Ning L, Setsompop K, Michailovich O, Makris N, Westin CF, Rathi Y Inf Process Med Imaging 2015;24:57-68 PMID: 26221667 Abstract We present an innovative framework for reconstructing high-spatial-resolution diffusion magnetic resonance imaging (dMRI) from multiple low-resolution (LR) images. Our approach combines the twin concepts of compressed sensing (CS) and classical… read more →
Ning L, Laun F, Gur Y, DiBella EV, Deslauriers-Gauthier S, Megherbi T, Ghosh A, Zucchelli M, Menegaz G, Fick R, St-Jean S, Paquette M, Aranda R, Descoteaux M, Deriche R, O’Donnell L, Rathi Y Med Image Anal 2015 Dec;26(1):316-31 PMID: 26606457 Abstract Diffusion magnetic resonance imaging (dMRI) is the modality… read more →
Feng Y, Wu Y, Rathi Y, Westin CF Artif Intell Med 2015 Nov;65(3):229-38 PMID: 26428956 Abstract PURPOSE: Higher order tensor (HOT) imaging approaches based on the spherical deconvolution framework have attracted much interest for their effectiveness in estimating fiber orientation distribution (FOD). However, sparse regularization techniques are still needed to… read more →
Ning L, Westin CF, Rathi Y IEEE Trans Med Imaging 2015 Oct;34(10):2058-78 PMID: 25838518 Abstract The ensemble average diffusion propagator (EAP) obtained from diffusion MRI (dMRI) data captures important structural properties of the underlying tissue. As such, it is imperative to derive an accurate estimate of the EAP from the… read more →
Rathi Y, Michailovich O, Setsompop K, Bouix S, Shenton ME, Westin CF Med Image Comput Comput Assist Interv 2011;14(Pt 2):58-65 PMID: 21995013 Abstract Diffusion magnetic resonance imaging (dMRI) is an important tool that allows non-invasive investigation of neural architecture of the brain. The data obtained from these in-vivo scans provides… read more →
Rathi Y, Gagoski B, Setsompop K, Michailovich O, Grant PE, Westin CF Med Image Comput Comput Assist Interv 2013;16(Pt 3):510-7 PMID: 24505800 Abstract Estimation of the diffusion propagator from a sparse set of diffusion MRI (dMRI) measurements is a field of active research. Sparse reconstruction methods propose to reduce scan… read more →
Michailovich O, Rathi Y Med Image Comput Comput Assist Interv 2010;13(Pt 1):607-14 PMID: 20879281 Abstract A spectrum of brain-related disorders are nowadays known to manifest themselves in degradation of the integrity and connectivity of neural tracts in the white matter of the brain. Such damage tends to affect the pattern… read more →
Michailovich O, Rathi Y, Dolui S IEEE Trans Med Imaging 2011 May;30(5):1100-15 PMID: 21536524 Abstract Despite the relative recency of its inception, the theory of compressive sampling (aka compressed sensing) (CS) has already revolutionized multiple areas of applied sciences, a particularly important instance of which is medical imaging. Specifically, the… read more →
Rathi Y, Michailovich O, Laun F, Setsompop K, Grant PE, Westin CF Med Image Anal 2014 Oct;18(7):1143-56 PMID: 25047866 Abstract For accurate estimation of the ensemble average diffusion propagator (EAP), traditional multi-shell diffusion imaging (MSDI) approaches require acquisition of diffusion signals for a range of b-values. However, this makes the… read more →
Michailovich O, Rathi Y IEEE Trans Image Process 2010 Feb;19(2):461-77 PMID: 19887312 Abstract Visualization and analysis of the micro-architecture of brain parenchyma by means of magnetic resonance imaging is nowadays believed to be one of the most powerful tools used for the assessment of various cerebral conditions as well as… read more →
