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.
Visit our research page to learn more about ongoing projects.
Oct 22 2019 – Congratulations to Phil Novosad for his paper – “Accurate and robust segmentation of neuroanatomy in T1-weighted MRI by combining spatial priors with deep convolutional neural networks“, published in Human Brain Mapping.
Sept 6 2019 – Even more positions open in the NIST lab:
- 1 RA position in image-guided neurosurgery
- 1 software programmer/analyst position to support NIST lab research
Aug 19 2019 – New positions open in the NIST lab:
- Postdoctoral positions
- 2 Postdoctoral fellowships in image-guided surgery for brain and spine
- 2 Postdoctoral fellowships in MRI analysis for prediction of cognitive decline in subjective cognitive complaint and in mild cognitive impairment
- 2 Postdoctoral fellowships in MRI analysis for prediction of clinical progression in progressive multiple sclerosis
- PhD positions
- 2 PhD positions in MRI analysis for prediction of cognitive decline
- 2 PhD positions in image-guided surgery for brain and spine
July 2019 – CIHR operating grant awarded.
The NIST lab was awarded a 5y CIHR operating grant for “Individualized prognosis and prediction of cognitive decline in cognitively normal individuals at risk of AD and in individuals with mild cognitive impairment”
Spring 2019 – Some new publications from my students!
- Toward real-time rigid registration of intra-operative ultrasound with preoperative CT images for lumbar spinal fusion surgery.
Gueziri HE, Drouin S, Yan CXB, Collins DL. Int J Comput Assist Radiol Surg. 2019
- HIV infection and cerebral small vessel disease are independently associated with brain atrophy and cognitive impairment.
Sanford R, Strain J, Dadar M, Maranzano J, Bonnet A, Mayo NE, Scott SC, Fellows LK, Ances BM, Collins DL. AIDS. 2019 Jun 1;33(7):1197-1205
- Two novel PET image restoration methods guided by PET-MR kernels: Application to brain imaging.
Tahaei MS, Reader AJ, Collins DL. Med Phys. 2019 May;46(5):2085-2102
- White matter in different regions evolves differently during progression to dementia.
Dadar M, Maranzano J, Ducharme S, Collins DL; Alzheimer’s Disease Neuroimaging Initiative. Neurobiol Aging. 2019 Apr;76:71-79