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TOPICAL COLLECTIONS

Imaging Methodologies for Studying Aortic Diseases

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Areck A. Ucuzian

Areck A. Ucuzian

University of Maryland School of Medicine, Department of Surgery, Division of Vascular Surgery Center for Vascular & Inflammatory Diseases; Baltimore VA Medical Center, Vascular Service Baltimore, MD 21201

Dr. Ucuzian is a vascular surgeon and scientist, Assistant Professor of Surgery at the University of Maryland School of Medicine, and staff surgeon at the Baltimore Veterans Administration Medical Center.  He received his Bachelor of Arts at Cornell University, his Medical Degree at Tufts University, and his PhD from Loyola University Chicago. He completed general and vascular surgery training at Loyola University Medical Center and the University of Pittsburgh Medical Center, respectively.  He received the Robert W. Hobson, II, MD Early Career Investigator Award from the Council on Peripheral Vascular Disease of the American Heart Association.  He is funded by an NIH K08 and SVS Foundation/American College of Surgeons Mentored Clinical Scientist Research Career Development Award.  His research focuses on the molecular dysregulation associated with thoracic aortic dissection and aneurysm formation (TAAD), and the effect of exercise in modulating TAAD pathogenesis and patient quality of life. 

Eleonora Tubaldi

Eleonora Tubaldi

University of Maryland, College Park, Department of Mechanical Engineering, Maryland Robotics Center

Dr. Tubaldi is an Assistant Professor in the Department of Mechanical Engineering at the University of Maryland, College Park and is a Faculty member of the Maryland Robotics Center. She received her PhD degree in Mechanical Engineering at McGill University (2017). Her research interests sit at the interface of computational modelling, fluid-structure interaction, and soft materials for applications in cardiovascular biomechanics, vascular prosthetics design, and soft robotics. In 2020, she has been awarded the Haythornthwaite Young Investigator Award by Robert M. and Mary Haythornthwaite Foundation and the ASME Applied Mechanics Division. She is author of several peer-reviewed international journal papers (J. of the Mechanical Behavior of Biomedical Materials, J. of Fluids and Structures, and Physical Review E among others). She serves as Associated Editor for Mechanics Based Design of Structures and Machines: An International Journal. She is a member of the ASME Dynamics & Control System & Structures Technical Committee.

Collection Overview

Aortic aneurysm and dissections account for approximately 10,000 deaths in the United States annually. These diseases are attributable to genetic and environmental factors which impact the biomechanical integrity of the aortic wall. Imaging techniques and computational analysis of aortic anatomy has become critical both for investigative research in the study aortic disease pathophysiology as well as for the treatment of patients. 

This Collection aims to compile detailed and precise descriptions of aortic imaging methodologies to assist aortic researchers in the study and understanding of aortic diseases. Acceptable methodologies can range from sub-cellular and histologic, to whole organ and organism imaging techniques. Both animal and human studies are acceptable. Imaging modalities including, but not limited to, microscopy, computed tomography, ultrasound, and magnetic resonance imaging will be considered. Contributions detailing image analysis techniques for the purposes of modeling and understanding fluid dynamics are encouraged. Submissions focusing on vessels other than the aorta will be considered, provided the authors demonstrate how their methodology can be applied to further aortic research.

Articles

Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance <em>via</em> 2D-3D Fusion-Imaging
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Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging

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Cited by 2

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2021

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Abstracts

Dynamic, time-resolved CT imaging to characterize Aortic endoleak type, inflow and to provide image guidance during treatment.

Su Min Chang1,

Alan B. Lumsden2,

Marton Berczeli*3,

Ponraj Chinnadurai4

1Department of Cardiology, Houston Methodist Hospital,

2Dept of Cardiovascular Surgery, Houston Methodist Hospital,

3Dept. of Cardiovascular Surgery, Houston Methodist Hospital and Dept. of Vascular and Endovascular Surgery, Semmelweis University,

4Dept of Cardiovascular Surgery, Houston Methodist Hospital and Advanced Therapies, Siemens Medical Solutions

Transcranial doppler monitoring during TAVR & TEVAR

Kavya Sinha*1

1Houston Methodist Hospital