Iida Räty1, Antti Paajanen2, Mikko Nissi2, Sanna Kettunen1, Anna-Kaisa Ruotsalainen1, Svetlana Laidinen1, Seppo Ylä-Herttuala1, and Elias Ylä-Herttuala1
1A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland, 2Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
Synopsis
Keywords: Myocardium, Quantitative Imaging, Ex vivo applications, High field MRI, Small animals, Ischemia, Preclinical imaging
Motivation: Conventional CMR techniques have many limitations, such as slowness and inability to provide contrast-agent free 3-D assessments of myocardium in the cardiac diseases.
Goal(s): The aim of this study is to develop a faster, high-resolution 3-D CMR imaging method for quantitative imaging of the myocardium after myocardial infarction (MI).
Approach: Mice hearts were imaged ex vivo 7 days after the factitious MI by using an ultra-short echo time 3-D T1ρ technique (MB-SWIFT-CS).
Results: The T1ρ relaxation times were elevated in the infarct area. The findings were validated by 2-D CMR maps and histopathology to confirm ischemia, edema, and fibrosis in the myocardium.
Impact: This study presents a quantitative ultra short echo time 3-D CMR method for
ex vivo assessment of myocardium after factitious myocardial infarction in mice. The method allowed rapid
comprehensive 3-D myocardial evaluation by utilizing compressed sensing and relaxation
time mapping.
Introduction
According to World Health Organization (WHO), in 2017, nearly
19 million people died due to cardiovascular diseases1. Cardiac
magnetic resonance (CMR) is an important tool for the assessment of various
cardiac conditions, such as after myocardial infarction (MI). Gold stantard CMR
relies on quantitative multi-slice 2-D imaging2, with many
limitations, such as relatively thick slices and lengthy
acquisition. Thus, some small ischemia-induced changes might remain undetected.
Therefore, 3-D CMR mapping methods with isotropic resolution are urgently
needed. In this study, we present
quantitative, ultra-short echo time 3-D adiabatic T1ρ Multi-Band
SWeep Imaging with Fourier Transform3 and Compressed
Sensing4 (MB-SWIFT-CS) technique for accelerating imaging in MI mice hearts ex
vivo. Materials and Methods
The hearts of C57BL (n = 8) mice were collected 7 days
after Left Anterior Descending (LAD) Coronary Artery in Ligation, fixated 4%
PFA in PBS and imaged in Galden with adiabatic T1ρ weighted
MB-SWIFT-CS MRI.
For T1ρ determination, a train of
frequency-modulated adiabatic full-passage (AFP) preparation pulses were used as
presented earlier5. Eight 3-D MB-SWIFT images were acquired with spin-lock
durations of [0 4 8 12 16 20 24
28] ms, using magnetization preparation (MP) blocks with increasing
number (n = 0 to 7) of MLEV-4 phase cycled sets of 4 AFP pulses (HS1R10), with a
single pulse duration t180 of 1 ms. The other imaging parameters were TR 2.96 ms, flip
angle 3o, field of view 25 mm3 and matrix size 2563.
Eventually, altogether 6553 spokes per image were used in the CS image
reconstruction, corresponding to a total scan time of 3.4 min.For comparison, a single 1 mm thick
short axis slice was selected from lower mid level of the heart and imaged with
2-D FSE sequence with Hahn double echo T2 and adiabatic T1ρ -mapping methods. For
2-D measurements, 4 weighted images with FOV of 20mm2,
resolution 1922, RF pulse power of 1250 Hz and pulse
duration of 4.5 ms (T2) or 2 ms (HS4, T1ρ) were used.
Relaxation time maps were calculated using
monoexponential fitting with MATLAB
R2022b (MathWorks Inc., Natick, CA, USA) and Aedes (http://aedes.uef.fi). For region
of interest (ROI) analysis, damaged and remote areas were determined from 2-D T1ρ
and T2 relaxation time maps
and drawn to corresponding anatomical 3-D images, and subsequently used to
collect the T1ρ relaxation times. Standard histological processing
and paraffin embedding were used, with 4 μm thick sections cut from base to apex and stained
with Hematoxylin-Eosin and Sirius Red. Edema was studied by digitally quantifying
the empty extracellular space in the myocardium and comparing the percentage of
the septum edema area of the MI hearts to the septum of healthy hearts using Fiji
image processing software6. The stained sections were photographed using a Nikon Eclipse microscope
with a Ds-Ri2 camera (Nikon Instruments Europe BV).Results
T1ρ relaxation time values were elevated in the damaged areas
(p<0.05) (Fig. 1). The values in the myocardium were 17±1.8 ms (remote), 22±2.2
ms (edema), and 26±3.5
ms (fibrosis). Ischemic areas could also be observed visually in the 3-D T1ρ,
2-D T2 and T1ρ maps compared to remote areas (Fig. 2).
Sirius Red staining showed increased collagen formation in the infarct area in
the anterior wall of the left ventricle, supporting the CMR findings . Hematoxylin-Eosin
showed loss of cardiomyocytes and coronary capillaries, and infiltration of
inflammatory cells. Compared to healthy hearts, digital thresholding indicated significant
edema-related changes in the septum of the MI hearts (Fig. 3).Discussion
As expected, adiabatic T1ρ relaxation time values were
elevated in the ischemic areas due to the fibrosis7, which was confirmed
with histology. However, we observed elevated T1ρ values in the
septum, which could not be connected to the histological findings or 2-D T1ρ
findings. Therefore, further investigation was needed. It is known, that T2
is sensitive to myocardial edema8, which cannot be determined with post-mortem
stainings. Additionally, due to the almost zero echo time, MB-SWIFT is sensitive
to very short T2 values9. For that reason, we wanted to
compare those findings to findings of 2-D T2 maps. It was found that
both T2 and T1ρ MB-SWIFT-CS values were elevated in the septum. Additionally,
digital analysis revealed empty space between the myocytes, associated with initial
edema in the septum, which supports our findings.
CS translated well to MB-SWIFT, enabling shorter
acquisition time. The results indicated that the relaxation time weighted MB-SWIFT-CS
is an accurate tool for imaging ischemic changes in the myocardium
quantitatively, three-dimensionally and in accelerated way.Conclusion
With this method, we were able to determine MI and remote areas with
novel fast quantitative 3-D assessment.Acknowledgements
This study was supported by The Finnish Foundation for Cardiovascular
Research, Orion Research Foundation, Urho Känkänen Foundation, GeneCellNano
Flagship project, Olvi Foundation and Päivikki and Sakari Sohlberg Foundation and the Academy of Finland projects #325146 and #354693. Additionally, authors thank the
Kuopio Biomedical imaging unit (BIU) for providing infrastructure for this
study.References
[1] WHO CVD Risk Chart Working Group (2019). World Health Organization
cardiovascular disease risk charts: revised models to estimate risk in 21
global regions. The Lancet. Global health, 7(10), e1332–e1345.
[2] Kramer, C.M.,
Barkhausen, J., Bucciarelli-Ducci, C. et al. Standardized cardiovascular
magnetic resonance imaging (CMR) protocols: 2020 update. J Cardiovasc Magn
Reson 22, 17 (2020).
[3] Idiyatullin D, Corum CA, Garwood M. Multi-Band-SWIFT. J Magn Reson.
2015 Feb;251:19-25
[4] Donoho, D.L. (2004) “Compressed Sensing. Information Theory,” IEEE
Transactions on, 52(4), 1289-13065
[5] Zhang, J.,
Nissi, M. J., Idiyatullin, D., Michaeli, S., Garwood, M., & Ellermann, J.
(2016). Capturing fast relaxing spins with SWIFT adiabatic rotating frame
spin-lattice relaxation (T1ρ) mapping. NMR in biomedicine, 29(4), 420–430.
[6] Schindelin, J., Arganda-Carreras, I., Frise, E. et al. Fiji: an
open-source platform for biological-image analysis. Nat Methods 9,
676–682 (2012).
[7] Thompson, E.W., Kamesh Iyer, S., Solomon, M.P. et al.
Endogenous T1ρ
cardiovascular magnetic resonance in hypertrophic cardiomyopathy. J
Cardiovasc Magn Reson 23, 120 (2021).
[8] Abdel-Aty, H., Zagrosek, A., Schulz-Menger, J., Taylor, A. J.,
Messroghli, D., Kumar, A., Gross, M., Dietz, R., & Friedrich, M. G. (2004).
Delayed enhancement and T2-weighted cardiovascular magnetic resonance imaging
differentiate acute from chronic myocardial infarction. Circulation,
109(20), 2411–2416.
[9] Idiyatullin D, Corum C, Park J-Y, Garwood M. Fast and quiet MRI
using a swept radiofrequency. J. Magn. Reson. 2006;181:342–349