Rigid‐body motion correction of the liver in image reconstruction for golden‐angle stack‐of‐stars DCE MRI

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

doi:10.1002/mrm.26782

Cited by 19 publications

(32 citation statements)

References 33 publications

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“…The

\bar{RMSD}

measured across all investigated lesions reveals an average absolute displacement of approximately 4 mm, ranging from 2 mm to 6 mm. These measures agree with recent studies that reported an average translational rigid liver motion comprised between 1.2 mm and 19.9 mm, depending on the examined location . However, the observed increase in CNR values is not only directly related to the motion amplitude of the lesions before MC is applied.…”

Section: Discussionsupporting

confidence: 92%

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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“…The

\bar{RMSD}

Section: Discussionsupporting

confidence: 92%

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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“…These oscillations can be counteracted by deformable alignment to produce smoother uptake curves. Our study supports this claim but also suggests that the additional improvement of image quality in the liver resulting from DMC is small compared to that already achieved by RMC . A benefit of correcting back‐projection images for motion, as done in this study, rather than reconstructed images is that only the motion signal needs to have a high‐enough temporal resolution to resolve the breathing cycles whereas the reconstructed time series only need to resolve the contrast‐agent dynamics.…”

Section: Discussionmentioning

confidence: 99%

“…The back‐projected images, previously created, were combined into a time series without motion correction using

σ_{truemin} = 5

, producing a temporal resolution (

2 σ

) of 2 s at the center of

boldk

‐space. This temporal resolution has previously been found sufficient to represent CA uptake curves . An upper limit,

σ_{truemax} = 144

, was selected to be large enough to allow maximum spatial resolution and resulted in a temporal resolution of 58 s at the periphery of

boldk

‐space.…”

Section: Methodsmentioning

confidence: 99%

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

2018

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“…There are a number of ways the current data analysis can be further improved. Respiratory motion is major contributor of variation of quantitative liver MR imaging [11, 33], it is expected that motion correction can further improve the reliability of IVIM quantification [34, 35]. Another possibility will be poorly fitted pixels are statistically removed [36].…”

Section: Discussionmentioning

confidence: 99%

Dependence of Intravoxel Incoherent Motion diffusion MR thresholdb-value selection for separating perfusion and diffusion compartments and liver fibrosis diagnostic performance

Lǐ

Hua³

et al. 2017

Preprint

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PurposeTo explore how the selection of threshold b-value impacts Intravoxel Incoherent Motion (IVIM) diffusion parameters of PF (f), Dslow (D),and Dfast (D*) values and their performance for liver fibrosis detection.Materials and MethodsFifteen healthy volunteers and 33 hepatitis-b patients were included. With a 1.5 T MR scanner and respiration gating, IVIM data was acquired with 10 b-values of 10,20,40,60,80,100,150, 200, 400, and 800 s/mm2. Signal measurement was performed on right liver. Segmented-unconstrained analysis was used to compute IVIM parameters, and six threshold b-values between 40 and 200 s/mm2 were compared. PF, Dslow, and Dfast values were placed along the x-axis, y-axis, and z-axis, and a plane was defined to separate volunteers from patients.ResultsHigher threshold b-values were associated with higher PF measurement; while lower threshold b-values led to higher Dslow and Dfast measurements. The dependence of PF, Dslow, and Dfast on threshold b-value differed between healthy livers and fibrotic livers; with the healthy livers showing a higher dependence. Threshold b-value=60 s/mm2 showed the largest mean distance between healthy liver datapoints vs. fibrotic liver datapoints in 3-dimensional space.ConclusionFor segmented-unconstrained analysis, the selection of threshold b-value=60 s/mm2 improves IVIM diffusion differentiation between healthy livers and fibrotic livers.

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Rigid‐body motion correction of the liver in image reconstruction for golden‐angle stack‐of‐stars DCE MRI

Abstract: Motion-corrected image reconstruction restores uptake curves distorted by motion. Motion correction also reduces motion artifacts in estimated perfusion parameter maps. Magn Reson Med 79:1345-1353, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Cited by 19 publications

References 33 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

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

Dependence of Intravoxel Incoherent Motion diffusion MR thresholdb-value selection for separating perfusion and diffusion compartments and liver fibrosis diagnostic performance

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