Accelerated Real-time Cine and Flow under In-magnet Staged Exercise

no code implementations • 27 Feb 2024 • Preethi Chandrasekaran, Chong Chen, Yingmin Liu, Syed Murtaza Arshad, Christopher Crabtree, Matthew Tong, Yuchi Han, Rizwan Ahmad

Conclusions: The study demonstrates that RT ExCMR with in-magnet exercise is a feasible and effective method for dynamic cardiac function monitoring during exercise.

Cardiac and respiratory motion extraction for MRI using Pilot Tone-a patient study

no code implementations • 31 Jan 2022 • Chong Chen, Yingmin Liu, Orlando P. Simonetti, Matthew Tong, Ning Jin, Mario Bacher, Peter Speier, Rizwan Ahmad

Purpose: We seek to evaluate the accuracy and reliability of the cardiac and respiratory signals extracted from PT in patients clinically referred for cardiovascular MRI with the image-derived signals as the reference.

Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development

1 code implementation • 15 Sep 2020 • Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi

We report deep learning experiments that utilize the attention maps produced by eye gaze dataset to show the potential utility of this data.

Multimodal Deep Learning

Fully Self-Gated Whole-Heart 4D Flow Imaging from a Five-Minute Scan

no code implementations • 19 Apr 2020 • Aaron Pruitt, Adam Rich, Yingmin Liu, Ning Jin, Lee Potter, Matthew Tong, Saurabh Rajpal, Orlando Simonetti, Rizwan Ahmad

ReVEAL4D is validated using data from eight healthy volunteers and two patients and compared with a compressed sensing technique, L1-SENSE.