ArticleMedical physics2017
Hybrid ZTE/Dixon MR-based attenuation correction for quantitative uptake estimation of pelvic lesions in PET/MRI.
Article in Medical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 82 citations in OpenAlex.
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- Assessment of lesion insertion tool in pelvis PET/MR data with applications to attenuation correction method development.Journal of applied clinical medical physics · 2024Article
- International EANM-SNMMI-ISMRM consensus recommendation for PET/MRI in oncology.European journal of nuclear medicine and molecular imaging · 2023Article
- A review of PET attenuation correction methods for PET-MR.EJNMMI physics · 2023Review
- Pelvic PET/MR attenuation correction in the image space using deep learning.Frontiers in oncology · 2023Article
- A deep learning-based whole-body solution for PET/MRI attenuation correction.EJNMMI physics · 2022Article
- Attenuation Coefficient Estimation for PET/MRI With Bayesian Deep Learning Pseudo-CT and Maximum-Likelihood Estimation of Activity and Attenuation.IEEE transactions on radiation and plasma medical sciences · 2022Article
- Impact of TOF on Brain PET With Short-LivedFrontiers in medicine · 2022Article
- Emerging role of integrated PET-MRI in osteoarthritis.Skeletal radiology · 2021Review
- 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
- A decade of multi-modality PET and MR imaging in abdominal oncology.The British journal of radiology · 2021Review
- Deep learning-based T1-enhanced selection of linear attenuation coefficients (DL-TESLA) for PET/MR attenuation correction in dementia neuroimaging.Magnetic resonance in medicine · 2021Article
- Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians.Journal of magnetic resonance imaging : JMRI · 2021Review
- MR-based Attenuation Correction for Brain PET Using 3D Cycle-Consistent Adversarial Network.IEEE transactions on radiation and plasma medical sciences · 2021Article
- Attenuation correction for human PET/MRI studies.Physics in medicine and biology · 2020Article
- MR-based PET attenuation correction using a combined ultrashort echo time/multi-echo Dixon acquisition.Medical physics · 2020Article
- Regional SUV quantification in hybrid PET/MR, a comparison of two atlas-based automatic brain segmentation methods.EJNMMI research · 2020Article
- Deep learning-based MR-to-CT synthesis: The influence of varying gradient echo-based MR images as input channels.Magnetic resonance in medicine · 2020Article
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
purposeThis study introduces a new hybrid ZTE/Dixon MR-based attenuation correction (MRAC) method including bone density estimation for PET/MRI and quantifies the effects of bone attenuation on metastatic lesion uptake in the pelvis.
methodsSix patients with pelvic lesions were scanned using fluorodeoxyglucose (18F-FDG) in an integrated time-of-flight (TOF) PET/MRI system. For PET attenuation correction, MR imaging consisted of two-point Dixon and zero echo-time (ZTE) pulse sequences. A continuous-value fat and water pseudoCT was generated from a two-point Dixon MRI. Bone was segmented from the ZTE images and converted to Hounsfield units (HU) using a continuous two-segment piecewise linear model based on ZTE MRI intensity. The HU values were converted to linear attenuation coefficients (LAC) using a bilinear model. The bone voxels of the Dixon-based pseudoCT were replaced by the ZTE-derived bone to produce the hybrid ZTE/Dixon pseudoCT. The three different AC maps (Dixon, hybrid ZTE/Dixon, CTAC) were used to reconstruct PET images using a TOF-ordered subset expectation maximization algorithm with a point-spread function model. Metastatic lesions were separated into two classes, bone lesions and soft tissue lesions, and analyzed. The MRAC methods were compared using a root-mean-squared error (RMSE), where the registered CTAC was taken as ground truth.
resultsThe RMSE of the maximum standardized uptake values (SUV
conclusionA hybrid ZTE/Dixon MRAC method was developed and applied to pelvic regions in an integrated TOF PET/MRI, demonstrating improved MRAC. This new method included bone density estimation, through which PET quantification is improved.
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