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Visualization and Analysis of Multidimensional Cardiovascular Magnetic Resonance Imaging: Challenges and Opportunities.
Axel, Leon; Phan, Timothy S; Metaxas, Dimitris N.
Affiliation
  • Axel L; Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States.
  • Phan TS; Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States.
  • Metaxas DN; Department of Computer Science, Rutgers University, Piscataway, NJ, United States.
Front Cardiovasc Med ; 9: 919810, 2022.
Article in En | MEDLINE | ID: mdl-35859582
ABSTRACT
Recent advances in magnetic resonance imaging are enabling the efficient creation of high-dimensional, multiparametric images, containing a wealth of potential information about the structure and function of many organs, including the cardiovascular system. However, the sizes of these rich data sets are so large that they are outstripping our ability to adequately visualize and analyze them, thus limiting their clinical impact. While there are some intrinsic limitations of human perception and of conventional display devices which hamper our ability to effectively use these data, newer computational methods for handling the data may aid our ability to extract and visualize the salient components of these high-dimensional data sets.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Cardiovasc Med Year: 2022 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Cardiovasc Med Year: 2022 Document type: Article Affiliation country: United States