Fractal frontiers in cardiovascular magnetic resonance: towards clinical implementation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Gabriella Captur, Audrey L. Karperien, Chunming Li, Filip Zemrak, Catalina Tobon-Gomez, Xuexin Gao, David A. Bluemke, Perry M. Elliott, Steffen E. Petersen, James C. Moon

ABSTRACT

Many of the structures and parameters that are detected, measured and reported in cardiovascular magnetic resonance (CMR) have at least some properties that are fractal, meaning complex and self-similar at different scales. To date however, there has been little use of fractal geometry in CMR; by comparison, many more applications of fractal analysis have been published in MR imaging of the brain.This review explains the fundamental principles of fractal geometry, places the fractal dimension into a meaningful context within the realms of Euclidean and topological space, and defines its role in digital image processing. It summarises the basic mathematics, highlights strengths and potential limitations of its application to biomedical imaging, shows key current examples and suggests a simple route for its successful clinical implementation by the CMR community.By simplifying some of the more abstract concepts of deterministic fractals, this review invites CMR scientists (clinicians, technologists, physicists) to experiment with fractal analysis as a means of developing the next generation of intelligent quantitative cardiac imaging tools. More... »

PAGES

80

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12968-015-0179-0

DOI

http://dx.doi.org/10.1186/s12968-015-0179-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023471117

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26346700


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12968-015-0179-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12968-015-0179-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12968-015-0179-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12968-015-0179-0'


 

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