Abdominal <scp>DCE</scp>‐<scp>MRI</scp> reconstruction with deformable motion correction for liver perfusion quantification

Johansson, Amanda; Balter, James M.; Cao, Yue

doi:10.1002/mp.13118

Cited by 20 publications

(25 citation statements)

References 38 publications

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“…Recently, Johansson et al presented a deformable MC approach for DCE‐MRI of the liver. In contrast to our work, motion is not applied during image reconstruction, but a simplified back‐projection deformation approach is used, which carries out MC as a preprocessing step before image reconstruction .…”

Section: Discussionmentioning

confidence: 99%

3D nonrigid motion correction for quantitative assessment of hepatic lesions in DCE‐MRI

Ippoliti

Lukas

Brenner

et al. 2019

Magnetic Resonance in Med

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Purpose To provide nonrigid respiratory motion‐corrected DCE‐MRI images with isotropic resolution of 1.5 mm, full coverage of abdomen, and covering the entire uptake curve with a temporal resolution of 6 seconds, for the quantitative assessment of hepatic lesions. Methods 3D DCE‐MRI data were acquired at 3 T during free breathing for 5 minutes using a 3D T1‐weighted golden‐angle radial phase‐encoding sequence. Nonrigid respiratory motion information was extracted and used in motion‐corrected image reconstruction to obtain high‐quality DCE‐MRI images with temporal resolution of 6 seconds and isotropic resolution of 1.5 mm. An extended Tofts model was fitted to the dynamic data sets, yielding quantitative parametric maps of endothelial permeability using the hepatic artery as input function. The proposed approach was evaluated in 11 patients (52 ± 17 years, 5 men) with and without known hepatic lesions, undergoing DCE‐MRI. Results Respiratory motion produced artifacts and misalignment between dynamic volumes (lesion average motion amplitude of 3.82 ± 1.11 mm). Motion correction minimized artifacts and improved average contrast‐to‐noise ratio of hepatic lesions in late phase by 47% (p < .01). Quantitative endothelial permeability maps of motion‐corrected data demonstrated enhanced visibility of different pathologies (e.g., metastases, hemangiomas, cysts, necrotic tumor substructure) and showed improved contrast‐to‐noise ratio by 62% (p < .01) compared with uncorrected data. Conclusion 3D nonrigid motion correction in DCE‐MRI improves both visual and quantitative assessment of hepatic lesions by ensuring accurate alignment between 3D DCE images and reducing motion blurring. This approach does not require breath‐holds and minimizes scan planning by using a large FOV with isotropic resolution.

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Section: Discussionmentioning

confidence: 99%

3D nonrigid motion correction for quantitative assessment of hepatic lesions in DCE‐MRI

Ippoliti

Lukas

Brenner

et al. 2019

Magnetic Resonance in Med

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“…To reconstruct the gastric 4D MRI, the motion‐corrected back‐projections of individual spokes were sorted according to their gastric cycle phase as indicated by φ . After sorting, the back‐projections were combined using view sharing along the gastric dimension using a view‐sharing filter 21 with a width of 200 spokes at the center and 400 spokes at the periphery of k‐space.…”

Section: Methodsmentioning

confidence: 99%

“…This alignment was performed using open source deformable alignment software (NiftyReg) with registration parameters identical to those reported in Ref. [21].…”

Section: Methodsmentioning

confidence: 99%

“…Acquired raw data were reconstructed into a time series of three-dimensional images without visible respiratory motion using a previously described technique for DCE-MRI 4D reconstruction with respiratory motion correction. 21 The technique first extracts a respiratory motion signal from the superior-inferior motion of the liver dome in an image time series reconstructed with high temporal but low spatial resolution from the stack-of-stars data. Acquired radial spokes are then sorted from exhale to inhale and reconstructed using viewsharing into a respiratory 4D MRI.…”

Section: B Respiratory Motion Correctionmentioning

confidence: 99%

“…We have previously developed techniques to image dynamic changes in the abdomen free of confounding respiratory motion. 20,21 In this study, we present a method for four-dimensional (4D) imaging of periodic gastric motion and employ this method to study motion patterns of the stomach during MR simulation for radiation therapy.…”

Section: Introductionmentioning

confidence: 99%

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Gastrointestinal 4D MRI with respiratory motion correction

2021

Self Cite

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Gastrointestinal motion patterns such as peristalsis and segmental contractions can alter the shape and position of the stomach and intestines with respect to other irradiated organs during radiation therapy. Unfortunately, these deformations are concealed by conventional four-dimensional (4D)-MRI techniques, which were developed to visualize respiratory motion by binning acquired data into respiratory motion states without considering the phases of GI motion. We present a method to reconstruct breathing-compensated images showing the phases of periodic gastric motion and study the effect of this motion on regional anatomical structures. Methods: Sixty-seven DCE-MRI examinations were performed on patients undergoing MRI simulation for hepatocellular carcinoma using a golden-angle stack-of-stars sequence that collected 2000 radial spokes over 5 min. The collected data were reconstructed using a method with integrated respiratory motion correction into a time series of 3D image volumes without visible breathing motion. From this series, a gastric motion signal was extracted by temporal filtering of time-intensity curves in the stomach. Using this motion signal, breathing-corrected back-projection images were sorted according to the gastric phase and reconstructed into 21 gastric motion state images showing the phases of gastric motion. Results: Reconstructed image volumes showed gastric motion states clearly with no visible breathing motion or related artifacts. The mean frequency of the gastric motion signal was 3 cycles/min with a standard deviation of 0.27 cycles/min. Conclusions: Periodic gastrointestinal motion can be visualized without confounding respiratory motion using the presented GI 4D MRI technique. GI 4D MRIs may help define internal target volumes for treatment planning, aid in planning organ at risk volume definition, or support motion model development for gastrointestinal motion tracking algorithms for real-time MR-guided radiation therapy.

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Accelerated brain tumor dynamic contrast‐enhanced MRI using Adaptive Pharmaco‐Kinetic Model Constrained method

Liu

Jin

et al. 2021

Int J Imaging Syst Tech

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In brain tumor, dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) spatiotemporally resolved high‐quality reconstruction which is required for quantitative analysis of some physiological characteristics of brain tissue. By exploiting some kind of sparsity priori, compressed sensing methods can achieve high spatiotemporal DCE‐MRI image reconstruction from undersampled k‐space data. Recently, as a kind of priori information about the contrast agent (CA) concentration dynamics, Pharmacokinetic (PK) models have been explored for undersampled DCE‐MRI reconstruction. This paper presents a novel dictionary learning‐based reconstruction method with Adaptive Pharmaco‐Kinetic Model Constraints (APKMC). In APKMC, the priori knowledge about CA dynamics is incorporated into a novel dictionary, which consists of PK model‐based atoms and adaptive atoms. The PK atoms are constructed based on Patlak model and K‐SVD dimension reduction algorithm, and the adaptive ones are used to resolve PK model inconsistencies. To solve APKMC, an optimization algorithm based on variable splitting and alternating iterative optimization is presented. The proposed method has been validated on three brain tumor DCE‐MRI data sets by comparing with two state‐of‐the‐art methods. As demonstrated by the quantitative and qualitative analysis of results, APKMC achieved substantially better quality in the reconstruction of brain DCE‐MRI images, as well as in the reconstruction of PK model parameter maps.

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Abdominal DCE‐MRI reconstruction with deformable motion correction for liver perfusion quantification

Abstract: DCE-MRI reconstruction with DMC can restore motion-distorted uptake curves in the abdomen and remove motion artifacts from reconstructed images and parameter maps but does not significantly improve perfusion quantification in the liver compared to RMC.

Cited by 20 publications

References 38 publications

3D nonrigid motion correction for quantitative assessment of hepatic lesions in DCE‐MRI

3D nonrigid motion correction for quantitative assessment of hepatic lesions in DCE‐MRI

Gastrointestinal 4D MRI with respiratory motion correction

Accelerated brain tumor dynamic contrast‐enhanced MRI using Adaptive Pharmaco‐Kinetic Model Constrained method

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