Prospective high‐resolution respiratory‐resolved whole‐heart MRI for image‐guided cardiovascular interventions

Kolbitsch, Christoph; Prieto, Claudia; Buerger, Christian; Harrison, James; Razavi, Reza; Smink, Jouke; Schaeffter, Tobias

doi:10.1002/mrm.23216

Cited by 11 publications

(10 citation statements)

References 22 publications

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“…Additionally, respiratory motion is an important consideration in cardiac MRI, and the patient must hold his/her breath while the data are collected. However, with the advent of non‐Cartesian parallel imaging, real‐time cardiac imaging can now be performed by using acquisition times short enough to freeze cardiac and respiratory motion . Myocardial perfusion is another difficult exam that could be improved by non‐Cartesian parallel imaging .…”

Section: Potential Clinical Applicationsmentioning

confidence: 99%

Non‐Cartesian parallel imaging reconstruction

Wright

Hamilton

Griswold

et al. 2014

Magnetic Resonance Imaging

100

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Non-Cartesian parallel imaging has played an important role in reducing data acquisition time in MRI. The use of non-Cartesian trajectories can enable more efficient coverage of k-space, which can be leveraged to reduce scan times. These trajectories can be undersampled to achieve even faster scan times, but the resulting images may contain aliasing artifacts. Just as Cartesian parallel imaging can be employed to reconstruct images from undersampled Cartesian data, non-Cartesian parallel imaging methods can mitigate aliasing artifacts by using additional spatial encoding information in the form of the non-homogeneous sensitivities of multi-coil phased arrays. This review will begin with an overview of non-Cartesian k-space trajectories and their sampling properties, followed by an in-depth discussion of several selected non-Cartesian parallel imaging algorithms. Three representative non-Cartesian parallel imaging methods will be described, including Conjugate Gradient SENSE (CG SENSE), non-Cartesian GRAPPA, and Iterative Self-Consistent Parallel Imaging Reconstruction (SPIRiT). After a discussion of these three techniques, several potential promising clinical applications of non-Cartesian parallel imaging will be covered.

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Section: Potential Clinical Applicationsmentioning

confidence: 99%

Non‐Cartesian parallel imaging reconstruction

Wright

Hamilton

Griswold

et al. 2014

Magnetic Resonance Imaging

100

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“…The binning strategy has also been used to correct for the respiratory‐induced heart motion using an affine transformation . The respiratory pattern is divided into multiple bins and a 3D radial sample ordering is used to acquire k‐space lines at different respiratory bins.…”

mentioning

confidence: 99%

Free‐Breathing 3D Cardiac MRI Using Iterative Image‐Based Respiratory Motion Correction

Moghari

Roujol

Chan

et al. 2012

Magnetic Resonance in Med

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Respiratory motion compensation using diaphragmatic navigator (NAV) gating with a 5 mm gating window is conventionally used for free-breathing cardiac MRI. Due to the narrow gating window, scan efficiency is low resulting in long scan times, especially for patients with irregular breathing patterns. In this work, a new retrospective motion compensation algorithm is presented to reduce the scan time for free-breathing cardiac MRI that increasing the gating window to 15 mm without compromising image quality. The proposed algorithm iteratively corrects for respiratory-induced cardiac motion by optimizing the sharpness of the heart. To evaluate this technique, two coronary MRI datasets with 1.3 mm3 resolution were acquired from 11 healthy subjects (7 females, 25±9 years); one using a NAV with a 5 mm gating window acquired in 12.0±2.0 minutes and one with a 15 mm gating window acquired in 7.1±1.0 minutes. The images acquired with a 15 mm gating window were corrected using the proposed algorithm and compared to the uncorrected images acquired with the 5 mm and 15 mm gating windows. The image quality score, sharpness, and length of the three major coronary arteries were equivalent between the corrected images and the images acquired with a 5 mm gating window (p-value>0.05), while the scan time was reduced by a factor of 1.7.

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“…Respiratory-motion amplitudes and breathing patterns varied strongly among patients, an observation previously highlighted by other studies (45). The proposed approach provided accurate motion information and a highly efficient PET-MR examination for all patients.…”

Section: Discussionmentioning

confidence: 99%