Scientists at Johns Hopkins University (JHU) and medical device company Medtronic created a real-time endoscopic neurosurgery guidance method similar to the navigational technologies used in autonomous cars.
The researchers conceived of an endoscopic camera to help map the X, Y, and Z coordinates of target structures within the human brain.
JHU's Prasad Vagdargi assessed the navigation system's ability to visualize locations inside the brain using rubbery material that he designed and modeled after the human brain.
The team used that material to compare two computer vision algorithms for analyzing three-dimensional (3D) reconstructions, and found the Structure from Motion and Simultaneous Localization and Mapping (SLAM) computer vision algorithm to be significantly faster than the Structure from Motion (SfM) algorithm.
From The Johns Hopkins News-Letter
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