CPI Lab

The CPI lab aims to develop and translate novel MRI techniques for cardiopulmonary MRI for patients with congenital and acquired heart diseases. The research involves different aspects of MRI, including image acquisition and reconstruction, post-processing, quantitative image analysis, pre-clinical investigation, and clinical translation and evaluation.

Meet the Principal Investigator

Dr. Qing Zou is a tenure-track Assistant Professor in the Division of Pediatric Cardiology, Department of Pediatrics at the University of Texas Southwestern Medical Center. He also holds secondary appointments in the Department of Radiology, and Advanced Imaging Research Center (AIRC). He obtained my Ph.D. in the Applied Mathematics and Computational Sciences (AMCS) program in the Graduate College of the University of Iowa.

Dr. Zou's research interests include:

1. Unsupervised learning for cardiac MRI processing: Using deep generative models for solving inverse problems arising in MRI processing, especially cardiac MRI processing. 

2. Pulse sequences development for cardiopulmonary MRI: Development of sequences for cardiopulmonary MRI.  

3. Theoretical machine learning for MRI: Studying the interface between machine learning and applied mathematics with specific application to cardiopulmonary MRI. Understanding the theoretical aspects of deep learning for MRI processing.

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3D cardiopulmonary MRI using UTE sequence

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Time-resolved 3D pulmonary MRI using unsupervised learning

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Multi-contrast cardiac MRI in a single acquisition

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Auto-alignment of multi-slice cardiac MRI using variational autoencoder

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Time-resolved cardiac MRI reconstruction using deep learning

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