Editorial: Novel methods to advance diagnostic and treatment value of medical imaging for cardiovascular disease
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Author(s) • • • •
Keshavarz-Motamed, Zahra
Del Alamo, Juan C
Bluestein, Danny
Edelman, Elazer R
Wentzel, Jolanda J
Date Issued
August 30, 2022
Journal
Frontiers in Bioengineering and Biotechnology
Publisher
Frontiers Media SA
Citation
Keshavarz-Motamed Z, Del Alamo JC, Bluestein D, Edelman ER and Wentzel JJ (2022) Editorial: Novel methods to advance diagnostic and treatment value of medical imaging for cardiovascular disease. Front. Bioeng. Biotechnol. 10:987326.
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Final published version
Abstract
The use of medical imaging has substantially increased over the past decade, thanks to the technological advancements evident from the dramatic improvement in the sensitivity and spatial resolution of imaging modalities. Cardiovascular imaging has been at a crossroads regarding technological advances, with a shift in focus from single-modality diagnosis to an integrated multimodality approach that can provide comprehensive assessments of morphology, pathophysiology, and disease biology to stratify the patient risk and guide therapies. The wide inter-subject variability in cardiovascular anatomy and pathophysiology urges the design of personalized patient management, which can highly benefit from clinical imaging technologies. The remarkable advances in medical imaging have sparked the development of new image processing algorithms and image-based simulation tools. In addition to providing comprehensive diagnostic information, some tools can even predict intervention outcomes, thereby enabling personalized intervention planning. This Research Topic, Novel Methods to Advance Diagnostic and Treatment Value of Medical Imaging for Cardiovascular Disease, focuses on tools that augment the power of medical imaging to provide detailed quantification of cardiovascular disease. Here, we present a Research Topic of 21 research articles that provide the reader with information regarding recent advancements in medical imaging improving diagnosis, prediction, monitoring, and treatment of cardiovascular disease.
MIT Department
Institute for Medical Engineering and Science
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DOI of Published Version
https://doi.org/10.3389/fbioe.2022.987326