ArticleMedical physics2018
Abdominal DCE-MRI reconstruction with deformable motion correction for liver perfusion quantification.
Article in Medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Compressed Sensing-Accelerated Free-Breathing Liver MRI at 7 T.NMR in biomedicine · 2025Article
- PET/CT-Based Absorbed Dose Maps inJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Volumetric MRI with sparse sampling for MR-guided 3D motion tracking via sparse prior-augmented implicit neural representation learning.Medical physics · 2024Article
- Development of an abdominal dose accumulation tool and assessments of accumulated dose in gastrointestinal organs.Physics in medicine and biology · 2023Article
- Real-time prediction of stomach motions based upon gastric contraction and breathing models.Physics in medicine and biology · 2022Article
- Real time volumetric MRI for 3D motion tracking via geometry-informed deep learning.Medical physics · 2022Article
- Volumetric prediction of breathing and slow drifting motion in the abdomen using radial MRI and multi-temporal resolution modeling.Physics in medicine and biology · 2021Article
- Gastrointestinal 4D MRI with respiratory motion correction.Medical physics · 2021Article
- Modeling intra-fractional abdominal configuration changes using breathing motion-corrected radial MRI.Physics in medicine and biology · 2021Article
- A hierarchical model of abdominal configuration changes extracted from golden angle radial magnetic resonance imaging.Physics in medicine and biology · 2021Article
- Motion correction and noise removing in lung diffusion-weighted MRI using low-rank decomposition.Medical & biological engineering & computing · 2020Article
- Bulk motion-compensated DCE-MRI for functional imaging of kidneys in newborns.Journal of magnetic resonance imaging : JMRI · 2020Article
- Abdominal synthetic CT generation from MR Dixon images using a U-net trained with 'semi-synthetic' CT data.Physics in medicine and biology · 2020Article
- 3D nonrigid motion correction for quantitative assessment of hepatic lesions in DCE-MRI.Magnetic resonance in medicine · 2019Article
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3 authors.
Funding
Abstract
purposeAbdominal dynamic contrast-enhanced (DCE) MRI suffers from motion-induced artifacts that can blur images and distort contrast-agent uptake curves. For liver perfusion analysis, image reconstruction with rigid-body motion correction (RMC) can restore distorted portal-venous input functions (PVIF) to higher peak amplitudes. However, RMC cannot correct for liver deformation during breathing. We present a reconstruction algorithm with deformable motion correction (DMC) that enables correction of breathing-induced deformation in the whole abdomen.
methodsRaw data from a golden-angle stack-of-stars gradient-echo sequence were collected for 54 DCE-MRI examinations of 31 patients. For each examination, a respiratory motion signal was extracted from the data and used to reconstruct 21 breathing states from inhale to exhale. The states were aligned with deformable image registration to the end-exhale state. Resulting deformation fields were used to correct back-projection images before reconstruction with view sharing. Images with DMC were compared to uncorrected images and images with RMC.
resultsDMC significantly increased the PVIF peak amplitude compared to uncorrected images (P << 0.01, mean increase: 8%) but not compared to RMC. The increased PVIF peak amplitude significantly decreased estimated portal-venous perfusion in the liver (P << 0.01, mean decrease: 8 ml/(100 ml·min)). DMC also removed artifacts in perfusion maps at the liver edge and reduced blurring of liver tumors for some patients.
conclusionsDCE-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.
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