Whole‐heart imaging using undersampled radial phase encoding (RPE) and iterative sensitivity encoding (SENSE) reconstruction

Boubertakh, Redha; Prieto, Claudia; Batchelor, Paul; Uribe, Sergio; Atkinson, David; Eggers, Holger; Sørensen, Thomas Sangild; Hansen, Michael S.; Razavi, Reza; Schaeffter, Tobias

doi:10.1002/mrm.22102

Cited by 25 publications

(24 citation statements)

References 22 publications

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“…The dual-phase sequence that is described here did not benefit from flow compensation gradients. Perhaps, other trajectories with fully velocity compensate gradients may reduce the image quality and CNR differences between systole and diastole (12)(13)(14).…”

Section: Discussionmentioning

confidence: 98%

Three-dimensional Dual-Phase Whole-Heart MR Imaging: Clinical Implications for Congenital Heart Disease

Hussain¹,

Loßnitzer²,

Bellsham‐Revell³

et al. 2012

Radiology

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Section: Discussionmentioning

confidence: 98%

Three-dimensional Dual-Phase Whole-Heart MR Imaging: Clinical Implications for Congenital Heart Disease

Hussain¹,

Loßnitzer²,

Bellsham‐Revell³

et al. 2012

Radiology

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“…G‐RPE 21, 22 combines a regularly sampled Cartesian readout ( k x ) in SI direction with a radial phase encoding order in the k y ‐k z plane, where radial profiles are separated by the golden angle θ G = 111.25° (Figure 1a, top). A G‐RPE acquisition can be undersampled radially by skipping readouts within each radial profile and angularly by acquiring fewer radial profiles (Figure 1a, bottom).…”

Section: Methodsmentioning

confidence: 99%

Accelerated motion corrected three‐dimensional abdominal MRI using total variation regularized SENSE reconstruction

Cruz

Atkinson

Buerger

et al. 2015

Magnetic Resonance in Med

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PurposeDevelop a nonrigid motion corrected reconstruction for highly accelerated free‐breathing three‐dimensional (3D) abdominal images without external sensors or additional scans.MethodsThe proposed method accelerates the acquisition by undersampling and performs motion correction directly in the reconstruction using a general matrix description of the acquisition. Data are acquired using a self‐gated 3D golden radial phase encoding trajectory, enabling a two stage reconstruction to estimate and then correct motion of the same data. In the first stage total variation regularized iterative SENSE is used to reconstruct highly undersampled respiratory resolved images. A nonrigid registration of these images is performed to estimate the complex motion in the abdomen. In the second stage, the estimated motion fields are incorporated in a general matrix reconstruction, which uses total variation regularization and incorporates k‐space data from multiple respiratory positions. The proposed approach was tested on nine healthy volunteers and compared against a standard gated reconstruction using measures of liver sharpness, gradient entropy, visual assessment of image sharpness and overall image quality by two experts.ResultsThe proposed method achieves similar quality to the gated reconstruction with nonsignificant differences for liver sharpness (1.18 and 1.00, respectively), gradient entropy (1.00 and 1.00), visual score of image sharpness (2.22 and 2.44), and visual rank of image quality (3.33 and 3.39). An average reduction of the acquisition time from 102 s to 39 s could be achieved with the proposed method.ConclusionIn vivo results demonstrate the feasibility of the proposed method showing similar image quality to the standard gated reconstruction while using data corresponding to a significantly reduced acquisition time. Magn Reson Med, 2015. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Magn Reson Med 75:1484–1498, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance.

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“…RPE‐PAWS combines RPE ( 19) with a PAWS approach that uses two adjacent respiratory motion bins. RPE uses Cartesian frequency encoding with phase encoding along radial lines (Fig.…”

Section: Methodsmentioning

confidence: 99%

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

Kolbitsch

Prieto

Buerger

et al. 2011

Magnetic Resonance in Med

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Cardiovascular diseases, including arrhythmias and heart failure, are commonly treated with percutaneous procedures guided by X-ray fluoroscopy. The visualization of the targeted structures can be enhanced using preacquired respiratory-resolved anatomic data (dynamic roadmap), which is displayed as an overlay onto X-ray fluoroscopy images. This article demonstrates how dynamic roadmaps using an affine motion model can be obtained from one respiratory-resolved three-dimensional whole-heart acquisition using the previously introduced Radial Phase Encoding-Phase Ordering with Automatic Window Selection method. Respiratory motion in different regions of the heart was analyzed in 10 volunteers, and it was shown that the use of dynamic roadmaps can reduce misalignment errors from more than 10 down to less than 1.5 mm. Furthermore, the results suggest that reliable motion information can be obtained from highly undersampled images due to the advantageous undersampling properties of the radial phase encoding trajectory. Finally, results of a three-dimensional dynamic roadmap obtained from a patient before catheter ablation for atrial fibrillation treatment are presented.

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Whole‐heart imaging using undersampled radial phase encoding (RPE) and iterative sensitivity encoding (SENSE) reconstruction

Cited by 25 publications

References 22 publications

Three-dimensional Dual-Phase Whole-Heart MR Imaging: Clinical Implications for Congenital Heart Disease

Three-dimensional Dual-Phase Whole-Heart MR Imaging: Clinical Implications for Congenital Heart Disease

Accelerated motion corrected three‐dimensional abdominal MRI using total variation regularized SENSE reconstruction

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

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