15 citations · 21 across the 9 of their papers we have counts for
10 papers
Distortion-Free High-Resolution PROPELLER-DWI: Technical Advances and Initial Demonstration for the Prostate
Jingjia Chen, Kun Zhou, Haoyang Pei +7
Purpose: To develop and evaluate an integrated acquisition and reconstruction framework for distortion-free, high-resolution prostate diffusion-weighted imaging (DWI). Methods: PRO…
B1+ mapping near metallic implants using turbo spin echo pulse sequences
Iman Khodarahmi, Mary Bruno, Ran Schwarzkopf +2
Purpose: To propose a B1+ mapping technique for imaging of body parts containing metal hardware, based on magnitude images acquired with turbo spin echo (TSE) pulse sequences. Theo…
Universal Sampling Denoising (USD) for noise mapping and noise removal of non-Cartesian MRI
Hong-Hsi Lee, Mahesh Bharath Keerthivasan, Gregory Lemberskiy +3
Random matrix theory (RMT) combined with principal component analysis has resulted in a widely used MPPCA noise mapping and denoising algorithm, that utilizes the redundancy in mul…
FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging
Radhika Tibrewala, Tarun Dutt, Angela Tong +8
The fastMRI brain and knee dataset has enabled significant advances in exploring reconstruction methods for improving speed and image quality for Magnetic Resonance Imaging (MRI) v…
Optimizing Variable Flip-Angles in Magnetization-Prepared Gradient Echo Sequences for Efficient 3D-T1rho Mapping
Marcelo V W Zibetti, Hector L. De Moura, Mahesh B. Keerthivasan +1
Purpose: To optimize the choice of the flip-angles of magnetization-prepared gradient echo (MP-GRE) sequences for improved accuracy, precision, and speed of 3D-T1rho mapping. Metho…
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…
A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images
Lavanya Umapathy, Mahesh Bharath Keerthivasan, Jean-Phillipe Galons +4
Motion-robust 2D Radial Turbo Spin Echo (RADTSE) pulse sequence can provide a high-resolution composite image, T2-weighted images at multiple echo times (TEs), and a quantitative T…
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…
Quantitative T2 Estimation Using Radial Turbo Spin Echo Imaging
Mahesh B Keerthivasan, Ali Bilgin, Maria I Altbach
There has been increased interest in the quantitative characterization of tissues based on T2 in abdominal imaging. Techniques based on spin-echo or turbo spin-echo sequences are t…
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…