ArticleEJNMMI physics2014
Impact of incorrect tissue classification in Dixon-based MR-AC: fat-water tissue inversion.
Article in EJNMMI physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.
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Who cites it
32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 citations in OpenAlex.
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- Diagnostic Value of FDG PET/MRI in Females With Pelvic Malignancy-A Systematic Review of the Literature.Frontiers in oncology · 2020Pooled it
- Respiratory motion-corrected quiescent period gating magnetic resonance attenuation correction (Q.MRAC) for enhancing quantitative accuracy in hepatic [18F]FDG PET/MRI: a dual-domain motion compensation study.Quantitative imaging in medicine and surgery · 2026Article
- Non-invasive mapping of brown adipose tissue activity with magnetic resonance imaging.Nature metabolism · 2024Article
- Dixon T2 imaging of vertebral bone edema: reliability and comparison with short tau inversion recovery.Acta radiologica (Stockholm, Sweden : 1987) · 2024Article
- Artifact-free fat-water separation in Dixon MRI using deep learning.Journal of big data · 2023Article
- Novel methodology to quantify dehydration in head and neck cancer radiotherapy using DIXON MRI.Journal of medical radiation sciences · 2022Article
- Diagnostic value of hybrid FDG-PET/MR imaging of chronic osteomyelitis.European journal of hybrid imaging · 2022Article
- The future of PSMA PET and WB MRI as next-generation imaging tools in prostate cancer.Nature reviews. Urology · 2022Review
- Deep learning for Dixon MRI-based attenuation correction in PET/MRI of head and neck cancer patients.EJNMMI physics · 2022Article
- Cardiac PET/MR: Are sophisticated attenuation correction techniques necessary for clinical routine assessments?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Assessing the qualitative and quantitative impacts of simple two-class vs multiple tissue-class MR-based attenuation correction for cardiac PET/MR.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Simultaneous Multiple Resonance Frequency imaging (SMURF): Fat-water imaging using multi-band principles.Magnetic resonance in medicine · 2021Article
- Standard MRI-based attenuation correction for PET/MRI phantoms: a novel concept using MRI-visible polymer.EJNMMI physics · 2021Article
- Attenuation correction for human PET/MRI studies.Physics in medicine and biology · 2020Article
- Two-point Dixon fat-water swapping artifact: lesion mimicker at musculoskeletal T2-weighted MRI.Skeletal radiology · 2020Article
- Whole-Body Atherosclerosis Imaging by Positron Emission Tomography/Magnetic Resonance Imaging: From Mice to Nonhuman Primates.Arteriosclerosis, thrombosis, and vascular biology · 2020Review
- Assessment of attenuation correction for myocardial PET imaging using combined PET/MRI.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019Article
- Hybrid FDG-PET/MR imaging of chronic osteomyelitis: a prospective case series.European journal of hybrid imaging · 2019Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe current MR-based attenuation correction (AC) used in combined PET/MR systems computes a Dixon attenuation map (MR-ACDixon) based on fat and water images derived from in- and opposed-phase MRI. We observed an occasional fat/water inversion in MR-ACDixon. The aim of our study was to estimate the prevalence of this phenomenon in a large patient cohort and assess the possible bias on PET data.
methodsPET/MRI was performed on a Siemens Biograph mMR (Siemens AG, Erlangen, Germany). We visually inspected attenuation maps of 283 brain or head/neck (H/N) patients, classified them as non-inverted or inverted, and calculated the fat/water tissue fraction. We selected ten FDG-PET brain patients with non-inverted attenuation maps for further analysis. Tissue inversion was simulated, and PET images were reconstructed using both original and inverted attenuation maps. The FDG-PET images of the ten brain patients were analyzed using 11 concentric annulus regions of 5 mm width placed over a central transaxial image plane traversing PETDixon.
resultsOut of the 283 patients, a fat/water inversion in 23 patients (8.1%) was observed. The average fraction of fat in the correct MR-ACDixon was 13% for brain and 17% for H/N patients. In the inverted cases, we found an average fat fraction of 56% for the brain patients and 41% for the H/N patients. The effect of the simulated tissue inversion in the brain studies was clearly seen on AC-PET images. The percent-difference image revealed a radial error where the largest difference was at the ventricles (30% ± 3%) and smallest at the cortical region (10% ± 2%).
conclusionsTissue inversion in Dixon MRI is well known and can occur when there is an error in the off-resonance correction method. Tissue inversion needs to be considered if, based on Dixon-AC, the construction of normal PET databases is performed or any quantitative physiological parameters are fitted. Visual inspection is needed if Dixon-AC is to be used in clinical routine.
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