A team of researchers from Emory University has developed a new method for identifying human organs using 3-D-printed objects.
The new method could eventually help to identify the organs and tissues of patients with severe injuries and other injuries.
The team, led by Emory associate professor and lead author Aaron J. Fagan, has recently published their work in the journal Science Advances.
The research has been supported by the National Institutes of Health (R01DK094887, R01DK081682, and R01AI096523).
The study involved a group of volunteers who received a computerized robotic hand, an instrument to track how well they could use it, and an external 3-dimensional printer that could print the object.
Researchers placed the volunteer’s hand on a surface made up of a 3-d printed part that included four 3-millimeter (1.4-inch) holes, each one approximately the size of a human finger.
Researchers then placed the part onto the surface and watched as the volunteers used the object to place the part in various positions on the surface.
As they placed the 3-mm holes, the volunteers performed tasks to test their dexterity, including pulling, twisting, and bending.
The researchers also recorded how well the volunteers were able to position their hands.
When asked how well a volunteer could use their 3- mm-diameter object to position a different part, the researchers found that the volunteers could use the object for more than two tasks.
The results showed that the participants could use objects to manipulate parts on the 3 mm-Dimensional surface, with a relative success rate of about 75 percent.
The volunteers performed two tasks, one of which required the volunteers to move their hands and the other one of them to place a part in a 3 mm position on the object, to the satisfaction of the participant.
The next step is to find out which parts can be manipulated by the volunteers and what kind of motion they can make with the objects, Fagan said.
The study has been published in the Proceedings of the National Academy of Sciences.
Fagans team was able to identify some of the organs in the volunteers’ bodies using a technique called autoradiography, which uses the same technique to detect the position of objects in a video camera.
In autoradioagulation, researchers can take a picture of the object as it moves in the video and then analyze the position and movement of the objects.
This is a key advantage of this technique, Fagancans team said.
“If you can use the same principle to study a 3D printed object, then you can analyze the motion of the 3D object, and if you can tell that object has moved in the right direction, you can then predict the position for the object,” he said.
For example, if the 3d printed object has a long curved part that moves in a direction that is slightly up or down, it could be used to tell that the object is moving in a vertical direction.
But if the object has smaller, rounded parts that move in a different direction, Fags team could tell that it is moving vertically.
“The key thing here is that we can identify these organ types by using a 3rd-person perspective,” Fagan explained.
“You can actually look at the 3rd person in the 3DS camera, and the 3Ds camera can tell if the body part is moving.
This method of autorobotic identification is extremely useful because it can be applied to a whole host of things, not just organs,” Faganes team said in a press release.
Figs of the printed organs were then analyzed by using the 3.0 mm-thick tissue model of the organ to identify its structure.
Fags group is working on a next step that they hope will be applicable to other areas of medicine.
They hope to be able to use this information to make better diagnoses in other fields.
For more information, visit: http://www.scienceadvances.com/articles/nature/s/2017/07/09/science-announces-new-method-for-identifying-human-body-parts-using-3-D.html?utm_source=science&utm_medium=email&utm=email This story has been updated to include the name of the author.