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Deep Learning: the future of ultrasound

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My current project deals with bringing perception to ultrasound devices. I work on the application of deep learning to medical imaging. Sounds interesting? drop me a line!

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Deep Learning: the future of ultrasound

  1. 1. PERSEUS PERCEPTIVE ULTRASOUND Diego Cantor, PhD. dcantor@robarts.ca
  2. 2. The goal of PERSEUS is to enhance ultrasound scanners with perceptive capabilities. After Earth, 2013In the future, portable medical devices will understand the information contained in medical images. Their perception will be a tool that will serve doctors and healthcare practitioners.
  3. 3. First responders will use perceptive ultrasound to better understand and react to trauma situations. Wounded soldiers in the battlefield Immediate evaluation of sport injuries Remote locations like this clinic in Tanzania
  4. 4. Our prototype uses a convolutional neural network to recognize four anatomic features in ultrasound images of the spine. Spinous Process Lamina Facet Joint Transverse Process
  5. 5. US frames are acquired in real time and a CNN identifies anatomic features. US Scanner Frame Grabber Object Search Patch Extraction Normalization CNN classification Visualization Ultrasound Computer True North Chip Graphical User Interface
  6. 6. Images are acquired from spine phantoms and features are identified by expert users. http://plexo.link
  7. 7. The dataset is then curated and augmented
  8. 8. Results are promising with a 93.6% accuracy in our dataset Spinous Process Transverse Process Lamina Facet Joint Spinous Process 32 0 1 0 Transverse Process 0 83 2 4 Lamina 0 1 43 3 Facet Joint 0 0 2 32 REAL PREDICTED
  9. 9. This diagram shows the different stages in the convolutional network for the classification of a Facet Joint.
  10. 10. Similarly, here we can see the correct classification of lamina.
  11. 11. Spinous process,…
  12. 12. … and transverse process.
  13. 13. Next steps: object search, streaming, on chip testing US Scanner Frame Grabber Object Search Patch Extraction Normalization CNN classification Visualization Ultrasound Computer True North Chip Graphical User Interface

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