Daniel K Sodickson

Daniel Kim

Leon Axel

Otazo

P Kellman

Ricardo Otazo

T Makela

English

PubMed

Springer - Publisher Connector

ORAL PRESENTATION Open Access
Combination of compressed sensing and parallel
imaging with respiratory motion correction for
highly-accelerated cardiac perfusion MRI
Ricardo Otazo*, Daniel Kim, Leon Axel, Daniel K Sodickson
From 2011 SCMR/Euro CMR Joint Scientific Sessions
Nice, France. 3-6 February 2011
Introduction
Cardiac perfusion MRI requires fast data acquisition to
achieve an appropriate combination of temporal resolu-
tion, spatial resolution and spatial coverage for clinical
studies [1]. We have recently presented a combination
of compressed sensing and parallel imaging (k-t SPARSE-
SENSE) to highly accelerate perfusion studies [2]. How-
ever, this method is sensitive to respiratory motion,
which decreases temporal sparsity and produces tem-
poral blurring in the reconstructed images. In this
work, we present a rigid respiratory motion correction
method which allows highly-accelerated first-pass
cardiac perfusion MRI to be performed without strict
breath-holding.
Purpose
To develop a respiratory motion correction method for
joint compressed sensing and parallel imaging accelera-
tion of first-pass cardiac perfusion MRI.
Methods
Free-breathing first-pass cardiac perfusion MRI with 0.1
mmol/kg of Gd-DTPA (Magnevist) was performed using
a modified multi-slice TurboFLASH pulse sequence.
Healthy volunteers were imaged on a whole-body 3T
scanner (Siemens; Tim-Trio) using the standard 12-
element body matrix coil array. The relevant imaging
parameters include: FOV = 320mmx320mm, image
resolution = 1.7mmx1.7mm, slice-thickness = 8mm, TE/
TR = 1.3/2.5ms, repetitions=40. An acceleration factor
of 8 was used to acquire 10 slices per heartbeat with
temporal resolution of 60ms/slice. Data undersampling
was performed using a pseudo-random ky-t pattern [2].
Fully-sampled low-resolution coil sensitivity reference
data were acquired in the first heartbeat. Image recon-
struction was performed in two-steps using the k-t
SPARSE-SENSE algorithm [2] with temporal FFT as
sparsifying transform. First, an intermediate k-t SPARSE-
SENSE reconstruction is generated for respiratory
motion correction. Rigid motion between frames is
detected by computing the displacement of each frame
from this intermediate k-t SPARSE-SENSE reconstruc-
tion with respect to the coil sensitivity reference using a
crosscorrelation approach in the image domain [3]. Sec-
ond, motion correction is performed by aligning all the
frames in the accelerated data. The final k-t SPARSE-
SENSE reconstruction is computed using the aligned
accelerated data.
Results
Rigid respiratory motion correction significantly
increased sparsity in the temporal Fourier domain,
which is due to better alignment among frames (Fig. 1).
Fig. 2 shows k-t SPARSE-SENSE reconstruction of a
representative slice from the free-breathing perfusion
scan without and with motion correction. The utiliza-
tion of motion correction decreased temporal blurring
and presented images with higher quality.
Conclusions
This work demonstrates feasibility of highly-accelerated
first-pass cardiac perfusion MRI without strict breath-
holding with rigid respiratory motion correction. Future
work will explore the use of non-rigid motion correc-
tion. The proposed technique may be useful for imaging
patients with impaired breath-hold capabilities.
New York University School of Medicine, New York, NY, USA
Otazo et al. Journal of Cardiovascular Magnetic Resonance 2011, 13(Suppl 1):O98
http://jcmr-online.com/content/13/S1/O98
© 2011 Otazo et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited.
Published: 2 February 2011
References
1. Kellman P, et al: J Cardiovasc MR 2007, 9(3):525-537.
2. Otazo , et al: Magn Reson Med 2010, 64(3):767-776.
3. Makela T, et al: IEEE Trans Med Imag 2002, 21(9):1011-1021.
doi:10.1186/1532-429X-13-S1-O98
Cite this article as: Otazo et al.: Combination of compressed sensing
and parallel imaging with respiratory motion correction for highly-
accelerated cardiac perfusion MRI. Journal of Cardiovascular Magnetic
Resonance 2011 13(Suppl 1):O98.
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Figure 2 k-t SPARSE-SENSE reconstruction of a representative slice
without and with motion correction (MC) for (a) peak blood
enhancement and (b) myocardial wall enhancement.
Figure 1 Sparse y-f domain for intermediate k-t SPARSE-SENSE
reconstruction with (a) no motion correct and (b) motion
correction.
Otazo et al. Journal of Cardiovascular Magnetic Resonance 2011, 13(Suppl 1):O98
http://jcmr-online.com/content/13/S1/O98
Page 2 of 2


Combination of compressed sensing and parallel imaging with respiratory motion correction for highly-accelerated cardiac perfusion MRI

Sodickson Daniel K

Axel Leon

Kim Daniel

Otazo Ricardo

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Cite this article as: Otazo et al.: Combination of compressed sensing and parallel imaging with respiratory motion correction for highlyaccelerated cardiac perfusion MRI.

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Combination of compressed sensing and parallel imaging with respiratory motion correction for highly-accelerated cardiac perfusion MRI

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