Dr. Aganj’s research objectives are focused on developing new medical image analysis techniques and improving existing ones so researchers and clinicians can extract the maximal amount of useful information from the images they acquire, with the goal of improving human health. These efforts range from deriving mathematical formulae via signal processing approaches to designing robust algorithms, all with the long-term goal of helping alleviate patients’ suffering from disease.
His research interests include medical image registration and segmentation, diffusion MR image reconstruction and analysis, and brain connectivity quantification.
PhD in Electrical Engineering, University of Minnesota
1. Frau-Pascual A, Fogarty M, Fischl B, Yendiki A, Aganj I, Alzheimer’s Disease Neuroimaging I. Quantification of structural brain connectivity via a conductance model. Neuroimage. 2019;189:485-96.
2. Aganj I, Iglesias JE, Reuter M, Sabuncu MR, Fischl B. Mid-space-independent deformable image registration. Neuroimage. 2017;152:158-70.
3. Aganj I, Lenglet C, Sapiro G, Yacoub E, Ugurbil K, Harel N. Reconstruction of the orientation distribution function in single- and multiple-shell q-ball imaging within constant solid angle. Magn Reson Med. 2010;64(2):554-66.
2016: Alzheimer’s Disease Research Award, BrightFocus Foundation
2015: Mentored Research Scientist Development (K01) Award, National Institutes of Health / National Institute of Diabetes and Digestive and Kidney Diseases
2014: Neurodegenerative Diseases Pilot Study Grant, Massachusetts Alzheimer’s Disease Research Center (ADRC)