MIT researchers’ new VoxelMorph machine learning algorithm compares medical images more than 1,000 times faster than current algorithms

Briefing

MIT researchers’ new VoxelMorph machine learning algorithm compares medical images more than 1,000 times faster than current algorithms

June 21, 2018

Briefing

  • Faster Image Analysis – MIT researchers developed machine learning algorithm, called VoxelMorph, that can compare brain scans and other 3D images more than 1,000 times faster than traditional systems
  • Speed Comparison – Successfully compared 250 test brain scans in two seconds using central processing unit (CPU), and one second using graphics processing unit (GPU), compared to two hours with current algorithms
  • AI Training – Algorithm learned from 7,000 publicly available brain scans, enabling it to align images and estimate optimal alignment parameters
  • Standard-Level Accuracy – VoxelMorph found to be as accurate as commonly used algorithms
  • Other Applications – Can be used to analyze lung images, as well as comparing images before and after surgical operations

Accelerator

Sector

Healthcare/Health Sciences

Organization

Massachusetts Institute of Technology

Source

Original Publication Date

June 18, 2018

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