In the NIST lab we develop computer vision image processing algorithms for analysis of medical images that are focused on registration and segmentation. These techniques are applied to different research projects that include:
  • image guided neurosurgery
  • disease diagnosis, and
  • prognosis and quantification for diseases such as multiple sclerosis, epilepsy, schizophrenia and degenerative diseases such as Alzheimer’s dementia.

Congrats to Pulkit Khandelwal for his paper using using geometric flows and shape priors to segment the spine and individual vertebrae from CT images. From a great ongoing collaboration with Kaleem Siddiqi. https://www.frontiersin.org/articles/10.3389/fcomp.2021.592296/full

The NIST lab is pleased to announce that Daniel Andrews has received a Frederick Banting and Charles Best Canada Graduate Scholarship for his PhD and @CassMorrison01 has received a CIHR postgraduate fellowship. Congratulations to them both!!

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