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Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges

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Recently, there has been considerable progress in cardiac image analysis techniques,
cardiac atlases, and computational models, which can integrate data from large-scale
databases of heart shape, function, and physiology. Integrative models of cardiac function are important for understanding disease, evaluating treatment, and planning intervention. However, significant clinical translation of these tools is constrained by the lack
of complete and rigorous technical and clinical validation, as well as benchmarking of
the developed tools. For doing so, common and available ground-truth data capturing
generic knowledge on the healthy and pathological heart is required. This knowledge
can be acquired through the building of statistical models of the heart. Several efforts are
now established to provide web-accessible structural and functional atlases of the normal and pathological heart for clinical, research, and educational purposes. We believe
all these approaches will only be effectively developed through collaboration across the
full research scope of the imaging and modelling communities

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Detail Information

Series Title

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Call Number

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Publisher

London : Springer., 2015

Collation

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Language

English

ISBN/ISSN

978-3-319-14678-2

Classification

NONE

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Statistics

Specific Detail Info

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Statement of Responsibility

Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, Alistair Young

Other Information

Cataloger

Jemadi

Source

https://link.springer.com/content/pdf/10.1007/978-3-319-14678-2.pdf?pdf=button

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