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Volume 18 Supplement 1

19th Annual SCMR Scientific Sessions

  • Poster presentation
  • Open Access

Extracellular volume fraction mapping at 3T with non-rigid image co-registration

  • 1,
  • 1, 2,
  • 3,
  • 1,
  • 1,
  • 1, 4,
  • 1, 5,
  • 1 and
  • 2
Journal of Cardiovascular Magnetic Resonance201618 (Suppl 1) :P32

https://doi.org/10.1186/1532-429X-18-S1-P32

  • Published:

Keywords

  • Cardiovascular Magnetic Resonance
  • Hypertrophic Cardiomyopathy
  • Motion Correction
  • Diffuse Fibrosis
  • Chronic Myocardial Infarction

Background

MOLLI-based T1-mapping is a robust method for myocardial tissue characterization. Extracellular volume fraction (ECV), a marker of diffuse fibrosis, requires pre- and post-contrast T1 values. However, ECV mapping is not widely available because of complexities in motion correction and image co-registration. Here, we demonstrated ECV mapping using a novel approach for motion compensation at 3T.

Methods

All patients underwent cardiovascular magnetic resonance (CMR) on a 3T system (Philips Ingenia). T1 maps were acquired in the basal and mid-cavity short-axis level, pre- and 20-min post-contrast (Gadovist 0.1 mmol/kg) with a 5s(3s)3s and 4s(1s)3s(1s)2s MOLLI acquisition scheme, respectively. A modified non-rigid, non-parametric registration method consisting of elastic registration steps was applied to generate motion-corrected T1 maps and subsequent ECV maps [1]. T1 error maps and overlay images were used as an indication for quality control. Global ECV values were expressed as mean+/-standard deviation (SD).

Results

A total of 33 ECV maps were obtained in 18 patients (mean age 47+/-19 years, 12 males): 10 with chronic myocardial infarction and 8 with dilated and hypertrophic cardiomyopathies. 28 cases (85%) demonstrated clear improvement in image quality after motion correction and co-registration. Two examples are shown in Figures 1 and 2. Global ECV values in the patients with myocardial infarction and cardiomyopathies were 34.9+/-4.9% and 36.4+/-6.0%, respectively.
Figure 1
Figure 1

Native myocardial T1 map without (left) and with (right) motion correction at 3T. Arrows indicate motion misalignment that was corrected by the proposed approach.

Figure 2
Figure 2

Myocardial extracellular volume fraction (ECV) map without (left) and with (right) co-registration. Arrows indicate motion misalignment that was corrected by the proposed approach.

Conclusions

Automated motion correction and co-registration improved the quality of T1 and ECV maps at 3T, making ECV mapping feasible for clinical application.

Authors’ Affiliations

(1)
National Heart Centre, Singapore, Singapore
(2)
Philips Healthcare, Singapore, Singapore
(3)
Philips Research, Hamburg, Germany
(4)
University College London, London, UK
(5)
Imperial College London, London, UK

References

  1. Kabus : WBIR. 2010Google Scholar

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