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Parametric Imaging for the Assessment of Cardiac Motion: A Review

Cardiovascular Engineering and Technology volume 9, pages 377–393 (2018)Cite this article

Abstract

The assessment of wall motion abnormalities such as hypokinesia or dyskinesia and the identification of their extent as well as their degree of severity allow an accurate evaluation of several ischemic heart diseases and an early diagnosis of heart failure. These dysfunctions are usually revealed by a drop of contraction indicating a regional hypokinesia or a total absence of the wall motion in case of akinesia. The discrimination between these contraction abnormalities plays also a significant role in the therapeutic decision through the differentiation between the infarcted zones, which have lost their contractile function, and the stunned areas that still retain viable myocardial tissues. The lack of a reliable method for the evaluation of wall motion abnormalities in cardiac imaging presents a major limitation for a regional assessment of the left ventricular function. In the past years, several techniques were proposed as additional tools for the local detection of wall motion deformation. Among these approaches, the parametric imaging is likely to represent a promising technique for the analysis of a local contractile function. The aim of this paper is to review the most recent techniques of parametric imaging computation developed in cardiac imaging and their potential contributions in clinical practice.

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Figure 1
Figure 2
Figure 3
Figure 4

Part of this figure is modified, with permission, from Ref. 8.

Figure 5

Part of this figure is modified, with permission, from Ref. 8.

Figure 6

Modified from a figure previously published in Ref. 10 with permission of Springer Nature publications, 2017.

Abbreviations

A:

Anterior

AHA:

American Heart Association

AL:

Anterolateral

AS:

Anteroseptal

CMRI:

Cardiac magnetic resonance imaging

EDV:

End diastolic volume

ESV:

End systolic volume

FAMIS:

Factor Analysis of medical image sequences

I:

Inferior

IL:

Inferolateral

IS:

Inferoseptal

LBBB:

Left bundle branch block

LL:

Look-locker

LV:

Left ventricular

LVEF:

Left ventricular ejection fraction

MOLLI:

Modified look-locker inversion recovery

PAMM:

Parametric analysis of main motion

PET:

Positron emission tomography

RFAC:

Regional fractional area change

SHASHA:

Saturation recovery single-shot acquisition

SHMOLLI:

Shortened modified look-locker inversion recovery

SPECT:

Single photon emission computed tomography

SV:

Stroke volume

WPW:

Wolff Parkinson White

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Affiliations

  1. Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technologies of Tunis, University of Tunis El Manar, 1006, Tunis, Tunisia

    Narjes Benameur & Tarek Kraiem

  2. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

    Enrico Gianluca Caiani

  3. Military Hospital of Instruction of Tunis, Tunis, Tunisia

    Younes Arous & Nejmeddine Ben Abdallah

  4. Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia

    Younes Arous, Nejmeddine Ben Abdallah & Tarek Kraiem

Authors
  1. Narjes Benameur
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  2. Enrico Gianluca Caiani
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  3. Younes Arous
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  4. Nejmeddine Ben Abdallah
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  5. Tarek Kraiem
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Correspondence to Narjes Benameur.

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Associate Editors Zhongjun Wu and Ajit P. Yoganathan oversaw the review of this article.

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Benameur, N., Caiani, E.G., Arous, Y. et al. Parametric Imaging for the Assessment of Cardiac Motion: A Review. Cardiovasc Eng Tech 9, 377–393 (2018). https://doi.org/10.1007/s13239-018-0362-1

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  • DOI: https://doi.org/10.1007/s13239-018-0362-1

Keywords

  • Parametric imaging
  • Quantification
  • Cardiac imaging
  • Wall motion abnormalities