collaborators

5 papers

cs.LG2020

A Contrast Synthesized Thalamic Nuclei Segmentation Scheme using Convolutional Neural Networks

Lavanya Umapathy, Mahesh Bharath Keerthivasan, Natalie M. Zahr +2

Thalamic nuclei have been implicated in several neurological diseases. WMn-MPRAGE images have been shown to provide better intra-thalamic nuclear contrast compared to conventional…

eess.IV2020

Fast automatic segmentation of thalamic nuclei from MP2RAGE acquisition at 7 Tesla

Ritobrato Datta, Micky K. Bacchus, Dushyant Kumar +6

Purpose: Thalamic nuclei are largely invisible in conventional MRI due to poor contrast. Thalamus Optimized Multi-Atlas Segmentation (THOMAS) provides automatic segmentation of 12…

eess.IV2019

A systematic comparison of structural, structural connectivity, and functional connectivity based thalamus parcellation techniques

Charles Iglehart, Martin Monti, Joshua Cain +2

The thalamus consists of several histologically and functionally distinct nuclei increasingly implicated in brain pathology and important for treatment, motivating the need for dev…

eess.IV2019

Automated Thalamic Nuclei Segmentation Using Multi-Planar Cascaded Convolutional Neural Networks

Mohammad S Majdi, Mahesh B Keerthivasan, Brian K Rutt +3

A cascaded multi-planar scheme with a modified residual U-Net architecture was used to segment thalamic nuclei on conventional and white-matter-nulled (WMn) magnetization prepared…

physics.med-ph2019

T2-weighted Spine Imaging using a Single-Shot Turbo Spin Echo Pulse Sequence

Mahesh Bharath Keerthivasan, Blair Winegar, Jennifer L Becker +1

T2 weighted imaging of the spine is commonly performed using fast spin echo (FSE/TSE) based sequences, resulting in long scan times and vulnerability to motion artifacts. While sin…