New Imaging Frontiers in Cardiology: Fast and Quantitative Maps from Raw Data

Title:New Imaging Frontiers in Cardiology: Fast and Quantitative Maps from Raw Data

Volume: 23 Issue: 22

Author(s): Maria Filomena Santarelli*, Nicola Vanello, Michele Scipioni, Giuseppe Valvano and Luigi Landini

Affiliation:

• CNR Institute of Clinical Physiology, Pisa,Italy

Keywords: Magnetic resonance imaging, emission tomography, dynamic imaging, parametric maps, kinetic parameters, cardiac BOLD, cardiac fiber tracking, 4D flow MRI.

Abstract: Background: Among the novelties in the field of cardiovascular imaging, the construction of quantitative maps in a fast and efficient way is one of the most interesting aspects of the clinical research. Quantitative parametric maps are typically obtained by post processing dynamic images, that is, sets of images usually acquired in different temporal intervals, where several images with different contrasts are obtained. Magnetic resonance imaging, and emission tomography (positron emission and single photon emission) are the imaging techniques best suited for the formation of quantitative maps.

Methods: In this review article we present several methods that can be used for obtaining parametric maps, in a fast way, starting from the acquired raw data. We describe both methods commonly used in clinical research, and more innovative methods that build maps directly from the raw data, without going through the image reconstruction.

Results: We briefly described recently developed methods in magnetic resonance imaging that accelerate further the MR raw data generation, based on appropriate sub-sampling of k-space; then, we described recently developed methods for generating MR parametric maps. With regard to the emission tomography techniques, we gave an overview of both conventional methods, and more recently developed direct estimation algorithms for parametric image reconstruction from dynamic positron emission tomography data.

Conclusion: We have provided an overview of the possible approaches that can be followed to realize useful parametric maps from imaging raw data. We moved from the conventional approaches to more recent and efficient methods for accelerating the raw data generation and the of parametric maps formation.

Cite this article as:

Santarelli Filomena Maria *, Vanello Nicola , Scipioni Michele , Valvano Giuseppe and Landini Luigi , New Imaging Frontiers in Cardiology: Fast and Quantitative Maps from Raw Data, Current Pharmaceutical Design 2017; 23 (22) . https://dx.doi.org/10.2174/1381612823666170328143348

DOI https://dx.doi.org/10.2174/1381612823666170328143348	Print ISSN 1381-6128
Publisher Name Bentham Science Publisher	Online ISSN 1873-4286