Accelerated acquisition of tagged MRI for cardiac motion correction in simultaneous PET‐MR: Phantom and patient studies

Huang, Chuan; Petibon, Yoann; Ouyang, Jinsong; Reese, Timothy G.; Ahlman, Mark A.; Bluemke, David A.; Fakhri, Georges El

doi:10.1118/1.4906247

Cited by 36 publications

(35 citation statements)

References 56 publications

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“…A 2-chamber slice from the delayed enhancement MR scan shows enhancement of the inferior wall of the left ventricle. This region correlates well with low uptake in the corresponding 18 F-FDG PET scan, although PET seems to overestimate the subendocardial scar. In the bull's-eye plot, the low uptake region is clearly depicted for both the uncorrected and the MCIR approach.…”

Section: Pet In Vivo Mcirmentioning

confidence: 58%

“…Furthermore, tagged MR images have been used for cardiac motion correction in phantom experiments (18). However, 3-dimensional (3D) MR tagging is a time-consuming technique, which has not yet found broad clinical use.…”

mentioning

confidence: 99%

“…The proposed method was evaluated in vivo in a canine infarct model and demonstrated in in vivo human 18 F-FDG PET/MR scans. The effect of MCIR on high-resolution MR and PET image quality was assessed-that is, localization of tracer uptake in the myocardium and contrastto-noise ratio (CNR) between myocardium and blood.…”

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confidence: 99%

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Cardiac and Respiratory Motion Correction for Simultaneous Cardiac PET/MR

et al. 2017

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Cardiac PET is a versatile imaging technique providing important diagnostic information about ischemic heart diseases. Respiratory and cardiac motion of the heart can strongly impair image quality and therefore diagnostic accuracy of cardiac PET scans. The aim of this study was to investigate a new cardiac PET/MR approach providing respiratory and cardiac motion-compensated MR and PET images in less than 5 min. Methods: Free-breathing 3-dimensional MR data were acquired and retrospectively binned into multiple respiratory and cardiac motion states. Three-dimensional cardiac and respiratory motion fields were obtained with a nonrigid registration algorithm and used in motion-compensated MR and PET reconstructions to improve image quality. The improvement in image quality and diagnostic accuracy of the technique was assessed in simultaneous 18 F-FDG PET/MR scans of a canine model of myocardial infarct and was demonstrated in a human subject. Results: MR motion fields were successfully used to compensate for in vivo cardiac motion, leading to improvements in full width at half maximum of the canine myocardium of 13% 6 5%, similar to cardiac gating but with a 90% 6 57% higher contrast-to-noise ratio between myocardium and blood. Motion correction led to an improvement in MR image quality in all subjects, with an increase in sharpness of the canine coronary arteries of 85% 6 72%. A functional assessment showed good agreement with standard MR cine scans with a difference in ejection fraction of 22% 6 3%. MR-based respiratory and cardiac motion information was used to improve the PET image quality of a human in vivo scan. Conclusion: The MR technique presented here provides both diagnostic and motion information that can be used to improve MR and PET image quality. Reliable respiratory and cardiac motion correction could make cardiac PET results more reproducible.

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Section: Pet In Vivo Mcirmentioning

confidence: 58%

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confidence: 99%

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Cardiac and Respiratory Motion Correction for Simultaneous Cardiac PET/MR

et al. 2017

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“…In thoracic PET imaging, several motion detection techniques have been proposed, through builtin readout of the respiratory position and special radial-self gating sequences, respectively [186,187,191]. Cardiac motion is most commonly estimated by using cine-MR imaging and tagged MR imaging [192].…”

Section: Motion Compensationmentioning

confidence: 99%

Hybrid Imaging: Instrumentation and Data Processing

et al. 2018

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State-of-the-art patient management frequently requires the use of non-invasive imaging methods to assess the anatomy, function or molecular-biological conditions of patients or study subjects. Such imaging methods can be singular, providing either anatomical or molecular information, or they can be combined, thus, providing "anato-metabolic" information. Hybrid imaging denotes image acquisitions on systems that physically combine complementary imaging modalities for an improved diagnostic accuracy and confidence as well as for increased patient comfort. The physical combination of formerly independent imaging modalities was driven by leading innovators in the field of clinical research and benefited from technological advances that permitted the operation of PET and MR in close physical proximity, for example. This review covers milestones of the development of various hybrid imaging systems for use in clinical practice and small-animal research. Special attention is given to technological advances that helped the adoption of hybrid imaging, as well as to introducing methodological concepts that benefit from the availability of complementary anatomical and biological information, such as new types of image reconstruction and data correction schemes. The ultimate goal of hybrid imaging is to provide useful, complementary and quantitative information during patient work-up. Hybrid imaging also opens the door to multi-parametric assessment of diseases, which will help us better understand the causes of various diseases that currently contribute to a large fraction of healthcare costs.

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“…based on Monte Carlo simulations (Rahmim et al, 2008) or direct point source measurements (Panin et al, 2006)) and that (2) motion vector fields describing the displacement of individual voxels between all motion phases and a chosen reference one is measured (e.g. using the PET data themselves (Dawood et al, 2013), or MRI in PET-MR (Petibon et al, 2013, Huang et al, 2015)). Alternatively, joint estimation of motion fields and motion-corrected parametric images could be performed, as recently proposed by Jiao et al in the case of dynamic brain PET imaging and rigid head motion parameters (Jiao et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Direct parametric reconstruction in dynamic PET myocardial perfusion imaging:in vivostudies

et al. 2017

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Dynamic PET myocardial perfusion imaging (MPI) used in conjunction with tracer kinetic modeling enables the quantification of absolute myocardial blood flow (MBF). However, MBF maps computed using the traditional indirect method (i.e. post-reconstruction voxel-wise fitting of kinetic model to PET time-activity-curves -TACs) suffer from poor signal-to-noise ratio (SNR). Direct reconstruction of kinetic parameters from raw PET projection data has been shown to offer parametric images with higher SNR compared to the indirect method. The aim of this study was to extend and evaluate the performance of a direct parametric reconstruction method using in-vivo dynamic PET MPI data for the purpose of quantifying MBF. Dynamic PET MPI studies were performed on two healthy pigs using a Siemens Biograph mMR scanner. List-mode PET data for each animal were acquired following a bolus injection of ~7-8 mCi of 18F-flurpiridaz, a myocardial perfusion agent. Fully-3D dynamic PET sinograms were obtained by sorting the coincidence events into 16 temporal frames covering ~5 min after radiotracer administration. Additionally, eight independent noise realizations of both scans - each containing 1/8th of the total number of events - were generated from the original list-mode data. Dynamic sinograms were then used to compute parametric maps using the conventional indirect method and the proposed direct method. For both methods, a one-tissue compartment model accounting for spillover from the left and right ventricle blood-pools was used to describe the kinetics of 18F-flurpiridaz. An image-derived arterial input function obtained from a TAC taken in the left ventricle cavity was used for tracer kinetic analysis. For the indirect method, frame-by-frame images were estimated using two fully-3D reconstruction techniques: the standard Ordered Subset Expectation Maximization (OSEM) reconstruction algorithm on one side, and the One-Step Late Maximum a Posteriori (OSL-MAP) algorithm on the other side, which incorporates a quadratic penalty function. The parametric images were then calculated using voxel-wise weighted least-square fitting of the reconstructed myocardial PET TACs. For the direct method, parametric images were estimated directly from the dynamic PET sinograms using a maximum a posteriori (MAP) parametric reconstruction algorithm which optimizes an objective function comprised of the Poisson log-likelihood term, the kinetic model and a quadratic penalty function. Maximization of the objective function with respect to each set of parameters was achieved using a preconditioned conjugate gradient algorithm with a specifically developed pre-conditioner. The performance of the direct method was evaluated by comparing voxel- and segment-wise estimates of K1, the tracer transport rate (mL.min−1.mL−1), to those obtained using the indirect method applied to both OSEM and OSL-MAP dynamic reconstructions. The proposed direct reconstruction method produced K1 maps with visibly lower noise than the indirect method based on OSEM and OSL-MAP recon...

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Accelerated acquisition of tagged MRI for cardiac motion correction in simultaneous PET‐MR: Phantom and patient studies

Cited by 36 publications

References 56 publications

Cardiac and Respiratory Motion Correction for Simultaneous Cardiac PET/MR

Cardiac and Respiratory Motion Correction for Simultaneous Cardiac PET/MR

Hybrid Imaging: Instrumentation and Data Processing

Direct parametric reconstruction in dynamic PET myocardial perfusion imaging:in vivostudies

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