advancement in the transmition of information is quite interesting as I thought that pulling information from light was quite unique. I never thought that light could ever be translated to code.

http://news.mit.edu/2016/all-photons-imaging-algorithm-0929

1 comment:

  1. I think this topic has really interesting applications in the medical field. I'm not sure if this is the same technology but I had this iphone app that measured my heart rate using its flashlight and camera to shine light onto my phone and observe the changes.

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