Advertisement

A segmented modified look-locker inversion recovery (MOLLI) sequence for high heart rate T1 mapping of mice

  • Maryam Nezafat
  • Markus Henningsson
  • Christian Stehning
  • Mehmet Akcakaya
  • Andrea Protti
  • Rene Botnar
Open Access
Poster presentation

Keywords

High Heart Rate Inversion Pulse Mouse Imaging British Heart Foundation Myocardial Tissue Characterization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Background

Quantitative T1 mapping provides myocardial tissue characterization for assessment of various cardiomyopathies. The Modified Look-locker (MOLLI) sequence is widely used for mapping the T1quantification, where multiple single-shot images are acquired along the T1 recovery curve after an inversion pulse. However, single-shot imaging becomes infeasible for mouse imaging at high heart rates due to motion artifacts and requirements of resolution/coverage. Additionally, typical MOLLI sampling schemes [1] (3-3-5) and the pauses between blocks have to be adapted to the high heart rates in mice. In this work, we propose a segmented acquisition scheme for T1 mapping of mouse at high heart rates. After an initial inversion pulse we acquire segments for 20 images in subsequent heartbeats followed by 20 pause heartbeats to allow for full magnetization recovery. The complete k-space is acquired in this fashion over 5 segments per image. Experiments were performed with a T1 phantom by simulating high heart rates to evaluate the accuracy of the proposed sequence. Proof of concept T1 maps were also acquired in one healthy mouse.

Methods

The proposed pulse sequence scheme is illustrated in Figure 1, which consists of a segmented ECG-triggered MOLLI sequence with 20 acquisitions and 20 pauses, which were adapted to the high heart rates. Imaging was performed on a 1.5T Philips Achieva (Philips, Best, The Netherlands) scanner using a 32-element cardiac coil. The phantom consists of 14 vials with T1 values ranging from 200 to 1500ms. Data acquisition consisted of a SSFP sequence with the following parameters: TR=2.6 ms, TE=1.3 ms, flip angle=20°, in-plane resolution= 2×2 mm2, FOV=210×137 mm2. A simulated ECG signal with heart rates of 60, 100, 250, 300 and 400bpm was used. For reference, an inversion recovery spin-echo sequence with 16 different inversion times between 50 and 3000 were used. In vivo mouse imaging was also performed to demonstrate the feasibility of the sequence.
Figure 1

segmented ECG trigger MOLLI sequence with 20 acquisitions and 20 pauses. Images were acquired with end-diastole trigger delay. The T1 mapping was performed online.

Results

Figure 2A shows the measured T1 with the spin echo and the segmented MOLLI technique for a heart rate of 300bpm. The proposed sequence underestimated T1 with respect to the spin echo (p=0.3), but the difference was non-significant. For short T1 the relative difference between the reference and segmented MOLLI is 0.5-4.1 % and for long T1 it is 7.1-10. % for a heart rate of 300bpm. Figure 2B shows results of vials with short, intermediate and long T1 values that were determined with both methods. For higher heart rates the relative difference between the proposed method and reference was relatively small (p=0.3). Figure 2C is a representative in-vivo T1 map image in a mouse acquired with a heart rate of 310bpm.
Figure 2

A) Regression analysis of the MOLLI for heart rate of 300bpm and flip angle 20°. B) T1 time of 3 vials of the phantom calculated with SE and MOLLI at various heart rates. The measured T1 shows an underestimation, which is less pronounced at high rates (R2 > 0.8). C) T1 map. The measured T1 of the myocardium is 792.9 ± 95.1.

Conclusions

We demonstrate the feasibility of T1 mapping for high heart rates observed in mice. The proposed segmented MOLLI sequence provides accurate T1 estimates for short T1 values, while an underestimation is observed for higher T1 values, as typical of MOLLI.

Funding

British Heart Foundation : RG/12/1/29262.

References

  1. 1.
    Messroghli : Radiology. 2011Google Scholar

Copyright information

© Nezafat et al; licensee BioMed Central Ltd. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • Maryam Nezafat
    • 1
    • 3
  • Markus Henningsson
    • 1
  • Christian Stehning
    • 2
  • Mehmet Akcakaya
    • 3
  • Andrea Protti
    • 1
  • Rene Botnar
    • 1
  1. 1.Kings college LondonLondonUK
  2. 2.Philips ResearchHamburgGermany
  3. 3.Medicine, Beth Israel Deaconess Medical Centre an Harvard Medical SchoolBostonUSA

Personalised recommendations